About Factify | One source of truth for a world run by AI

About Factify

One source of truth. For a world run by AI.

We’re building the infrastructure that lets people and AI work from the same trusted knowledge, follow the same rules, and move business forward with confidence.

The story behind Factify

The foundation for dependable AI transformation.

Sealed Truth Rulebook 100% Adherence

Why we exist

AI transformation starts with a shared truth.

Every business runs on knowledge: what is true, what is allowed, and how work gets done. But that knowledge lives across systems, documents, and people. Versions disagree. Rules change. Critical context gets lost.

Factify brings business knowledge into one governed source of truth and turns rules into an executable rulebook. So organizations can automate their processes, keep agents aligned, and trace actions back to the knowledge and approvals behind them.

Our mission

To make critical business processes reliable, accountable, and dramatically more efficient in a world increasingly run by AI.

Our backing

$73M

Raised to build what comes next.

Backed to build
the foundation.

Factify has raised $73 million, with seed financing led by Valley Capital Partners and participation from leaders in artificial intelligence and finance.

Read the funding announcement
Lead seed investor

Valley Capital
Partners

John Giannandrea

Former AI leader
Google & Apple

Ken Moelis

Founder
Moelis & Company

Peter Brown

CEO
Renaissance Technologies

Our founder

Research depth.
Practical ambition.

Professor Matan Gavish, founder and CEO of Factify
Photography: Yanai Yehiel

Professor Matan Gavish

Founder & CEO

Matan is a mathematician, data scientist, and founder of Factify. He earned his PhD in Statistics at Stanford University and is an Associate Professor at the Hebrew University of Jerusalem’s School of Engineering and Computer Science.

His research spans data science, artificial intelligence, and applied mathematics. At Factify, that scientific background serves a practical ambition: giving businesses a dependable foundation for putting AI to work.

Let’s build what comes next

Build AI on a foundation
you can trust.

Talk to the team