Treating accuracy as an engineering problem.
One wrong AI answer can cost a patient’s life, a bank millions, or a company its licence. We build systems that ground every claim in a verifiable source — and that say so when the sources don’t support an answer.
Intelligence designed, not trained.
The industry chased scale: bigger models, more data, more compute, and called the confident mistakes that came with it “hallucinations,” as if they were unavoidable.
We disagreed. We believe accuracy is an engineering problem, not a rounding error. So instead of teaching a model what to say, we taught it how to think, and instead of sending your data to a frontier model, we bring a small, private expert to your desk.
We won’t tell you a language model can be made incapable of error, because no one can honestly say that. What we will say is that an answer tied to a citation you can open is a fundamentally different object from one you simply have to believe.
The result is AI you can actually put in front of a regulator, a judge, or a doctor.
Our promise
“A foundation model is a library. Vexoo is the room where a private expert sits at your desk, one who knows only your files, speaks your language, and answers only to you.”
Four convictions, baked into the product.
Prevention, not patchwork
Most systems let the model improvise and bolt a guardrail on afterwards. We build reasoning into the architecture and ground it in your sources, so there is far less left to guess at.
Sovereign by design
On-premise, in your VPC, or fully air-gapped. Zero external API calls. Your most sensitive documents never leave your perimeter, that’s architecture, not a policy.
Small models, big answers
1–3B parameter models that match or beat 70B+ systems on the work that matters, at roughly 40% the compute, on a single GPU.
Every answer, traceable
Each response is grounded in the exact clause, page and paragraph it came from — so a reviewer can verify it rather than take it on trust. Audit-ready by construction.
Built in India. Sovereign by design.
How we engage
Prove it on your data, then scale.
01
Scoped PoC
A focused pilot on two or three of your live document sets, typically 2–6 weeks to first value.
02
Assess
Your auditors grade the output against ground truth. If it doesn’t hold up, you walk away.
03
Deploy & scale
Roll out across teams and use cases, on-premise, in your VPC, or fully air-gapped.