Enterprise AI · on your data

AI on your data, that your whole team can trust.

Jubi grounds every answer in your own numbers and keeps a clear record of who asked what. Your team gets the confidence to put AI to real work, not just pilot it.

Built for Banking · Government · Healthcare across Malaysia & ASEAN

The situation

Your team already wants AI. Now you can say yes.

Some of it you bought. Most of it they found on their own. Getting an answer was never the hard part. Trusting it was, along with knowing who asked and being able to show your work later. Jubi makes saying yes the easy part.

Your question
"Gross margin, Q1?"
Atlas · your metrics
finance.gross_margin
Sourced answer
54.7% ✓
Without grounding: the model guesses 62% ×. Plausible, and wrong.
How it works

The five questions everyone asks. Here are the honest answers.

No product manual required. Just the questions a careful team actually has.

Can we trust the numbers it gives us?

Jubi answers from the metrics, glossary, and tables your team defined, not from whatever the model picked up in training. When a question can't be sourced from your data, it says so, rather than making a number up.

Grounding · Atlas

Who asked what, and can we prove it?

Every request is tied to a person through your existing sign-on and kept in a clear record. When Jubi turns one down, that's logged too, with the reason it was refused. The trail is yours to show.

Trust & audit · Guardian

Is it touching data it shouldn't?

Your permissions don't stop at the database. Jubi carries them through to where the AI asks — per team, per project. If someone can't see customer records, the AI won't hand them over in a summary either.

Access · Guardian

Will the same question give the same answer?

Revenue means one thing here, not five. Jubi reads from a single shared definition, so finance, sales, and ops land on the same number. Ask it again next quarter and you can show the result holds.

Consistency · Atlas

Can our team, and our customers, actually use it?

Run it as a web app for your analysts, embed it in the products you offer your own customers, or bring it into Microsoft Fabric. People stay where they already work.

Deployment · Studio
The platform

Three parts, working as one.

You don't need to learn these to feel the difference. When your architects ask, here's the shape of it.

Studio

Where your team works

Catalog, project spaces, your semantic layer, chat, and a builder for embedding Jubi in the products you ship to your own customers.

Guardian

Protection & identity

Every request tied to a person and checked against role before it runs, then kept on the record whether Jubi allowed it or refused.

Atlas

The shared truth

Your metrics, glossary, and rules written down once, so the AI reads your business instead of guessing at it.

A person and a friendly AI companion working together over data dashboards on a cloud
The feeling

Your team and your AI, working as one.

When the numbers are sourced and the record is honest, the worry lifts. Your team stops second-guessing the AI and starts working with it like a colleague they actually trust. That's what we built Jubi for. The answers get smarter, and so does the calm around them.

Jubi is short for jubilant. We think trusting your AI should feel like relief, not risk.

Governance usually feels like a brake. We built Jubi so it feels like permission, the green light your team has been waiting for.

What we believe

A few things we won't bend on.

01

Yours stays yours

We don't train on your data, and we don't share it across customers. It stays your data, full stop.

02

Grounded over guessing

A sourced answer your team can check beats a confident guess, every single time.

03

Always able to show your work

What the AI did, and what it was refused, both land in the record, so an auditor's question has a clear answer.

See what your data can do.

Book a demo and we'll run Jubi on a slice of your own warehouse, with your metrics, in your environment. Judge it on your numbers, not ours.