First, a truth

With cloud AI, every prompt leaves the building.

The moment your team types a question into a cloud-hosted assistant, your thinking becomes traffic — routed to a data centre you don't own, on terms you didn't write.

Of your thinking, outside your walls
Billed while you read this

And it isn't free

Somebody else's meter is running.

Every answer carries a usage charge. Every fine-tune can expose valuable intellectual property. It is the only bill in your company that goes up when your people get better at their jobs.

Of your thinking, outside your walls
Billed while you read this

Then, a line

So we drew a perimeter.

One rule, and everything else follows from it: the model comes to the data. The data never goes to the model.

Of your thinking, outside your walls
Billed while you read this

And when we were done

Sovereign AI. On a CPU.

120Billion parameters, in the class we ship
0GPUs required. Not one.
0Bytes leaving your infrastructure

Read the technology

So we did the only responsible thing.
We unplugged it.

The unplug test

The question every security lead asks.

It arrives about forty minutes in, usually from the quietest person in the room: what happens if I pull the cable?

So ask us to pull it during your demonstration. The conversation carries on. That is the whole product, in one gesture.

LIVE DEMO SEQUENCE 00:40:00
Network
Connected
Local inference
Running
External calls
None requested

Illustrative sequence. Ask us to perform the physical test during your demonstration.

Technology built. Deployed now.

Eight organisations already run Superchat where their data lives.

The breakthrough is no longer a laboratory claim. It is working across banking, healthcare, aerospace, retail, genomics, IT and education.

A US Retail GiantFleet vision & incident analytics
A Global Investment BankIncident monitoring & risk
A US Aerospace Leader3D digital twin, predictive maintenance
A GCC Healthcare GroupHospital management platform
An AI Genomics PlatformPreventive-health inference
A Regional Political PartyHighest-margin electoral win
An IT Services Firm40%+ productivity lift
A K-12 InstitutionAdaptive-pace teacher agent

Eight live deployments. Names are under NDA and available on request.

Three commercial engines. One architecture.

One intelligence architecture. Data centre → PC → device → robot.

Superchat moves the same local intelligence from enterprise compute to the point of action. The products stop being separate experiments; they become three commercial expressions of one architecture.

Your data

It never leaves.

Your prompts, your documents, your source code, your customers' records — all of it stays inside the perimeter. Not encrypted in transit to someone else. Not in transit at all.

Your infrastructure

The GPU estate disappears.

Private AI no longer begins with specialised accelerators, a new facility and the power and cooling to sustain both. It begins with processors your organisation can already operate.

Your continuity

It keeps working.

Once a day, a licence check confirms your licence and AMC status. That is the only call we make, it carries nothing of yours, and no answer ever waits on it. Beyond that there is no model quietly deprecated from under you and no kill switch on your floor.

Your architecture

One architecture. Three destinations.

Organisation, device or machine. The intelligence moves to where the data, the decision and the work already are.

The commercial consequence

Do not build an AI data centre.

Use the compute estate you already know how to buy, secure and operate. Superchat turns private AI from an infrastructure programme into a software deployment.

For every deployment, we size the CPU architecture against the GPU alternative across hardware, power, cooling, implementation, support and three-year total cost of ownership.

Size Superchat against your stack

Genie · Enterprise Intelligence

Genie.

Turn existing enterprise compute into private AI infrastructure. Air-gapped. CPU-first. Data stays inside.

Deploy it

On-premise or private cloud

Air-gapped hardware in your rack, or a single-tenant instance inside your cloud account.

Deployment options

Work with it

Teams, knowledge and code

Private assistants and agents that can read internal knowledge and source without exporting either.

Enterprise applications

Embed it

Voice and customer experience

Local speech, reasoning and customer assistance embedded into the systems people already use.

Embedded intelligence

Explore Genie

Try it yourself

Ask it something. Right now.

No form, no sales call, no trial key. This is a live Genie deployment — open it and judge the experience for yourself.

Ask Genie anything… Open the demo
  • “Summarise this contract clause in plain English.”
  • “Write a Python script that de-duplicates a CSV.”
  • “What would you ask a vendor about data residency?”

The demo is hosted by us so you can try it in one click — it is the only Genie that runs on our hardware rather than yours. Every deployment we sell runs inside your own perimeter, which is rather the point.

Edge · Embedded Intelligence

Edge intelligence lives inside the system.

Genie and Orb capabilities embed into devices, browsers, enterprise systems, vehicles and equipment — close to the decision, even when the network is absent.

Text, voice and vision stay local. The product gains intelligence without becoming a thin client for somebody else's data centre.

See where it runs

Once intelligence no longer depends on a data centre,
it can live inside a machine.

Swayam · Physical Intelligence

Swayam.

In development · started April 2026

Take the same local intelligence architecture into machines. Swayam reasons, sees and acts inside robots and autonomous systems. Every balance decision, every step and every route is computed on the machine itself. No cloud. No teleoperation.

See the programmes

Editorial prototype rendering of the Swayam humanoid biped and its exposed mechanical joints.
It walks.

Humanoid Bipedal

Early prototype

It roams.

Quadruped Robots

Mechanical design in progress

It flies.

AURA Dual-Drone

Live prototype flying

Where it has to work

Sovereignty stops being an abstraction somewhere around 3 a.m.

Three rooms. In every one of them, the reason to keep the data inside the building has a face.

Editorial illustration of a clinician and nurse reviewing information at a hospital workstation during the night.

03:04 · Intensive care

A patient's record cannot leave this building. Neither can the AI reading it.

Hospital notes are the most personal data an institution will ever hold. Genie reads them, summarises them and answers questions about them without a single byte crossing the hospital boundary.

Live · A GCC healthcare group

Editorial illustration of two risk analysts working at a private in-house incident desk at night.

09:41 · Incident desk

When the incident is the confidential part.

A bank cannot describe a live risk event to a third-party model in order to understand it. The monitoring, the correlation and the reasoning all run on the bank's own machines.

Live · A global investment bank

Editorial illustration of two aerospace engineers comparing a local workstation with an unfinished airframe on the assembly floor.

14:20 · Assembly floor

The digital twin is the company.

Twenty years of geometry, tolerances and failure history in one model. Predictive maintenance is worth a great deal — and worth nothing if the price of it is uploading the design.

Live · A US aerospace leader

Superchat Research · Kochi

The breakthrough is built. The advantage keeps compounding.

CPU-native inference, conditional computation and speculative decoding are already in production. The research programme now makes that deployed advantage faster, smaller and harder to reproduce.

The same work extends local intelligence from the enterprise into devices and embodied control — without changing the rule that the data and the decision stay at the point of action.

See the research lines compounding the moat

The origin

One founder. One investor. One conviction.

The advice was consistent. You need a data centre. You need eight figures. You need to be in California.

Our founder had a room, one backer, and a stubborn suspicion that everybody had confused how it was being done with how it had to be done. Two decades of shipping first-in-the-world AI stood behind that suspicion — enterprise AI, industrial automation, aerospace robotics — and twelve months later the fourth attempt was the one that ran.

That first chapter answered whether it could be built. The answer was yes. The next chapter is scaling that architecture through three commercial engines: Enterprise Intelligence, Embedded Intelligence and Physical Intelligence.

Forbes Tech Council · 2024 2 US patents · 7 filed Employer top award ×2 1,200+ engineers led

Meet the team building the next chapter

The future of AI isn't somewhere in the cloud. It's wherever it's needed.

You will not need to trust us on any of this. Ask for the box. Pull the cable.

Try Genie