About

We're teaching the world's cameras to understand what they see

Billions of cameras already watch the physical world — yet almost none of them understand it. Foveo exists to close that gap: to make computer vision something any team can deploy, not just AI labs.

Why we started Foveo

We spent years shipping vision systems the hard way — stitching together labeling tools, training scripts, and brittle edge deployments. Every project rebuilt the same plumbing before it could answer a single question about the real world.

Foveo is the platform we wished we had: one pipeline from camera to production, so teams can focus on the problem — not the infrastructure underneath it.

2021
Founded
85+
Team across 3 countries
40M+
Frames processed daily
120+
Production deployments

What we value

🎯

Accuracy is a promise

A wrong detection on the line costs real money. We measure relentlessly and ship only what holds up.

⚙️

Production over demos

A model that wows in a notebook but fails at 3am is worthless. We build for uptime.

🔒

Privacy by default

Vision is powerful and personal. On-device anonymization and data minimization come standard.

🔁

Learn from reality

The best training data is live feedback. Every correction makes the system smarter.

The team

We're hiring →

Dr. Lena Cho

Co-founder & CEO

Marcus Reyes

Co-founder & CTO

Priya Nadar

VP, Research

Tom Albright

VP, Engineering
Backed by
LightfieldFoundry VCAtlas PartnersNorth Star
Work with us