99.95%
Uptime SLA
Two ways to run an agentic AI platform. One owns the hardware, the memory, the storage, and the network. The other rents all four from a multi-tenant vendor and reaches them over the Public Internet. The architectures are not comparable — and the spec sheets prove it.
Same agentic workload — answer a customer call, look up the CRM, book the meeting, send the email. Two completely different stacks underneath.
Compute, memory, storage, network, security, sovereignty, cost. Every layer of an AI platform measured against its real-world counterpart.
| Layer | SARAH AI Suite (NVIDIA DGX GB300) | OpenClaw / Hermes on a Public-Cloud VPS |
|---|---|---|
| Edge / DC architecture | On-prem SARAH Spark 2 Router handles the voice path locally · DGX GB300 in our DC handles inference · up to 400 GE between them · audio never leaves the premise | Everything on one rented GPU · every stage contends for the same VRAM slot |
| GPU silicon | 72× NVIDIA Blackwell Ultra · GB300 full rack · Light Matter chips & switches · LLM-only workload | 1× shared instance GPU · whatever the cloud vendor schedules you |
| VRAM (total) | 20 TB HBM3e · single coherent pool | 16–80 GB on the instance · ends at the box boundary |
| VRAM (per call) | 3 GB dedicated · isolated to that conversation · zero contention | No per-call allocation · whatever the runtime scrapes from a shared pool |
| Memory bandwidth | 576 TB/s aggregate | ~2–3 TB/s peak per GPU · degrades under noisy-neighbour load |
| Model storage | Local NVMe · ~670 GB Deep Thinker + ~244 GB Doer · loaded once, served forever | Cloud block storage or HuggingFace pull at boot · re-downloaded on instance restart |
| Per-call working memory | 128K-token context window held in dedicated VRAM for the life of the call | Context window survives only as long as the shared GPU lets it |
| Backbone network | Up to 400 GE from SARAH Spark 2 Router to DGX GB300 · Private Enterprise IP Network · physical fibre | Shared cloud-vendor fabric · TCP over the open internet for anything external |
| Public-internet exposure | None. The platform is unreachable from the open web by design. | Public IPs · open ports · part of the cloud-vendor's blast radius |
| External-vendor reach | Direct peering with Google Cloud, AWS, Azure, Cloudflare · private interconnect, no public hop | Public-internet egress to every service, even same-cloud APIs unless you build VPC peering yourself |
| Inference latency | Sub-400 ms first-word · streaming TTS · parallel sentence synthesis | Variable: cold-start + queue + cloud-network hops + shared GPU contention |
| Tenant model | Single-tenant · the silicon is physically yours | Multi-tenant · your conversation shares hardware with arbitrary strangers |
| Data sovereignty | 100% on your premises (or our PEIPN) · data never crosses borders unless you say so | Vendor terms govern what they do with your prompts and outputs |
| Cost model | Buy once, own forever · zero per-token meter · zero per-block charge | Per-token, per-second-GPU, per-egress-GB · the meter never stops |
| Vendor lock-in | None. The hardware and the software are yours; open-source LLMs fine-tuned in-house. | Cloud vendor + framework vendor + occasional model vendor — three locks per workflow |
| Failure domain | A single rack you can see · 394 restore points · 200 kW EMG off-grid power | A region in someone else's data centre. Their outage is your outage. |
| Compliance posture | SOC 2 / ISO 27001 / GDPR / CCPA / HIPAA / PCI DSS · examiner-ready audit trail | Inherits cloud-vendor SOC 2 + your own scaffolding · audit trail you have to build |
Memory bandwidth is the silent variable that decides how many concurrent conversations a platform can sustain. The honest comparison, scaled.
Bars scaled to the GB300's 576 TB/s. Cloud-rented GPUs are also typically shared and oversubscribed, so real-world throughput is lower than peak.
The internet was built to connect strangers. Your AI platform should be built to connect you to your dependencies — at line rate, on physical fibre, with no shared pipe in the middle.
SARAH AI Suite's Private Enterprise IP Network terminates directly into the four interconnect fabrics that run most of the world's cloud workloads. When SARAH needs to read a Google Sheet, post to an S3 bucket, hit an Azure Cognitive endpoint, or push through Cloudflare — none of those packets touch the open internet. They ride a private cross-connect.
Every client site runs in its own VLAN on the PEIPN. The physical fibre is shared with our other clients, but the Layer-2 boundary is yours alone — no broadcast, no ARP visibility, no inter-tenant traffic ever lands on your interface. Your private network ends at your premises, full stop.
The OpenClaw / Hermes VPS comparison: a public IP, a TCP egress over a shared cloud fabric, a Public-Internet hop to every external dependency, and a full attack surface that the public web can probe at will. Same workload. Two universes of risk.
An open-source agent framework on a rented GPU is "free" the way a treadmill at a gym is free — you pay for everything attached to it. SARAH AI Suite does not have a meter to attach.
| Cost item | SARAH AI Suite | OpenClaw / Hermes on a VPS |
|---|---|---|
| GPU instance time | Included · the silicon is yours | Per-second meter · 24/7 to keep the agent warm |
| Token throughput | No per-token meter · run it as hard as the silicon will go | Per-token bill if you use a hosted LLM behind the framework |
| Egress bandwidth | Direct peering · effectively flat-rate inside the PEIPN | Per-GB egress meter to every external destination |
| Storage I/O | Local NVMe · no IOPS bill | Per-GB-month + per-IOPS on cloud block storage |
| Idle cost | Zero. Idle silicon is silicon you already own. | The VPS is billing the moment you spin it up — even at 3am with nobody calling |
| Year-3 cost trajectory | Maintenance only ($300K/yr Enterprise · $3M/yr DC) | Same line items, same meters, three more years of inflation |
OpenClaw and Hermes are good open-source agent frameworks. Run on a public-cloud VPS, they will get you a demo. They will not get you an enterprise. Once the conversation matters, the architecture decides everything — and a sovereign, single-tenant, GB300-class platform on a 4 TB/E private fibre network is a different category of system than a multi-tenant agent on a rented GPU.
Schedule a 30-minute architecture review with the Australian engineers who built SARAH AI Suite. We'll map your existing agent stack against the GB300 reference and tell you, honestly, whether you'd be better off with a sovereign deployment.
Practical, intuitive, and stood the test of time — Analogue → Digital → IP → Algorithms → AI → Agentic AI. Connects the old enterprise world to the new agentic world through a global Private Enterprise IP Network. Connects, learns, spins up, and orchestrates autonomously.
SARAH AI Suite is a family of products that share a single brain, a single voice, and a single set of integrations. Buy what you need today; everything else snaps in tomorrow — same login, same knowledge, same identity across every product.
The flagship. 8× NVIDIA B300, 2,240 GB VRAM, 1,000 concurrent agents, full dual-brain. The on-premise box that runs your entire company.
The mid-market workhorse. 8× Blackwell RTX 6000 PRO, 200 concurrent agents, 235B model on-device. Same software stack, smaller footprint.
NVIDIA DGX GB300 full rack. 20 TB VRAM, 30,000 concurrent C-level agents at 1:1 contention (10,000 voice). For telcos, BPOs, and government — data-centre scale.
The browser-based front end. Email-as-phone-number, SIP + WebRTC simultaneous ring, no app store. Included with every deployment.
SARAH AI Suite sits between two parties — your SARAH AI Suite ↔ their SARAH AI Suite. Negotiates calendar, real-estate, vendor, and contract terms. Email-as-identifier.
The per-owner appliance. Owner / spouse / children identity hierarchy, smart-home control, calendar, and email — your AI, under your roof.
SARAH AI Suite instances negotiate with each other across the world via signed Agent-to-Agent API. Your SARAH AI Suite talks to theirs; both stay sovereign to their owners.
Single-tenant, single-purpose AI receptionist. The entry point — plug into a small business in an afternoon, upgrade to Pro when ready.
