SOVEREIGN AND ENTERPRISE AI
Your national AI, built right.
An end-to-end AI stack for your government: built with your institutions, controlled by your government, and correct in your languages.
Published scienceLocal ownershipNo vendor lock
THE PROBLEM
AI speaks English well. Your language, poorly.
Most of your citizens do not work in English.
They deserve AI that gets their language right.
Wrong grammar and tone
Official documents come out sounding informal, or simply wrong.
Citizens left out
People who do not use English cannot use today's AI.
More data will not fix it
The flaw is in how AI is built. It needs a correction layer.
2,400+ languages already carry structural profiles. Any national language can move from baseline to production quality in about three months.
HOW IT FITS TOGETHER
From the world’s models to your national LLM.
The sources
- Global frontier models
- National or regional models
- Your own records and open datasets
The knowledge
- World knowledge and reasoning
- Regional knowledge
- Your data, culture and literature
The fix
- Mātr accuracy layer
- Grammatically and structurally correct in your language
What it solves
- Western-centric bias
- Too little data in your language
- Wrong interpretation
- High compute and budget cost
The result
- Your national LLM
- Data-rich. Structurally accurate. Truly inclusive.
The parts, in plain terms.
The only layer of its kind
Language accuracy layer
What it does
Corrects and checks every answer
Who provides it
Mātr, under licence to you
Base AI models
What it does
The raw intelligence
Who provides it
Global and regional providers.Ready today
Computing hardware
What it does
Where everything runs
Who provides it
Your data centre, with hardware vendors
Knowledge system
What it does
Answers from your records, with sources shown
Who provides it
Mātr with your records.Working today
Access and records
What it does
Right people see right files. Everything logged.
Who provides it
Mātr.Working today
The language record
What it does
The deep language knowledge behind it all
Who provides it
Built together: your linguists and the Mātr platform
| Component | What it does | Who provides it |
|---|---|---|
The only layer of its kind Language accuracy layer | Corrects and checks every answer | Mātr, under licence to you |
Base AI models | The raw intelligence | Global and regional providers.Ready today |
Computing hardware | Where everything runs | Your data centre, with hardware vendors |
Knowledge system | Answers from your records, with sources shown | Mātr with your records.Working today |
Access and records | Right people see right files. Everything logged. | Mātr.Working today |
The language record | The deep language knowledge behind it all | Built together: your linguists and the Mātr platform |
Ownership, plainly: the system built through this programme belongs to you. The Mātr layer inside it is licensed to your government.
THE STANDARD
Set the benchmark, do not just buy the software.
Today there is no accepted way to prove that an AI system is correct in a given language. Existing scores measure whether output resembles a reference translation. None of them can say that an answer breaks the rules of the language it is written in.
Mātr identifies the violation before it corrects it, which means the same system can be used to measure any model your government procures. Your institutions define the standard, publish it, and hold every future vendor to it.
Define it
Your linguists and universities set what correct means in your languages, inside the framework.
Measure it
Every model you procure can be scored against that standard before it is deployed.
Publish it
The benchmark is published in your government's name and cited by others who follow.
The guarantees.
Stays in country
Everything runs on your infrastructure. Nothing goes abroad.
Total privacy
No data collection. Ever.
Works without internet
Runs inside closed government networks.
Change models anytime
Never locked to one AI company.
Everything on record
Every action logged and reviewable.
You keep everything
If we ever step away, the system keeps running and all data and records stay with you.
First services live within six months.
The systems exist today. This is assembly, not invention.
Months 1 to 3
1. Set up
The Centre of Excellence established. Systems installed on your infrastructure. University partners signed.
Months 4 to 6
2. Go live
First services running in your language. Public demonstration.
Months 7 to 9
3. Prove
Tested in real offices, beside staff. Results reported to your government.
Months 10 onward
4. Expand
Rolled out across departments. The Centre opens its doors.
Payment follows results at every step.
CAPABILITY THAT STAYS
Built with your linguists, not imported over them.
The structural profiles for your languages are built inside the framework by people who speak them. We establish a Centre of Excellence with your universities, employ and credit your linguists, and leave that capability in country. The profiles keep deepening after we finish, and your institutions hold the expertise rather than renting it.
Delivered, not theoretical.
We have built multilingual citizen service assistants with live speech interfaces across national language sets, and improved locally fine tuned government models using their own capabilities rather than replacing them with a foreign system. Reference conversations are available under NDA.
A service that is fluent and wrong fails quietly.
A citizen reads an answer in their own language, in correct grammar, and trusts it. Or they read something that is almost right, and they cannot tell which part to doubt. When a nation adopts AI in its own languages, on its own terms, those languages do not fade in the AI era. They become infrastructure.
Be first. Build the legacy.
Your national LLM, the sovereign stack behind it, and a Centre of Excellence others will come to study.