The AI that thinks and verifies before it speaks.
Vexoo builds hallucination-resistant, sovereign AI that reasons over the documents and data you already own, on-premise, air-gapped, and built for industries where a wrong answer is not an option.
SRA · MARLIN
Does our V-CIP onboarding SOP meet the latest RBI KYC master direction?
No. The SOP is silent on three mandatory controls and references a superseded circular. Identified gaps:
- Live-photo geo-tagging requirement absent
- No audit trail for the concurrent auditor review
- Cites the 2016 circular, superseded in 2023
Grounded in
Trusted where being wrong is not an option
From two state police forces to a European chemical-technology group, across banking, government, insurance, industry and media.
Forge
Enterprise AI coding assistant
Your code never leaves your infrastructure.
Public AI coding tools route your source through someone else’s cloud and lock you to one vendor’s model. Forge does neither — private by default, model-flexible, and governed like the rest of your stack.
Private by default
Code and prompts stay on your infrastructure unless you explicitly enable otherwise.
Model-flexible
Cloud, private cloud or fully on-prem. Bring your own model, swap it whenever.
Cost control
Route cheap tasks to cheap models. Stop paying frontier rates for boilerplate.
Enterprise-ready
SSO/SAML, RBAC and audit trails from day one, not a later tier.
Why you can always trust Vexoo.
Everything an answer needs to be checked, not just believed.
Hallucination-resistant by architecture
No one can promise a language model will never be wrong. What we can do is make being wrong far harder and far easier to catch — reasoning built into the model, answers grounded in your sources, and an abstention when the evidence isn’t there.
Sovereign by design
On-premise, in your VPC, or fully air-gapped. Zero external API calls, your data never leaves the perimeter.
Grounded in your sources
Every answer traces back to the exact clause, page and paragraph, so a reviewer can verify it rather than take it on trust.
Reasoning, not retrieval
It reconciles layered, conflicting documents and converges on the controlling answer, not just the nearest match.
Distilled knowledge
Document chaos becomes a Knowledge Pyramid, summary to source, that a small model can reason over instantly.
Independent components. One model underneath.
Playground, Quantix and Forge each stand on their own — run one or all of them. What they share is the model they reason with, and the rule that whatever comes out carries its source.
Nothing here is a wrapper around someone else’s API. Every layer is ours.
Your sources
Playground
Pyramid knowledge distillation
Quantix
Tabular reasoning
Forge
Coding assistant
independent · run one or all
The model underneath
SRA · Apex 3B
MARLIN adapters — reasoning built into the architecture
Your hardest questions live in tables, not paragraphs.
Ask most RAG systems to compare four years of a balance sheet and they will flatten the table into prose, lose the column headers, and confidently misread a row. Quantix keeps the structure — and reasons over it.
- Structure survives ingestion
- Rows, columns, headers, merged cells and footnotes are preserved as structure, not smeared into a text blob.
- Reads down and across
- Year-on-year movement, cross-row comparison, unit and currency reconciliation — the operations an analyst actually performs.
- Cited to the cell
- Every figure traces back to the exact table, row and column it came from, so a reviewer can check it in one click.
- Text and tables together
- Reconciles a number in a statement against the clause in the policy that governs it, in a single answer.
Illustrative figures — Quantix reading a real filing table.
Confidently wrong is still wrong.
Generic models hallucinate on regulated queries 28–82% of the time, then sound completely sure of themselves. We engineer reasoning into the model and anchor it to your sources, so there is far less left to guess at.
$67.4B
lost to AI errors, 2024
47%
acted on false output
4.3 hrs
/week verifying AI
Two answers to the same question. One oscillates and invents. One converges on a verified fact, and cites where it came from.
One reasoning core. Deployed where the work happens.
The same grounded engine behind your documents, your codebase, your meetings and the open web.
Playground
Grounded Enterprise Intelligence
Reasoning, not retrieval.
- Knowledge Pyramid, hierarchical retrieval with full provenance
- Evidence-first answers, every claim cited to its source
- Yard (DocChat), secure Q&A over private document corpora
Quantix
Tabular Reasoning Engine
A table stays a table.
- Structure survives ingestion, rows, columns, headers and merged cells
- Reads down and across, year-on-year and cross-row comparison
- Unit and currency reconciliation across inconsistent sources
Vexoo SRA
Structured Reasoning Adapter · Apex 3B
3 billion parameters. 70-billion-parameter answers.
- MARLIN adapter architecture, reasoning built into the model
- 77.3 on GPQA Diamond, at roughly 40% the compute
- Runs on a single GPU, fully air-gappable
Forge
Enterprise AI Coding Assistant
Your code never leaves your infrastructure.