A clear definition, four reasons it matters, and how SARAH AI Suite is sovereign by construction.
A sovereign AI platform is one your organisation actually owns, controls, and runs — on your hardware, inside your perimeter, on a network you operate. Not rented from a vendor. Not multi-tenanted with strangers. Not subject to a vendor's outage, price hike, or change of ownership. The opposite — call it tenant AI — is what most enterprises are quietly buying today: conversations processed in shared data centres on shared GPUs, data potentially recycled into models your competitors will use tomorrow, inference routed through a third-party API whose terms can change with a press release. A "private" deployment that depends on the integrity of a vendor you don't audit is not sovereignty. It's a lease.
Why you should care comes down to four hard realities. (1) Regulators are tightening. GDPR, HIPAA, SR 11-7, OCC 2011-12, FDIC FIL-22-2017, GLBA — every one now expects you to know exactly where your data is, who can access it, and how the AI making customer-facing decisions actually works. A vendor SOC 2 letter is not the same as your own audit trail. (2) Vendor lock-in is the new IT debt. The companies most exposed to AI pricing in 2030 are the ones who outsourced inference in 2025. By the time ten thousand workflows depend on someone else's API, the bill is no longer up to you. (3) Competitive intelligence leaks. Every prompt you send to a third-party model is a signal, and signals at scale become a model. Your customer-conversation telemetry is a strategic asset; it should not leave your building. (4) Service continuity is yours, not theirs. When your AI vendor has an outage, your contact centre goes silent. When your AI vendor pivots, your roadmap pivots with them. Sovereign platforms fail on your terms, recover on your terms, and upgrade on your terms.
SARAH AI Suite is sovereign by construction, not by checkbox. Every model is open-source, fine-tuned in-house on 2,000+ C-Suite interviews, and runs on your hardware. Every voice is generated locally — no external speech provider in the path. Every one of the 309 connectors is hand-coded, with no Zapier or Make or n8n in the middle. Hosting is either on-premise inside your building or on our true Private Enterprise IP Network with physical Layer 2 connectivity (10 GE up to 4 TB/E). Your AI. Your data. Your decisions. Forever.
Every byte of inference, every voice, every connector — built from scratch and run inside your perimeter. The full agentic stack, end-to-end, with no third-party API hiding in the call path.
Every line of SARAH AI Suite is written by our engineers. No vendored frameworks doing the heavy lifting; no GitHub forks running production.
No Twilio. No SendGrid. No external API in the call path. Voice, messaging, identity — all native to the platform.
Our base LLMs are open source, fine-tuned in-house on 2,000+ C-Suite interviews. No OpenAI, no Anthropic, no Google in the inference path.
Home-grown from public libraries. Whisper-derived STT, Kokoro / XTTS-derived TTS — both run on your hardware, dedicated VRAM per call.
Everything happens inside SARAH AI Suite. There is no minute counter, no token meter, no usage cap. Run it 24/7/365 at full intensity.
Every enterprise connector built from scratch. No Zapier, no Make, no n8n. Each integration owns its own auth, retry, and error handling.
Two AI brains running simultaneously on the same hardware — instantly, mid-conversation, with zero human intervention.
The Mind — reasoning, objection handling, 23 languages, EQ.
The Hands — books meetings, sends emails, updates CRM, processes payments.
SARAH AI Suite sits between your existing data sources and your business outcomes — turning calls, messages, and tools into autonomous executive work. Connects, learns, spins up, and orchestrates autonomously.
The Mind decides what to say. The Hands execute — instantly, mid-conversation, before the sentence ends.
From the moment your caller stops speaking to the moment SARAH AI Suite starts replying — every step measured, parallelised, and tuned for sub-second response. Three permanently-on engines (STT, LLM, TTS) sharing a single ring buffer. While SARAH AI Suite speaks on one channel, she's already listening on the other.
| Time | Pipeline Stage | What Happens |
|---|---|---|
| T+0 ms | Voice activity detection | Silero VAD on a continuous audio stream catches end-of-speech in real time. |
| T+30 ms | Streaming STT | WhisperLive transcribes incrementally. Final transcript already available before VAD confirms silence. |
| T+60 ms | Sentiment routing | Tone, frustration, urgency scored. Caller routed to 32B / 70B / 235B brain by emotion + extension. |
| T+80 ms | LLM dispatch | Prompt assembled with extension role, conversation memory, CRM history. Sent to dedicated 3 GB VRAM slot. |
| T+200 ms | Streaming TTS | First phrase enters the parallel synthesis pipeline before the LLM finishes thinking. |
| T+380 ms | Bridge phrase armed | 20 ms before silence threshold, SARAH AI Suite pre-arms her opening word — no dead air. |
| T+400 ms | First word out | Caller hears SARAH AI Suite speaking. Subsequent sentences continue streaming as she generates them. |
Not just a receptionist. An entire executive team — reception to legal — running on one box.
Answers every call in 23 languages. Qualifies leads. Books meetings. Never on hold. Never a day off.
Generates invoices, tracks expenses, categorises transactions, reconciles accounts. Real-time financial visibility without a bookkeeper.
Monitors KPIs across all departments. Generates board-ready reports. Identifies trends before humans notice them.
SARAH AI Suite writes her own code. Improves herself autonomously. Deploys updates with zero-downtime blue-green deployments.
Creates email campaigns, A/B-tests messaging, tracks ROI, manages LinkedIn outreach. Launches campaigns same-day, not next-month.
Screens candidates, schedules interviews, manages onboarding, tracks compliance certifications. Handles 10,000 applicants like 10.
Vendor management, supply chain tracking, process optimisation, workflow automation. Runs ops 24/7 without a coordinator.
Reviews contracts, flags compliance risks, generates NDAs and service agreements. First-pass legal review in seconds, not weeks.
Handles tickets, resolves issues, escalates intelligently. Remembers every customer interaction. Consistent at 3am and 3pm.
An AI-powered calling platform that uses your email address as your phone number. Browser → SIP + WebRTC. Everything rings simultaneously.
Make and receive calls from any browser. No app to download. No plugin to install. Phone, tablet, or laptop — just open and talk.
SARAH AI Suite never misses a call. She answers, qualifies, books meetings, takes messages, and routes calls. 24/7, in 23 languages.
Two callers, two languages, one conversation. Say "Interpreter required" mid-call or dial *9. Sub-2-second latency, zero per-minute fees.
Call anyone on their email address. No phone numbers. No SIM cards. No carrier contracts. Your email is your identity.
Connect to your traditional or hosted PBX. Browser and desk phone ring simultaneously — first to answer wins.
Listen, whisper, or barge into any live call. Train staff in real-time without the caller knowing.
Clone any voice from a 30-second sample. 52+ built-in voices. Your brand, your sound.
Every call recorded and stored on your hardware. Searchable transcripts. Compliance-ready.
Servers in multiple countries. Dial between offices with a prefix. One network, worldwide.
Works on any browser. Install as a PWA. No Apple or Google approval needed.
Train SARAH AI Suite on your website in one click. She reads every page and builds a searchable knowledge base.
SARAH AI Suite starts speaking in under 400ms. Parallel sentence synthesis means no awkward pauses — just natural conversation.
Drag-and-drop call flows. Build complex menus, conditional routing, and multi-language greetings without a config file.
Embed SARAH AI Suite on any website. Visitors chat in text; SARAH AI Suite handles it like a call. Same AI, same knowledge.
Three-tier KYC (Basic / Full / Enhanced). Nine automated identity checks. Tamper-evident audit log.
Mid-call, anyone says "Interpreter required" and SARAH AI Suite instantly activates real-time interpretation. Each person speaks their own language and hears the other in theirs. 23 languages, sub-2-second latency, zero per-minute fees.
SARAH AI Suite reads the emotional state of the caller in real time and routes to the right AI brain — before the conversation starts.
Who is calling? Extension range determines the AI model — unconditionally.
