We Believe Vision AI Should Work Everywhere

We started Matrice because we saw a gap: brilliant vision models stuck in research labs, never reaching the factories, cities, and hospitals that need them most. Our mission is to bridge that gap — making production-grade computer vision accessible to every organization, regardless of infrastructure or expertise.

Our Story

Matrice was founded by a team of researchers and engineers from Northwestern University who spent years building vision AI systems for Fortune 500 companies. We saw the same pattern everywhere: months of custom engineering just to get a model running, then more months to make it reliable.

We built Matrice to eliminate that friction. Our platform handles the hard infrastructure problems — streaming, inference, orchestration, monitoring — so teams can focus on what matters: building applications that make a difference.

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Team

Leadership Backed by 38,000+ Citations

Reda Al Bahrani, Ph.D.

Reda Al Bahrani, Ph.D.

CEO

800+ Citations

Amar Krishna

Amar Krishna

Co-founder

800+ Citations

Dipendra Jha, Ph.D.

Dipendra Jha, Ph.D.

Co-founder, CTO

1,200+ Citations

Prof. Alok Choudhary

Prof. Alok Choudhary

Chairman of the Board, Investor

35,000+ Citations

Kumar Ramachandran

Kumar Ramachandran

Investor and GoToMarkets

800+ Citations

What We Stand For

The principles that guide everything we build.

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Your Data Stays Yours

We built Matrice for on-premise and air-gapped deployments from day one. Your video data never leaves your infrastructure. GDPR, SOC2, HIPAA, and EU AI Act compliant.

Research Meets Production

Our team publishes at top AI conferences and translates that research directly into our platform. You get state-of-the-art models that actually work in the real world.

Battle-Tested at Scale

Our infrastructure processes millions of frames daily across manufacturing floors, retail stores, and critical infrastructure. Built for 99.9% uptime and enterprise SLAs.

Backed and Supported By
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Build Something That Matters

We're looking for people who want to solve hard problems and see their work deployed in the real world. If you care about building technology that makes a difference, we'd love to hear from you.

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