Honest numbers
Reproducible benchmarks first. Synthetic results stay labelled as synthetic. We never relabel a sample run as a customer outcome.
Company
We start where
We start where
prediction stops.
Graph foundation models proved you can predict anything on relational data. They stop at the score. AhinsaAI builds the engineering to surface the graph your data hides, predict what is next, and let governed agents take the action, on your data and under your control.
Why we exist
A prediction on a dashboard changes nothing on its own. Someone still has to read it, decide, and act, usually in another tool, often too late. The hard part is not the score. It is everything around the action: surfacing the relationships a warehouse flattens away, governance, audit, isolation, temporal safety, human control, and the discipline to run on your own data without it ever leaving your environment. That is the work we do, and it is where the rest of the market stops.
What we build
One platform that rebuilds the graph hiding in your relational tables, predicts what is about to happen, and deploys governed agents that take the action, across more than thirty use cases and fifteen industries. We are not predictive analytics and we are not a dashboard. We are the autonomous step that comes after the prediction.
How we work.
Your data, your control
The intelligence comes to your data. It runs where your data already lives and never has a path out of your environment.
Accountable by design
Every decision is explainable, traceable, and reversible, with a hash-chained audit record behind it.
Production over demos
We ship the unglamorous parts: isolation, limits, fail-closed auth, point-in-time safety. The parts that pass a review.
Let us show you what production-grade looks like.
Bring a labelled table or use a bundled sample, and we will score, backtest, and audit a use case end to end.
We will reach out within one business day.