How are they feeling? SARAH AI Suite analyses sentiment in real time and matches model size to need.
Every other AI voice platform runs on shared, cached infrastructure. SARAH AI Suite allocates 3 GB of dedicated GPU VRAM per active conversation. The difference is not subtle.
Shared infrastructure. Cached responses.
3 GB dedicated VRAM per conversation.
Phone, WhatsApp, Telegram, email, website chat — SARAH AI Suite handles them all, with full history, transcripts, and AI summaries.
Every inbound and outbound call. Transcript attached, sentiment scored, summary written. Searchable forever.
SARAH AI Suite answers WhatsApp messages with the same intelligence as a phone call. Same knowledge base, same integrations.
Full Telegram integration. Customers message; SARAH AI Suite responds intelligently and logs everything to the inbox.
Embed on any page. Visitors chat in text; SARAH AI Suite handles it with the full knowledge base. No separate bot setup.
SARAH AI Suite reads, categorises, and responds to emails. Composes mid-call. Thread history preserved. CRM updated automatically.
Every conversation auto-summarised, sentiment-scored, and tagged. Never read a transcript again — read the summary.
SARAH AI Suite talks to every smart device you own — no app, no hub, no learning curve. Just speak. The same brain that runs your business runs your house.
"SARAH AI Suite, set the lounge to warm white at 40%." Turn on, off, dim, change colour. Done.
Adjust thermostats, set schedules, boost heating. SARAH AI Suite reads current temperature and adjusts to your preference.
Lock doors, arm or disarm alarms, check who's at the door. SARAH AI Suite can pull camera feeds into the PWA.
Play music, adjust volume, switch inputs. Spotify, Apple Music, and any DLNA device.
Open, close, or set to a percentage. Auto-schedule by sunrise / sunset.
"Good morning", "Cinema mode", "Away mode" — one phrase triggers multiple devices simultaneously.
Ask mid-call: "Am I wasting power?" SARAH AI Suite tells you which devices are on, current draw, daily usage.
SARAH AI Suite calls you when the washing finishes, the door is left open, or motion is detected at 2am.
While you sleep, SARAH AI Suite watches temperature, sensors, energy, and cameras. If something's wrong, she calls you.
SARAH AI Suite connects to your entire business stack — without custom development, middleware, or integration fees. Push and pull any information to and from any platform; she breathes life into it through her voice.
Most AI voice platforms charge $5,000–$50,000 per integration. SARAH AI Suite ships with all 309 built in — configured in 60 seconds through the admin portal.
SARAH AI Suite runs on the NVIDIA DGX Enterprise Platform, customised top-to-bottom by our engineers. Light Matter chips and switches reduce thermal load and lift sustained GPU performance. On-premise inside your building — or hosted on our own true Private Enterprise IP Network with physical Layer 2 connectivity from 10 GE up to 4 TB/E.
2,240 GB HBM3e VRAM across 8 GPUs. The dual-brain platform — purpose-built for sustained inference and concurrent agents at scale. Modified firmware + thermal stack.
768 GB VRAM, Blackwell architecture. Workstation-class deployment for the 235B Doer model on-device.
Full rack, 72 GPUs, 20 TB VRAM, 576 TB/s memory bandwidth. Powered by a 200 kW Electro-Magnetic Generator per Mini Data Centre.
Photonic-domain interconnect drops thermal load and lifts sustained throughput. Cooler GPUs, longer life, more concurrent agents per box.
Optional hosted deployment on our global Layer 2 network — physical fibre, 10 GE to 4 TB/E. No public internet hop in the inference path.
vLLM-only architecture, dispatch-routed across multiple GPU pools. ~9× concurrent throughput vs naive single-pool inference. Every line written in-house.
One SARAH AI agent costs 127× less than one US BDR — and works 5.8× more hours.
| Metric | US Human BDR | Offshore BDR | SARAH AI Suite AI Agent |
|---|---|---|---|
| Monthly cost per agent | $7,633 | $2,033 – $3,333 | ~$60 |
| Hours per day | 8 | 8 | 24 |
| Days per year | 250 | 250 | 365 |
| Productive hours/year | 1,500 | 1,500 | 8,760 |
| Languages | 1–2 | 1–2 | 23 |
| Ramp time | 2–4 weeks | 2–4 weeks | Instant |
| Sick days | ~8/year | ~8/year | Zero |
| Cost ratio vs SARAH AI Suite | 127:1 | 55–91:1 | 1:1 |
| Year | SARAH Enterprise | 200 Offshore BDRs | Savings |
|---|---|---|---|
| Year 1 | $1,000,000 | $6,480,000 | $5,480,000 |
| Year 2 | $1,000,000 | $6,804,000 | $5,804,000 |
| Year 3 | $1,000,000 | $7,144,200 | $6,144,200 |
| 3-Year Total | $3,000,000 | $20,428,200 | $17,428,200 saved |
Every SARAH AI Suite deployment is monitored, backed up, and maintained around the clock — so when the rest of your systems have a bad day, SARAH AI Suite doesn't.
The shared-infrastructure voice AI services vs the on-premise / Private Enterprise IP Network platform that does everything.
| Capability | Off-Prem Providers | SARAH AI Suite |
|---|---|---|
| Deployment | Vendor-hosted only | On-premise or Private Enterprise IP Network |
| Languages | English-centric | 23 languages, native fluency |
| Real-time phone interpreter | No | Mid-call, sub-2-second, *9 prefix |
| Emotional intelligence | Basic sentiment | Trained on 1,237 C-Suite interviews |
| Email composition | No | Composes + sends mid-call |
| Payment processing | No | Stripe + Xero invoicing, mid-conversation |
| Contract review | No | AI Legal department |
| Self-development | No | Autonomous coding + deployment |
| Meeting bot (Meet / Zoom / Teams) | No | Joins, transcribes, summarises, emails |
| 9 AI departments | Voice only | Reception through Legal |
| Data sovereignty | Vendor servers, multi-tenant | 100% on-premise or PEIPN |
| Recurring fees | Per-minute / per-agent / per-block | Zero — you own the hardware |
| Knowledge crawler | No | One-click website training |
| Bank-grade ID verification | No | 3-tier KYC, 9 automated checks |
| Streaming voice (sub-400ms) | No | Parallel sentence synthesis |
| Support team | Outsourced helpdesk | The Australian engineers who built SARAH AI Suite |
One platform, deep specialisation. Pre-trained workflows, regulatory awareness, and integrations for every sector that lives or dies on the phone.
KYC/AML mid-call, sanctions screening, SR 11-7 / OCC 2011-12 / GLBA aligned. Bank-grade ID with 9 automated checks. Examiner-ready audit trail.
HIPAA-compliant on-prem. 15 EHRs (Epic, Cerner, athenahealth, MEDITECH, eClinicalWorks), Zocdoc booking, RCM, government health (VistA, MHS Genesis).
7 PMSs (Opera, Mews, HotelKey, Cloudbeds, Agilysys), Marriott Bonvoy / IHG / Hilton loyalty, restaurant POS, and reservation systems.
9 GDSs (Amadeus, Sabre, Travelport, Abacus, TravelSky, Topas), 7 PSSs, full NDC + IATA ONE Order, cargo, and revenue management.
20 POSs (Toast, NCR, Lightspeed, Square, Clover), reservations (OpenTable, Resy, SevenRooms), delivery (DoorDash, Uber Eats, Deliveroo), KDS, loyalty.
VistA, MHS Genesis, Oracle Health VA/DoD, MD3. Network-segmented deployment, no public exposure, on-premise data sovereignty.
Shopify, WooCommerce, Amazon Business, eBay, Etsy, Alibaba. Mid-call orders, refunds, tracking. Loyalty + reviews integrations built in.
Up to 30,000 concurrent C-level agents per rack (10,000 voice, 1:1 contention). White-label deployment — your customers never know it's AI. Federation across countries.
