Video datasets for frontier AI
Frontier AI teams lack high-quality, large-scale video training data, which bottlenecks progress in video modeling.
Sieve builds exabyte-scale, high-precision video datasets using large video infrastructure, video understanding techniques, and diverse data sources.
Frontier AI labs and large enterprises building video models and video-enabled AI applications.
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.




