Rafay sells a Kubernetes-based control plane that turns rented GPUs into a token-metered cloud, and positions the open-source OpenClaw agent as the demand driver it monetises. SARAH AI Suite is the opposite shape — a fully integrated agentic-AI appliance running on NVIDIA DGX GB300 in our own Mini Data Centre, delivered over a Global Private Enterprise IP Network, with off-grid power as primary and the public grid demoted to redundancy. Different category. Different defensibility.
Headline numbers from Schedule 1 of the Hyperscale White-Label Partner Agreement. Every figure is a specification, not a marketing claim.
Rafay is a control plane that runs on top of someone else's infrastructure. OpenClaw is an open-source agent loop. Useful tools — but neither addresses what an enterprise actually needs to run mission-critical conversational AI in production.
Our Mini Data Centre runs on Magnetic Generators primary, Microsonic Generators secondary, Battery Backup tertiary. The public grid is a redundant fallback only. Rafay runs on whatever power the customer happens to have.
10GE–400GE private fibre from client site to our Mini Data Centre. One dedicated VLAN per customer. Zero public-internet hop. Rafay rides over whatever network the customer brings.
We host the NVIDIA DGX GB300 platform with Lightmatter Passage™ L20 photonic interconnect, dedicated to one customer — no shared scheduler, no noisy neighbour, no rented-pool surprises. Rafay orchestrates whatever GPUs the customer rents.
Dual-brain LLM, voice AI in 17 languages, full SIP PBX with WebRTC, 9 AI departments and 34,792,085 Live Enterprise Features, Connectors & APIs are in the box. Rafay sells the pipes; OpenClaw is a loop on top. Customers still have to assemble the rest.
One is a control plane sold to organisations who run AI infrastructure. The other is the AI infrastructure, sold to the organisations who consume it.
Each row reflects what is in the product today, not a roadmap. Sources are listed at the bottom of this document.
| Dimension | Rafay + OpenClaw | SARAH AI Suite |
|---|---|---|
| Where does it run? | Whatever GPUs the customer rents on a public cloud, a neocloud, or in their own colo. | Our own Mini Data Centre on NVIDIA DGX GB300 with Lightmatter Passage™ L20 photonic interconnect. |
| Power | Public grid. Customer-supplied UPS at best. No independent generation. | Off-grid: Magnetic Generators + Microsonic Generators + Battery Backup; public grid is the redundant fallback, not the primary. |
| Network | Customer's network, with public-internet egress for every inference API call. | Global Private Enterprise IP Network — 10GE–400GE private fibre to client site, one VLAN per customer, zero public-internet hop. |
| Tenancy | Multi-tenant control plane across every customer; the GPU pool is typically shared too. | Dedicated sovereign appliance per customer — no shared inference pool, no shared scheduler, no contention. |
| Reasoning model | Bring your own. Rafay does not ship a proprietary model. | 1-trillion-parameter Deep Thinker (MoE) + 235 B Doer, both running in parallel on the same hardware. |
| Voice AI | Out of scope. Token Factory exposes an inference API only. | Full voice AI: 17 voice languages, sub-400 ms first-word latency, mid-conversation language switching, voice cloning from a 30-second sample. |
| Telephony / PBX | Not included. Customer integrates Twilio, 8x8 or Genesys separately. | Full SIP PBX with WebRTC, 9 AI departments, 36 permission controls per extension, real-time interpreter on *9. |
| Enterprise integrations | None natively. Platform integrates with NVIDIA NIM and OpenAI-compatible clients. | 34,792,085 Live Enterprise Features, Connectors & APIs built from scratch — API endpoints included across CRM, ERP, PMS, GDS, HR, Healthcare, Aviation, Accounting, Payments, IoT. |
| Agentic loop | Open-source OpenClaw is positioned as a third-party demand driver. Rafay does not own it. | Agentic execution is part of the platform — the Doer calls tools, runs CRM updates, processes payments and sends invoices mid-conversation. |
| Audio path | Audio leaves the customer's premises over the public internet to reach the inference API. | Audio never leaves the private fibre. Only signed text traverses the Global Private Enterprise IP Network. |
| Onboarding | Customer-led. Rafay provides reference architectures; partner integrators do the build. | 6-week turnkey onboarding by the Australian engineering team that built the Suite — hardware, photonic commissioning, 30,000-agent load test, voice cloning, UAT, cutover. |
| SLA & response | Standard support 8AM–8PM EST; 24/7 enterprise tier is an additional 20% surcharge. | 99.95% uptime, < 15 min RTO, < 10 min RPO, every-10-minute backups, 394+ restore points, P1 response in 15 minutes, 24/7 by the engineers who built it. |
| Concurrent capacity | Whatever the customer's rented GPU pool holds; scales by buying more rented GPUs. | 30,000 concurrent voice AI agents on a single Hyperscale appliance, made possible by photonic acceleration. |
| Pricing model | Platform fee plus per-GPU, per-CPU or per-node consumption. Sales-led, no public tiers. | One-time Capex with locked retail. Zero per-token, per-call, per-seat or per-minute fees. Ten percent annual maintenance from year two. |
| Compliance posture | SOC-compliant control plane. Underlying GPU compliance is the cloud provider's responsibility. | Single-stack audit trail. Designed in conformance with SOC 2 Type II, ISO 27001, GDPR, CCPA, HIPAA, PCI DSS. |
| Brand control | Rafay is the platform brand the customer's developers interact with. | Full white-label. Partner brand only — SARAH, iDesks, SGA, NVIDIA and Lightmatter are never disclosed to End Customers. |
Every other "sovereign AI" vendor in the market depends on the public power grid for its primary feed. We inverted that assumption. Four independent power layers — with the public grid demoted to last-resort redundancy.
200 kW per Mini Data Centre. Runs continuously, independent of any grid event, fuel supply or weather front.
Acoustic-resonance generation. Engages automatically if the magnetic feed is taken offline for maintenance.
Sized to ride out any conceivable transient on both generation layers. The appliance never sees the event.
The mains feed is the last fallback, not the first. If everything else fails, the grid is still there. If the grid fails, everything else still runs.
30 minutes with Chris Ismail and the Australian engineering team that built the SARAH AI Suite. We walk through the Mini Data Centre topology, the Global Private Enterprise IP Network design and the Hyperscale Appliance commercial structure — end-to-end, no slideware.
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