Contract review, NDA generation, compliance flagging. First-pass review in seconds. Replaces $30K+/yr retainer.
Three pillars of compliance-grade voice AI — purpose-built so regulators can verify what your AI did, why it did it, and on whose authority.
SARAH AI Suite ships with the certifications and controls regulated industries demand. Healthcare, finance, government, telco — covered out of the box.
Buy once. Own forever. No recurring vendor fees. No per-minute or per-block charges. No surprises.
After Year 3, annual cost drops to maintenance only — and the hardware runs for 5–7+ more years.
You don't wait months. You don't hire a team. You plug in a box.
Not translation. Native fluency — nuance, slang, cultural context, and emotional intelligence in every language. SARAH AI Suite speaks 17 languages and writes 23 languages — together that's 5.4 billion of the global population.
SARAH AI Suite runs entirely on-premise. Your data never leaves your building.
Security & Availability
Information Security Management
Data Protection (EU)
Consumer Privacy (California)
Healthcare Data
Payment Data
| Layer | Standard |
|---|---|
| Data at rest | AES-256-GCM |
| Data in transit | TLS 1.3 |
| Backup encryption | AES-256-GCM (client key) |
| Authentication | OAuth 2.0 + rotated creds |
| SSH access | Ed25519 keys + MFA |
| Database | Transparent Data Encryption |
| Data | Location |
|---|---|
| Conversations | On-premise DGX (NVMe) |
| Call recordings | On-premise + Drive backup |
| Model weights | On-premise DGX (NVMe) |
| Backups | Google Drive (encrypted) |
| Credentials | On-premise vault + HSM |
| CRM / Calendar | Customer's own systems |
Every SARAH AI Suite deployment is fully managed by Native English Speaking Australian Engineers — the same team that designed the dual-brain architecture, trained the platform on 1,237 C-Suite interviews, and wrote every line of code.
If your hardware needs hands-on attention, an engineer is at your premises the same business day. No tier-1 triage. No remote-only fobbing off.
Hardware failure → next-business-day replacement on site. Spares pre-staged regionally so the courier window is the only delay.
Call any hour, any day. Direct line into the engineering team — not an outsourced helpdesk, not a ticket queue, not an IVR maze.
Australian engineers. Native English. The accent your customers speak. The dialect your contracts are written in. No translation layer.
The voice on the phone is the person who built the system. They know your deployment because they architected the platform that runs it.
We call you before something breaks. GPU temps, backup health, call quality, capacity ramp — every component checked every 10 minutes.
We call before it becomes an issue. Fix proactively, not reactively.
We investigate and resolve before you know. You get an email after it's fixed.
We diagnose, fix, send the report. You shouldn't have to think about infrastructure.
Critical patches deployed within 24 hours of disclosure. We confirm by email.
Scaling recommendations months in advance. No surprises.
Scheduled at your convenience. Blue-green deployment — zero downtime, zero risk.
Every SARAH AI Suite deployment is powered by a 200 kW Electro-Magnetic Generator per DGX GB300 Mini Data Centre — off-grid, self-sustaining, zero ongoing power costs. The DGX draws ~140 kW. That leaves 60 kW of headroom for Light Matter cooling, network gear, and growth.
In regulated industries, trust isn't optional. The real impact of AI infrastructure you can count on — measured against the human alternatives operators actually run today.
Four decades. Three industries. One thesis: productize the person. SARAH AI Suite is the engineering payoff of a career spent systemizing what other people consider unsystemizable.
Built the only ministerial-approved phone system in Australia for recording calls in the racing and sports betting industry — Federal and State level. Paired it with a private mobile network to overcome carrier congestion during major race days.
Adopted by Honeywell Australia across hospitals and stadiums. ~2,000 enterprise installations. Sold the business in 2015. Cricket: SACA committee.
Moved to America. Started a small call centre in Scottsdale; grew to 256 seats locally and over 3,000 agents across Colombia, Mexico, and El Salvador.
Peak engagement: 80 lenders, ~15,000 fully qualified leads for the federal PACE solar program (Florida + California), SBA loans, and merchant cash advance.
Head-hunted by POINTR (Finland) as CEO of their Australian arm; expanded into the US, Canada, and EU. Clients: European Space Agency, NASA, Mercedes-Benz, Toyota, Ford, John Deere, Saab + 10,000 others. First signed Australian client: Saab.
Lived split across New York, Montreux (Switzerland), and Sri Lanka — vetting call centres in person, never on video.
Spent 2½ years searching for engineers who could make a voice agent SIP-compatible — most "fell off the earth" the moment SIP trunking was mentioned. Eventually built the team that cracked on-premise enterprise voice AI.
Foundation corpus: 2,000+ recorded conversations with fractional CEOs, founders, and operators — every one transcribed, indexed, and now part of SARAH AI Suite's institutional memory.
"Productize the person." Fractional executives don't sell time — they sell a packaged subscription product. The client buys the product, not the calendar.
Chris extends the same logic to SARAH AI Suite itself: every fractional, every CEO, every interview becomes a queryable LLM that sounds like that human, not ChatGPT — an "AI version" of the person, available when the person isn't.
Shared-infrastructure AI is a timeshare. The next decade belongs to operators who own their compute, their data, and their voice. SARAH AI Suite is built for institutions that can't afford to leak — banks, hospitals, governments, telcos — and for families who want one AI under their own roof.
Target market: 5.6 million family-owned, privately-owned companies without boards — where decisions move at the speed of the founder, not the committee.
Founder, IDESKS ONLINE AI · Architect, SARAH AI Suite · Australian by adoption, global by appetite.
Chris Adams W. Ismail is not Australian-born. He arrived as a young adult, with the kind of resume that gets you into the country and not much else. What followed was forty years of methodical self-promotion through Australia's most regulated industry, into America's most demanding outbound markets, into Europe's tightest aerospace supply chains, and finally into the engineering trenches of on-premise enterprise voice AI. SARAH AI Suite is not the start of a career. It is the cumulative product of one.
His first ascent in Australia was through the racing and sports betting industry, where the operating tolerances for compliance, audit, and uptime are genuinely unforgiving. State racing authorities, federal regulators, and on-track stewards all share one assumption: every wager-related conversation has to be recorded, retrievable, and provably untampered. Chris built the only ministerial-approved phone system in Australia for recording calls in that industry — at both Federal and State level. He paired it with a private mobile network engineered specifically to overcome carrier congestion during major race carnivals, when public networks bend under the load and bookmakers cannot afford a dropped call. The platform was eventually adopted by Honeywell Australia, who held the maintenance contracts on hospitals and stadiums; the relationship that opened that door, Chris is the first to acknowledge, came through his late father-in-law, and remains a lesson he applies daily about how doors actually open at scale. Roughly two thousand enterprise installations later, he sat on the SACA cricket committee, the racing kit was a household tool inside its industry, and he sold the business in 2015.
He took a year. Then he moved to America and started, as he tells it, "a little call center for a friend of mine in Scottsdale." Thirty seats grew to two hundred and fifty-six, then expanded into Colombia, Mexico, and El Salvador until the network was running over three thousand agents across four countries. Peak engagement: eighty lenders, fifteen thousand fully-qualified leads for the federal PACE solar program in Florida and California, plus SBA loans and merchant cash advance. The thing that distinguishes this chapter from anyone else's call-centre buildout is the discipline he developed for vetting facilities. "I don't trust these video calls with the call centers," he tells anyone who asks. "I usually come, you know, if there's a call center in the Philippines or whatever, I just go there and stay there for a month and see where they drop the ball." That habit — physical presence, month-long stays, never trusting a video pitch — is now embedded in how SARAH AI Suite vets every partner.
