Shofo

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The World's Largest Video Library

Winter 2026Founded 20254 peopleSan Francisco, CA, USA

shofo.ai/ ↗LinkedIn ↗X ↗

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AI insightcan contain mistakes

Synthetic Data LabelingSaaSAI labs, computer vision teams, researchersMedium competition

Moat

Massive video index; proprietary labeling agents; relationships with content sources; time-to-delivery advantage.

Key risk

Synthetic data generation tools may reduce demand for real video; copyright/licensing disputes over aggregated video library.

Why now

Generative model training at scale requires massive labeled datasets; vision AI demand accelerating.

Competitors

Labelbox, Scale AI, Roboflow, Supervisely

About

We are building the world’s largest video library. We've aggregated billions of videos into a searchable index and use agents to find and label the exact datasets a lab needs on demand. If a lab needs 100K hours of cooking videos where someone is holding a pan, with reasoning annotations on top, our agents search the index, extract the matching subset, route it through our labeling pipeline, and deliver a custom dataset in days, not months.