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Velvet

Training data for underserved domains

Y CombinatorFall 2025ActiveB2BArtificial IntelligenceGenerative AIData EngineeringConversational AI

What they do

Problem

AI teams in underserved domains lack sufficient high-quality training data to build effective models.

Solution

Velvet provides training data tailored to underserved domains for machine learning model development.

Who it's for

Machine learning teams and organizations building AI models in underserved domains.

Founders

Lucas Mantovani
Founder

Co-founder, CEO of Velvet. Ex video data + youngest member @ Meta FAIR. CS honors @ UChicago. Brazilian olympiad medalist in Math + Physics.

Lucas Tucker
Founder

Co-founder, CTO of Velvet. Ex-eng @ Adobe working on realtime content delivery. Honors Math & CS @ UChicago.

Open roles 3

Forward Deployed Engineer
San Francisco, CA, US · Full-time · $175K - $200K · 1.00% - 2.50%
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Founding Machine Learning Engineer
San Francisco, CA, US · Full-time · $180K - $200K · 1.00% - 4.00%
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Research Scientist
San Francisco, CA, US · Full-time · $250K - $300K · 1.00% - 4.00%
Apply ↗

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