The third chapter was POINTR, a Finnish technology company whose client roster reads like a tour through the world's most consequential engineering organisations: European Space Agency, NASA, Mercedes-Benz, Toyota, Ford, John Deere, Saab — and ten thousand others. Chris was head-hunted to run their Australian arm as CEO ("a one-man-band CEO," he laughs, "didn't even take a salary"), with Saab Australia as his first signed client. POINTR expanded his remit into the United States, Canada, and the European Union. During this period he split time between New York, Montreux in Switzerland, and Sri Lanka — vetting partner facilities, hosting summits, and quietly building the rolodex that would underpin the next chapter.
The voice-AI idea, in his telling, was born "two and a half years ago." He had been searching for engineers who could build a voice agent that was SIP-compatible — one that would sit behind the phone systems already on customer sites rather than demand a parallel cloud install. Every team he approached, he says, "fell off the earth" the moment SIP trunking entered the conversation. Eventually he found a former group that had only built outbound and pulled them back in to crack the on-premise enterprise problem. Before they wrote a line of production code, they did something almost no AI startup does: they recorded structured interviews with 1,237 C-Suite executives across twenty-three languages. Today the corpus has grown past two thousand recorded conversations with fractional CEOs, founders, hospitality directors, hospital administrators, and contact-centre leaders. Every one is transcribed, indexed, and queryable. SARAH AI Suite was reverse-engineered from how the best operators in the world actually run their day.
What ties the four chapters together is a single framework Chris repeats more than any other: productize the person. Fractional executives, in his system, do not sell time. They sell a packaged subscription product — a bounded, repeatable, paid-for outcome — and the client only ever talks about the product, not the calendar. He extends the same logic to SARAH AI Suite itself: every fractional, every CEO, every interview becomes a per-person LLM that sounds like that human, not ChatGPT. "It's almost like an AI version of a Mike Farrell," he tells colleagues. "Whenever we need help, I've got a Google Meet advisor. When Mike's not around, it goes to Mike's AI. It can respond to all of the questions in a way that Mike would actually answer."
His target market is deliberately the part of the economy most enterprise AI companies ignore: the 5.6 million family-owned, privately-held companies without boards, where decisions move at the speed of the founder rather than the committee. He does not want to spend years pitching procurement at a Fortune 500. He wants to spend forty-five minutes with a CEO who can sign on Friday. CEO-to-CEO conversations, he insists, are the only ones worth having, and he refuses to delegate enterprise outreach to appointment-setters. Either you are speaking peer to peer, or you are wasting both calendars.
And underneath all of it, the operating principle that drives the engineering: build the product whether the customer says yes or no. "I built this whole thing for Mercedes-Benz," he tells his team. "Whether they say yes or no, we have a product that is Mercedes-Benz ready." That is the bar. SARAH AI Suite is not designed to be enterprise-grade later, after a successful pilot. It is enterprise-grade by construction, on day one, because the founder does not know any other way to build.
Your AI receptionist, scheduler, and front-desk team — answering every call, qualifying every lead, booking every appointment, and following up every quote. 24 hours a day. 7 days a week. 365 days a year. The calls you used to miss after-hours are now revenue. The bookings that used to slip through Monday's voicemail are now in the calendar. The sales opportunities that vanished at 9pm on a Sunday are now closed. One box. Plug-and-play in four weeks. From $1,500 a month.
SARAH Spark 2 (from $1,500/month, or $40K outright) and SARAH Mini (from $10,000/month, or $200K outright) sit alongside Pro, Enterprise, and DC — same software, same Australian engineers, same 9 departments. Monthly bundles hardware + proactive maintenance over 36 months. The only thing that changes between SMB and Fortune 500 is the size of the box and the concurrent-agent count.
Dual NVIDIA DGX Spark · hosts 8B + 32B parameter engines · 2 concurrent calls. The smallest sovereign AI box that does the full job — same features as Mini, smaller engine. Plug it in the afternoon you sign. Own it outright for $40K.
Blackwell RTX 6000 PRO (6 GPU) workstation · hosts 8B + 32B + 72B parameter engines · 100 concurrent calls. Same features as Spark 2, with a 72B engine on board for richer reasoning. Own it outright for $200K.
The browser-based front end. Email-as-phone-number, SIP + WebRTC simultaneous ring, no app store. Included with every deployment.
The per-owner appliance. Owner / spouse / children identity hierarchy, smart-home control, calendar, and email — your AI, under your roof.
SARAH AI Suite sits between two parties — your SARAH AI Suite ↔ their SARAH AI Suite. Negotiates calendar, real-estate, vendor, and contract terms. Email-as-identifier.
SARAH AI Suite instances negotiate with each other across the world via signed Agent-to-Agent API. Your SARAH AI Suite talks to theirs; both stay sovereign to their owners.
The mid-market workhorse. 8× Blackwell RTX 6000 PRO, 200 concurrent agents. The natural upgrade when you outgrow Mini.
NVIDIA DGX B300 (8 GPUs), 1,000 concurrent agents, full 1T + 235B dual-brain. The flagship for when you cross the SMB threshold.
A clear definition, four reasons it matters, and how SARAH AI Suite is sovereign by construction.
A sovereign AI platform is one your organisation actually owns, controls, and runs — on your hardware, inside your perimeter, on a network you operate. Not rented from a vendor. Not multi-tenanted with strangers. Not subject to a vendor's outage, price hike, or change of ownership. The opposite — call it tenant AI — is what most enterprises are quietly buying today: conversations processed in shared data centres on shared GPUs, data potentially recycled into models your competitors will use tomorrow, inference routed through a third-party API whose terms can change with a press release. A "private" deployment that depends on the integrity of a vendor you don't audit is not sovereignty. It's a lease.
Why you should care comes down to four hard realities. (1) Regulators are tightening. GDPR, HIPAA, SR 11-7, OCC 2011-12, FDIC FIL-22-2017, GLBA — every one now expects you to know exactly where your data is, who can access it, and how the AI making customer-facing decisions actually works. A vendor SOC 2 letter is not the same as your own audit trail. (2) Vendor lock-in is the new IT debt. The companies most exposed to AI pricing in 2030 are the ones who outsourced inference in 2025. By the time ten thousand workflows depend on someone else's API, the bill is no longer up to you. (3) Competitive intelligence leaks. Every prompt you send to a third-party model is a signal, and signals at scale become a model. Your customer-conversation telemetry is a strategic asset; it should not leave your building. (4) Service continuity is yours, not theirs. When your AI vendor has an outage, your contact centre goes silent. When your AI vendor pivots, your roadmap pivots with them. Sovereign platforms fail on your terms, recover on your terms, and upgrade on your terms.
SARAH AI Suite is sovereign by construction, not by checkbox. Every model is open-source, fine-tuned in-house on 2,000+ C-Suite interviews, and runs on your hardware. Every voice is generated locally — no external speech provider in the path. Every one of the 309 connectors is hand-coded, with no Zapier or Make or n8n in the middle. Hosting is either on-premise inside your building or on our true Private Enterprise IP Network with physical Layer 2 connectivity (10 GE up to 4 TB/E). Your AI. Your data. Your decisions. Forever.
Every byte of inference, every voice, every connector — built from scratch and run inside your perimeter. The full agentic stack, end-to-end, with no third-party API hiding in the call path.
Every line of SARAH AI Suite is written by our engineers. No vendored frameworks doing the heavy lifting; no GitHub forks running production.
No Twilio. No SendGrid. No external API in the call path. Voice, messaging, identity — all native to the platform.
Our base LLMs are open source, fine-tuned in-house on 2,000+ C-Suite interviews. No OpenAI, no Anthropic, no Google in the inference path.
Home-grown from public libraries. Whisper-derived STT, Kokoro / XTTS-derived TTS — both run on your hardware, dedicated VRAM per call.
Everything happens inside SARAH AI Suite. There is no minute counter, no token meter, no usage cap. Run it 24/7/365 at full intensity.
Every enterprise connector built from scratch. No Zapier, no Make, no n8n. Each integration owns its own auth, retry, and error handling.
