COHORT
007
ChronoSpace
We build world models that unlock greater efficiency and automation in physical industries like manufacturing, retail, and construction.
At ChronoSpace, we build 4D (3D + time) world models that unlock greater efficiency and automation in physical industries. Imagine digital twins of factory floors that track material volumes to increase throughput, or digital replicas of the real world to train robots faster – ChronoSpace’s world models make this a reality. In only the last 8 weeks, we have deployed our world models in paid pilots with customers, including Meta, with contracted revenue going from zero to over multi-size figures as of September. Our proprietary technology is based on AI breakthroughs made at Brown and Stanford in research led by Srinath Sridhar (CEO, Professor). Co-founders Aashish Rai and Tamar Kreitman built frontier spatial AI models and imaging systems at Brown, CMU and Meta.
Want more?
Join our investor community to view the full profile and connect directly with founders
Gallery
Meet the Team
Co-founder & CEO at ChronoSpace
Srinath Sridhar
Srinath is co-founder and CEO at ChronoSpace, and a professor at Brown. His expertise is in building spatial AI models for the physical world that go beyond the current generation of AI. He is the director of Brown IVL, one of the leading spatial/physical AI research groups in the world. He is the recipient of a Google Research Scholar award, an NSF CAREER award, and multiple best paper awards at the top AI conferences.
Co-Founder at ChronoSpace
Aashish Rai
Aashish leads spatial AI development and engineering at ChronoSpace. He is also a PhD candidate at Brown and an expert on building spatial AI models (e.g., PackUV, UVGS). He was previously at Meta and CMU, and has spent the last several years inventing state-of-the-art 3D/4D reconstruction algorithms. He has published at top-tier research venues such as CVPR.
Co-Founder and Capture Systems Development at ChronoSpace
Tamar Kreitman
Tamar leads capture systems development at ChronoSpace. Her expertise is in all things hardware, with a background in embedded systems and circuit design. She has designed wireless data capture systems across a wide range of applications.