- Private by default, code and prompts stay on your infrastructure
- Model-flexible, cloud, private cloud or fully on-prem, bring your own
- Two form factors, Forge Desktop and Forge TUI, one engine
Two verticals, built on the same core.
Where a domain needs more than a platform, we ship the whole solution — regulatory intelligence for BFSI, and offensive security testing under its own brand.
What makes Vexoo different.
Same question, two very different machines. Here is what changes when accuracy is engineered in from the start.
Swipe to compare →
Try it on your data first.
A simple, low-risk way to get started. No big commitment.
Start small
We test it on a few of your real documents. You see results in 2 to 6 weeks.
You check it
Your team checks the answers against the facts. If it’s not good enough, you walk away, no cost.
Roll it out
Happy with it? Use it across your teams, on your own servers or fully offline.
- 0%
- fewer hallucinations
- vs. generic LLMs
- 0%
- fact-verification accuracy
- on compliance queries
- 0%
- lower compute
- 3B doing 70B-class work
- ~0k
- queries / day
- across live deployments
Vexoo internal evaluation across live deployments · methodology on request
Made for the places where accuracy is non-negotiable.
Banking & Financial Services
Stay aligned to every circular, before the regulator finds the gap.
VAULT and RADAR run continuous, clause-by-clause alignment between RBI circulars, board policy and your SOPs, entirely on your own infrastructure.
Indian Bank · an RBI-licensed commercial bank · 19 gaps surfaced in a single V-CIP SOP
800 million people don’t need the most advanced AI. They need AI that never lets them down.
What we’ve done, and who for.
Real deployments across banking, government and the edge. The headline is the work.
Banking & Financial Services
We brought continuous RBI compliance to Indian Bank.
An autonomous ingestion pipeline continuously folds new RBI circulars and policies into the knowledge base and answers compliance questions consistently, branch-wide.
“A missed or misinterpreted RBI circular is not a process failure, it is a compliance violation.”Read the story
Outcomes
Real-time
circular ingestion
Zero
manual tracking
Branch-wide
consistent answers
We made decades of government orders answerable in seconds for Andhra Pradesh.
50%
faster query resolution
Every answer
carries its citation
2 langs
Telugu & English
We put predictive maintenance on-device for Tata Motors.
~50ms
on-device inference
6–8 GB
RAM footprint
Zero
cloud dependency
We standardised audit reporting across every author for CAG Bihar.
Any format
input accepted
Consistent
CAG-standard output
Faster
finalisation cycles
Questions enterprises ask first.
The short version: your data stays yours, every answer is sourced, and you only scale what you’ve already proven.
Where does our data live?+
Inside your perimeter. Vexoo deploys on-premise, in your VPC, or fully air-gapped, with zero external API calls. Your most sensitive documents never leave your infrastructure, that’s architecture, not a policy promise.
How is this different from RAG or ChatGPT?+
Standard tools retrieve the nearest-matching text and let the model improvise. Vexoo embeds reasoning into the model, keeps document structure in a Knowledge Pyramid rather than flat chunks, reconciles conflicting documents to the controlling rule, and grounds every answer in a cited source.
Do you eliminate hallucinations?+
No, and you should be sceptical of anyone who says they do. What we do is make hallucination much harder and much easier to catch: answers are grounded in your verified sources, every claim carries a citation you can open, and the system is built to say it can’t answer rather than invent one. On validated use cases that has meant roughly 78% fewer hallucinations than a generic LLM — a large reduction, not a guarantee.
Can we use our own models?+
Yes. Vexoo is model-agnostic. Forge and the SRA runtime work against frontier cloud models, models in your private cloud, or fully self-hosted open models — you choose, and you can change your mind later without re-platforming.
What does it run on?+
Small 1–3B parameter models that run on a single GPU, and at the edge on modest hardware. That’s roughly 40% less compute than comparable systems, with no dependence on a frontier cloud model — though you can point it at one if you want to.
How do we get started, and how long does it take?+
A scoped proof-of-concept on two or three of your live document sets, typically 2–6 weeks to first value. Your team grades the output against ground truth; if it doesn’t hold up, you walk away.
Which languages and regulations are supported?+
22 Indian and 40 global languages, including code-mix. Vexoo aligns to frameworks like the RBI FREE-AI guidance and the DPDP Act, with audit-ready, citation-backed outputs.
Put it to the test on your own documents.
A focused proof-of-concept on your live document sets. If the answers don’t hold up to your auditors, you walk away.