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Video datasets for frontier AI
Backed by Y Combinator · AI Grant
Sieve is the only AI research lab exclusively focused on video data. Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in. We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.
Sieve provides high-quality multimodal data (video, audio, image, and interaction data) for frontier AI. They offer curated, densely annotated datasets delivered securely for AI research and development. Their platform supports end-to-end data sourcing, labeling, and delivery at scale.
Sieve sources real-world, digital, and simulated data, filters it for semantics and quality, indexes billions of multimodal items, annotates with dense labels and metadata, and delivers training-ready datasets and environments. They offer pre-packaged datasets or custom data collection, with a process: explore capabilities, receive samples, scope data/metadata/licensing, purchase access, and receive delivery within days or via SLA.
Who it’s for: AI research labs, leading AI labs, Fortune 100 AI teams, fast-growing AI startups requiring multimodal training data and evaluation sets.
hiring: careers page; traction: trusted by leading AI labs, Fortune 100, and startups; funding: not stated
Mokshith is co-founder and CEO of Sieve. Mokshith used to work on computer-vision problems at Scale AI, NVIDIA, and Ford where he experienced first-hand, the difficulties of building and scaling vision-based analytics systems. Before that, he graduated from UC Berkeley with a B.S. Electrical Engineering and Computer Science. Mokshith found his love for computer-vision on his high school robotics team, where he also met Abhi. Mokshith deeply enjoys orange chicken.
Abhinav (Abhi) Ayalur is the co-founder and CTO of Sieve. Abhi leads technical design and development along with steering the overall company vision. Abhi's previous experience includes stints in computer vision, data analysis, and API development at Second Spectrum, NVIDIA, Microsoft, and Niantic. Abhi graduated UC Berkeley with a B.S. in Electrical Engineering and Computer Science. In his spare time, Abhi loves to play the alto saxophone, eat good food, and play basketball.
AI + human review to solve data cleaning - accessible via API or Excel
Dataset Management for AI Trainers