SARAH AI Suite sits between your existing data sources and your business outcomes — turning calls, messages, and tools into autonomous executive work. Connects, learns, spins up, and orchestrates autonomously.
The Orchestrator decides and dispatches. The Doer executes — instantly, mid-conversation, before the sentence ends.
From the moment your caller stops speaking to the moment SARAH AI Suite starts replying — every step measured, parallelised, and tuned for sub-second response. Three permanently-on engines (STT, LLM, TTS) sharing a single ring buffer. While SARAH AI Suite speaks on one channel, she's already listening on the other.
| Time | Pipeline Stage | What Happens |
|---|---|---|
| T+0 ms | Voice activity detection | Silero VAD on a continuous audio stream catches end-of-speech in real time. |
| T+30 ms | Streaming STT | WhisperLive transcribes incrementally. Final transcript already available before VAD confirms silence. |
| T+60 ms | Sentiment routing | Tone, frustration, urgency scored. Caller routed to 32B / 72B / 235B brain by emotion + extension. |
| T+80 ms | LLM dispatch | Prompt assembled with extension role, conversation memory, CRM history. Sent to dedicated 3 GB VRAM slot. |
| T+200 ms | Streaming TTS | First phrase enters the parallel synthesis pipeline before the LLM finishes thinking. |
| T+380 ms | Bridge phrase armed | 20 ms before silence threshold, SARAH AI Suite pre-arms her opening word — no dead air. |
| T+400 ms | First word out | Caller hears SARAH AI Suite speaking. Subsequent sentences continue streaming as she generates them. |
Not just a receptionist. The whole back-office team — front desk to legal review — running on one sovereign box, available the day you sign.
Answers every call. Qualifies leads. Books meetings. Never on hold, never a day off, never on lunch.
Generates invoices, chases payments, tracks expenses, reconciles your bank feed. Real-time profit visibility — no monthly catch-up sessions.
Tracks every KPI you actually care about — bookings, cash flow, repeat customers, conversion. Daily summary in your inbox. No spreadsheets.
Updates herself with zero-downtime deployments. Patches your tools. Watches your systems. Calls you before something breaks.
Writes email campaigns, posts to social, tracks ROI, manages your Google Business profile and LinkedIn. Same-day launches, not next-month.
Screens candidates, schedules interviews, manages onboarding, tracks compliance certs. Handles every applicant like the first one.
Vendor management, supply orders, scheduling, workflow automation. Runs the back-office 24/7 without an office manager on payroll.
Reviews contracts, flags risk clauses, generates NDAs and service agreements. First-pass legal in seconds — your lawyer only sees the hard stuff.
Handles tickets, resolves issues, escalates intelligently. Remembers every customer interaction. Consistent at 3am and 3pm.
An AI-powered calling platform that uses your email address as your phone number. Browser → SIP + WebRTC. Everything rings simultaneously.
Make and receive calls from any browser. No app to download. No plugin to install. Phone, tablet, or laptop — just open and talk.
SARAH AI Suite never misses a call. She answers, qualifies, books meetings, takes messages, and routes calls. 24/7, in 23 languages.
Two callers, two languages, one conversation. Say "Interpreter required" mid-call or dial *9. Sub-2-second latency, zero per-minute fees.
Call anyone on their email address. No phone numbers. No SIM cards. No carrier contracts. Your email is your identity.
Connect to your traditional or hosted PBX. Browser and desk phone ring simultaneously — first to answer wins.
Listen, whisper, or barge into any live call. Train staff in real-time without the caller knowing.
Clone any voice from a 30-second sample. 52+ built-in voices. Your brand, your sound.
Every call recorded and stored on your hardware. Searchable transcripts. Compliance-ready.
Servers in multiple countries. Dial between offices with a prefix. One network, worldwide.
Works on any browser. Install as a PWA. No Apple or Google approval needed.
Train SARAH AI Suite on your website in one click. She reads every page and builds a searchable knowledge base.
SARAH AI Suite starts speaking in under 400ms. Parallel sentence synthesis means no awkward pauses — just natural conversation.
Drag-and-drop call flows. Build complex menus, conditional routing, and multi-language greetings without a config file.
Embed SARAH AI Suite on any website. Visitors chat in text; SARAH AI Suite handles it like a call. Same AI, same knowledge.
Three-tier KYC (Basic / Full / Enhanced). Nine automated identity checks. Tamper-evident audit log.
Mid-call, anyone says "Interpreter required" and SARAH AI Suite instantly activates real-time interpretation. Each person speaks their own language and hears the other in theirs. 23 languages, sub-2-second latency, zero per-minute fees.
SARAH AI Suite reads the emotional state of the caller in real time and routes to the right AI brain — before the conversation starts.
Who is calling? Extension range determines the AI model — unconditionally.
How are they feeling? SARAH AI Suite analyses sentiment in real time and matches model size to need.
Every other AI voice platform runs on shared, cached infrastructure. SARAH AI Suite allocates 3 GB of dedicated GPU VRAM per active conversation. The difference is not subtle.
Shared infrastructure. Cached responses.
3 GB dedicated VRAM per conversation.
Phone, WhatsApp, Telegram, email, website chat — SARAH AI Suite handles them all, with full history, transcripts, and AI summaries.
Every inbound and outbound call. Transcript attached, sentiment scored, summary written. Searchable forever.
SARAH AI Suite answers WhatsApp messages with the same intelligence as a phone call. Same knowledge base, same integrations.
Full Telegram integration. Customers message; SARAH AI Suite responds intelligently and logs everything to the inbox.
Embed on any page. Visitors chat in text; SARAH AI Suite handles it with the full knowledge base. No separate bot setup.
SARAH AI Suite reads, categorises, and responds to emails. Composes mid-call. Thread history preserved. CRM updated automatically.
Every conversation auto-summarised, sentiment-scored, and tagged. Never read a transcript again — read the summary.
SARAH AI Suite talks to every smart device you own — no app, no hub, no learning curve. Just speak. The same brain that runs your business runs your house.
"SARAH AI Suite, set the lounge to warm white at 40%." Turn on, off, dim, change colour. Done.
Adjust thermostats, set schedules, boost heating. SARAH AI Suite reads current temperature and adjusts to your preference.
Lock doors, arm or disarm alarms, check who's at the door. SARAH AI Suite can pull camera feeds into the PWA.
Play music, adjust volume, switch inputs. Spotify, Apple Music, and any DLNA device.
Open, close, or set to a percentage. Auto-schedule by sunrise / sunset.
"Good morning", "Cinema mode", "Away mode" — one phrase triggers multiple devices simultaneously.
Ask mid-call: "Am I wasting power?" SARAH AI Suite tells you which devices are on, current draw, daily usage.
SARAH AI Suite calls you when the washing finishes, the door is left open, or motion is detected at 2am.
While you sleep, SARAH AI Suite watches temperature, sensors, energy, and cameras. If something's wrong, she calls you.
SARAH AI Suite connects to your entire business stack — without custom development, middleware, or integration fees. Push and pull any information to and from any platform; she breathes life into it through her voice.
Most AI voice platforms charge $5,000–$50,000 per integration. SARAH AI Suite ships with all 309 built in — configured in 60 seconds through the admin portal.
SARAH AI Suite runs on the NVIDIA DGX Enterprise Platform, customised top-to-bottom by our engineers. Light Matter chips and switches reduce thermal load and lift sustained GPU performance. On-premise inside your building — or hosted on our own true Private Enterprise IP Network with physical Layer 2 connectivity from 10 GE up to 4 TB/E.
Two paired DGX Spark units, GB10 silicon, hosts 8B + 32B parameter engines. 2 concurrent calls. Identical feature set to Mini — smaller engine, smaller footprint. From $1,500/month · or $40K outright.
Workstation-class with 6× RTX 6000 PRO Blackwell GPUs, hosts 8B + 32B + 72B parameter engines. 100 concurrent calls. Same features as Spark 2 plus the 72B engine for richer reasoning. From $10,000/month · or $200K outright.
