FlowData Studio builds training data that frontier AI teams can't source elsewhere — from tacit expert knowledge, to embodied world understanding, to rich multimodal perception.
Organized by model training objective — the way AI teams actually think about data.
The most valuable training signal in the world is what experts know but rarely articulate. We source from practicing professionals — not crowdworkers — and translate expertise into structured, verifiable AI training data.
Foundation models need to understand how the world actually works — objects, physics, space, causality. We build multi-view, temporally-grounded datasets for teams training embodied and world-model architectures.
Film and TV professionals building datasets that generic vendors can't replicate. High creative fidelity, flexible capacity, and a workforce that understands what quality actually means for generative and perceptual models.
Most data vendors collect. We build the operational layer that translates — turning what domain experts know into what frontier models can actually learn from.
From large tech platforms to frontier AI labs, across both markets.
Expert skills & multimodal data at volume across multiple model teams.
High-fidelity video datasets built with production creative talent.
Domain expert pipelines for specialized model fine-tuning.
From initial scoping to first delivery in weeks, not months.