Photonic-domain interconnect drops thermal load and lifts sustained throughput. Cooler GPUs, longer life, more concurrent agents per box — included on every tier.
Optional hosted deployment on our global Layer 2 network — physical fibre, 10 GE to 4 TB/E. No public internet hop in the inference path.
vLLM-only architecture; the same software runs on Spark 2 as on a 72-GPU rack. Every line written in-house — no borrowed code in the call path.
When you outgrow Mini: 8× Blackwell RTX 6000 PRO (Pro), NVIDIA DGX B300 (Enterprise), or NVIDIA DGX GB300 full rack with 200 kW EMG (DC). Same software, larger box.
One SARAH AI agent costs 127× less than one US BDR — and works 5.8× more hours.
| Metric | US Human BDR | Offshore BDR | SARAH AI Suite AI Agent |
|---|---|---|---|
| Monthly cost per agent | $7,633 | $2,033 – $3,333 | ~$60 |
| Hours per day | 8 | 8 | 24 |
| Days per year | 250 | 250 | 365 |
| Productive hours/year | 1,500 | 1,500 | 8,760 |
| Languages | 1–2 | 1–2 | 23 |
| Ramp time | 2–4 weeks | 2–4 weeks | Instant |
| Sick days | ~8/year | ~8/year | Zero |
| Cost ratio vs SARAH AI Suite | 127:1 | 55–91:1 | 1:1 |
| Year | SARAH Spark 2 | 2 receptionists + 1 SDR | Savings |
|---|---|---|---|
| Year 1 | $40,000 | $165,000 | $125,000 |
| Year 2 | $4,000 | $173,250 | $169,250 |
| Year 3 | $4,000 | $181,913 | $177,913 |
| 3-Year Total | $48,000 | $520,163 | $472,163 saved |
| Year | SARAH Mini | 5 front-office staff | Savings |
|---|---|---|---|
| Year 1 | $200,000 | $412,500 | $212,500 |
| Year 2 | $20,000 | $433,125 | $413,125 |
| Year 3 | $20,000 | $454,781 | $434,781 |
| 3-Year Total | $240,000 | $1,300,406 | $1,060,406 saved |
Every SARAH AI Suite deployment is monitored, backed up, and maintained around the clock — so when the rest of your systems have a bad day, SARAH AI Suite doesn't.
The shared-infrastructure voice AI services vs the on-premise / Private Enterprise IP Network platform that does everything.
| Capability | Off-Prem Providers | SARAH AI Suite |
|---|---|---|
| Deployment | Vendor-hosted only | On-premise or Private Enterprise IP Network |
| Languages | English-centric | 23 languages, native fluency |
| Real-time phone interpreter | No | Mid-call, sub-2-second, *9 prefix |
| Emotional intelligence | Basic sentiment | Trained on 1,237 C-Suite interviews |
| Email composition | No | Composes + sends mid-call |
| Payment processing | No | Stripe + Xero invoicing, mid-conversation |
| Contract review | No | AI Legal department |
| Self-development | No | Autonomous coding + deployment |
| Meeting bot (Meet / Zoom / Teams) | No | Joins, transcribes, summarises, emails |
| 9 AI departments | Voice only | Reception through Legal |
| Data sovereignty | Vendor servers, multi-tenant | 100% on-premise or PEIPN |
| Recurring fees | Per-minute / per-agent / per-block | Zero — you own the hardware |
| Knowledge crawler | No | One-click website training |
| Bank-grade ID verification | No | 3-tier KYC, 9 automated checks |
| Streaming voice (sub-400ms) | No | Parallel sentence synthesis |
| Support team | Outsourced helpdesk | The Australian engineers who built SARAH AI Suite |
One platform, deep specialisation. Pre-trained workflows, regulatory awareness, and integrations for every sector that lives or dies on the phone.
KYC/AML mid-call, sanctions screening, SR 11-7 / OCC 2011-12 / GLBA aligned. Bank-grade ID with 9 automated checks. Examiner-ready audit trail.
HIPAA-compliant on-prem. 15 EHRs (Epic, Cerner, athenahealth, MEDITECH, eClinicalWorks), Zocdoc booking, RCM, government health (VistA, MHS Genesis).
7 PMSs (Opera, Mews, HotelKey, Cloudbeds, Agilysys), Marriott Bonvoy / IHG / Hilton loyalty, restaurant POS, and reservation systems.
9 GDSs (Amadeus, Sabre, Travelport, Abacus, TravelSky, Topas), 7 PSSs, full NDC + IATA ONE Order, cargo, and revenue management.
20 POSs (Toast, NCR, Lightspeed, Square, Clover), reservations (OpenTable, Resy, SevenRooms), delivery (DoorDash, Uber Eats, Deliveroo), KDS, loyalty.
VistA, MHS Genesis, Oracle Health VA/DoD, MD3. Network-segmented deployment, no public exposure, on-premise data sovereignty.
Shopify, WooCommerce, Amazon Business, eBay, Etsy, Alibaba. Mid-call orders, refunds, tracking. Loyalty + reviews integrations built in.
Up to 30,000 concurrent C-level agents per rack (10,000 voice, 1:1 contention). White-label deployment — your customers never know it's AI. Federation across countries.
Contract review, NDA generation, compliance flagging. First-pass review in seconds. Replaces $30K+/yr retainer.
Three pillars of compliance-grade voice AI — purpose-built so regulators can verify what your AI did, why it did it, and on whose authority.
SARAH AI Suite ships with the certifications and controls regulated industries demand. Healthcare, finance, government, telco — covered out of the box.
Finance from $1,500/month, or buy the whole box for $40,000 and own it forever. Either way: no per-minute meter, no per-call charges, no surprise vendor invoices. The same engineering, the same Australian support, the same sovereign architecture as the Fortune 500 deployments — packaged for the businesses that actually run the economy.
Outgrowing SMB? SARAH Pro ($400K), Enterprise ($3M), and DC ($30M) are the upgrade path — same software, same support, larger box.
You don't wait months. You don't hire a team. You plug in a box.
Not translation. Native fluency — nuance, slang, cultural context, and emotional intelligence in every language. SARAH AI Suite speaks 17 languages and writes 23 languages — together that's 5.4 billion of the global population.
SARAH AI Suite runs entirely on-premise. Your data never leaves your building.
Security & Availability
Information Security Management
Data Protection (EU)
Consumer Privacy (California)
Healthcare Data
Payment Data
| Layer | Standard |
|---|---|
| Data at rest | AES-256-GCM |
| Data in transit | TLS 1.3 |
| Backup encryption | AES-256-GCM (client key) |
| Authentication | OAuth 2.0 + rotated creds |
| SSH access | Ed25519 keys + MFA |
| Database | Transparent Data Encryption |
| Data | Location |
|---|---|
| Conversations | On-premise DGX (NVMe) |
| Call recordings | On-premise + Drive backup |
| Model weights | On-premise DGX (NVMe) |
| Backups | Google Drive (encrypted) |
| Credentials | On-premise vault + HSM |
| CRM / Calendar | Customer's own systems |
Every SARAH AI Suite deployment is fully managed by Native English Speaking Australian Engineers — the same team that designed the dual-brain architecture, trained the platform on 1,237 C-Suite interviews, and wrote every line of code.
If your hardware needs hands-on attention, an engineer is at your premises the same business day. No tier-1 triage. No remote-only fobbing off.
Hardware failure → next-business-day replacement on site. Spares pre-staged regionally so the courier window is the only delay.
Call any hour, any day. Direct line into the engineering team — not an outsourced helpdesk, not a ticket queue, not an IVR maze.
Australian engineers. Native English. The accent your customers speak. The dialect your contracts are written in. No translation layer.
The voice on the phone is the person who built the system. They know your deployment because they architected the platform that runs it.
We call you before something breaks. GPU temps, backup health, call quality, capacity ramp — every component checked every 10 minutes.
We call before it becomes an issue. Fix proactively, not reactively.
We investigate and resolve before you know. You get an email after it's fixed.
We diagnose, fix, send the report. You shouldn't have to think about infrastructure.
Critical patches deployed within 24 hours of disclosure. We confirm by email.
Scaling recommendations months in advance. No surprises.
Scheduled at your convenience. Blue-green deployment — zero downtime, zero risk.
Four decades. Three industries. One thesis: productize the person. SARAH AI Suite is the engineering payoff of a career spent systemizing what other people consider unsystemizable.
Built the only ministerial-approved phone system in Australia for recording calls in the racing and sports betting industry — Federal and State level. Paired it with a private mobile network to overcome carrier congestion during major race days.
Adopted by Honeywell Australia across hospitals and stadiums. ~2,000 enterprise installations. Sold the business in 2015. Cricket: SACA committee.
Moved to America. Started a small call centre in Scottsdale; grew to 256 seats locally and over 3,000 agents across Colombia, Mexico, and El Salvador.
Peak engagement: 80 lenders, ~15,000 fully qualified leads for the federal PACE solar program (Florida + California), SBA loans, and merchant cash advance.
Head-hunted by POINTR (Finland) as CEO of their Australian arm; expanded into the US, Canada, and EU. Clients: European Space Agency, NASA, Mercedes-Benz, Toyota, Ford, John Deere, Saab + 10,000 others. First signed Australian client: Saab.
Lived split across New York, Montreux (Switzerland), and Sri Lanka — vetting call centres in person, never on video.
Spent 2½ years searching for engineers who could make a voice agent SIP-compatible — most "fell off the earth" the moment SIP trunking was mentioned. Eventually built the team that cracked on-premise enterprise voice AI.
Foundation corpus: 2,000+ recorded conversations with fractional CEOs, founders, and operators — every one transcribed, indexed, and now part of SARAH AI Suite's institutional memory.
"Productize the person." Fractional executives don't sell time — they sell a packaged subscription product. The client buys the product, not the calendar.
Chris extends the same logic to SARAH AI Suite itself: every fractional, every CEO, every interview becomes a queryable LLM that sounds like that human, not ChatGPT — an "AI version" of the person, available when the person isn't.
Shared-infrastructure AI is a timeshare. The next decade belongs to operators who own their compute, their data, and their voice. SARAH AI Suite is built for institutions that can't afford to leak — banks, hospitals, governments, telcos — and for families who want one AI under their own roof.
Target market: 5.6 million family-owned, privately-owned companies without boards — where decisions move at the speed of the founder, not the committee.
Founder, IDESKS ONLINE AI · Architect, SARAH AI Suite · Australian by adoption, global by appetite.
Chris Adams W. Ismail is not Australian-born. He arrived as a young adult, with the kind of resume that gets you into the country and not much else. What followed was forty years of methodical self-promotion through Australia's most regulated industry, into America's most demanding outbound markets, into Europe's tightest aerospace supply chains, and finally into the engineering trenches of on-premise enterprise voice AI. SARAH AI Suite is not the start of a career. It is the cumulative product of one.
His first ascent in Australia was through the racing and sports betting industry, where the operating tolerances for compliance, audit, and uptime are genuinely unforgiving. State racing authorities, federal regulators, and on-track stewards all share one assumption: every wager-related conversation has to be recorded, retrievable, and provably untampered. Chris built the only ministerial-approved phone system in Australia for recording calls in that industry — at both Federal and State level. He paired it with a private mobile network engineered specifically to overcome carrier congestion during major race carnivals, when public networks bend under the load and bookmakers cannot afford a dropped call. The platform was eventually adopted by Honeywell Australia, who held the maintenance contracts on hospitals and stadiums; the relationship that opened that door, Chris is the first to acknowledge, came through his late father-in-law, and remains a lesson he applies daily about how doors actually open at scale. Roughly two thousand enterprise installations later, he sat on the SACA cricket committee, the racing kit was a household tool inside its industry, and he sold the business in 2015.
He took a year. Then he moved to America and started, as he tells it, "a little call center for a friend of mine in Scottsdale." Thirty seats grew to two hundred and fifty-six, then expanded into Colombia, Mexico, and El Salvador until the network was running over three thousand agents across four countries. Peak engagement: eighty lenders, fifteen thousand fully-qualified leads for the federal PACE solar program in Florida and California, plus SBA loans and merchant cash advance. The thing that distinguishes this chapter from anyone else's call-centre buildout is the discipline he developed for vetting facilities. "I don't trust these video calls with the call centers," he tells anyone who asks. "I usually come, you know, if there's a call center in the Philippines or whatever, I just go there and stay there for a month and see where they drop the ball." That habit — physical presence, month-long stays, never trusting a video pitch — is now embedded in how SARAH AI Suite vets every partner.
The third chapter was POINTR, a Finnish technology company whose client roster reads like a tour through the world's most consequential engineering organisations: European Space Agency, NASA, Mercedes-Benz, Toyota, Ford, John Deere, Saab — and ten thousand others. Chris was head-hunted to run their Australian arm as CEO ("a one-man-band CEO," he laughs, "didn't even take a salary"), with Saab Australia as his first signed client. POINTR expanded his remit into the United States, Canada, and the European Union. During this period he split time between New York, Montreux in Switzerland, and Sri Lanka — vetting partner facilities, hosting summits, and quietly building the rolodex that would underpin the next chapter.
The voice-AI idea, in his telling, was born "two and a half years ago." He had been searching for engineers who could build a voice agent that was SIP-compatible — one that would sit behind the phone systems already on customer sites rather than demand a parallel cloud install. Every team he approached, he says, "fell off the earth" the moment SIP trunking entered the conversation. Eventually he found a former group that had only built outbound and pulled them back in to crack the on-premise enterprise problem. Before they wrote a line of production code, they did something almost no AI startup does: they recorded structured interviews with 1,237 C-Suite executives across twenty-three languages. Today the corpus has grown past two thousand recorded conversations with fractional CEOs, founders, hospitality directors, hospital administrators, and contact-centre leaders. Every one is transcribed, indexed, and queryable. SARAH AI Suite was reverse-engineered from how the best operators in the world actually run their day.
What ties the four chapters together is a single framework Chris repeats more than any other: productize the person. Fractional executives, in his system, do not sell time. They sell a packaged subscription product — a bounded, repeatable, paid-for outcome — and the client only ever talks about the product, not the calendar. He extends the same logic to SARAH AI Suite itself: every fractional, every CEO, every interview becomes a per-person LLM that sounds like that human, not ChatGPT. "It's almost like an AI version of a Mike Farrell," he tells colleagues. "Whenever we need help, I've got a Google Meet advisor. When Mike's not around, it goes to Mike's AI. It can respond to all of the questions in a way that Mike would actually answer."
His target market is deliberately the part of the economy most enterprise AI companies ignore: the 5.6 million family-owned, privately-held companies without boards, where decisions move at the speed of the founder rather than the committee. He does not want to spend years pitching procurement at a Fortune 500. He wants to spend forty-five minutes with a CEO who can sign on Friday. CEO-to-CEO conversations, he insists, are the only ones worth having, and he refuses to delegate enterprise outreach to appointment-setters. Either you are speaking peer to peer, or you are wasting both calendars.
And underneath all of it, the operating principle that drives the engineering: build the product whether the customer says yes or no. "I built this whole thing for Mercedes-Benz," he tells his team. "Whether they say yes or no, we have a product that is Mercedes-Benz ready." That is the bar. SARAH AI Suite is not designed to be enterprise-grade later, after a successful pilot. It is enterprise-grade by construction, on day one, because the founder does not know any other way to build.
Mike supplies four decades of US enterprise tech-sales, M&A, and PE-exit credibility. Chris supplies the convening engine, the productization framework, and the engineering build. Both refuse to do business the way the rest of the industry does.