Midcentury
About
About Midcentury
Midcentury is an applied research lab building training data and simulation infrastructure for physical AI. Its dataset portfolio includes more than two million hours of egocentric video across over 50 environments, custom gameplay environments with engine-level signals, and multilingual conversational audio.
Midcentury Matrix is an agentic cloud simulation platform for designing, testing and training physical-AI systems. It combines digital twins, learned physics and massively parallel GPU evaluation; access is currently limited to an early-access request programme.
Articles
Products
Funding
- 2026-09-22 - Series Seed - $15M - Midcentury emerges from stealth with $15M Series Seed
Midcentury announced a completed Series Seed financing alongside its public launch. - source: tao.media
Team
- Chetan Kulhari - Co-Founder and Chief Executive Officer - Leads Midcentury's physical-AI data programme and the development and commercialisation of the Matrix simulation platform.
Timeline
Events
- 2026-09-22 - Funding - Midcentury emerges from stealth with $15M Series Seed
The company says its egocentric dataset spans more than two million hours across over 50 environments and 20,000 tasks. Matrix is positioned for cloud-scale robot-policy evaluation and post-training and remains available through an early-access request programme. The team cites prior work across Stanford AI Lab, OpenAI, DeepMind, NVIDIA and Scale AI; the announcement did not name investors.
Source
Context
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stack adjacency - Physical AI Data Infrastructure
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Context tags
- Robot-learning infrastructure stack - Stack Layer - https://www.midcentury.xyz/ - reviewed source supports this bounded company context.
- Physical AI data infrastructure - Stack Layer - https://www.midcentury.xyz/ - reviewed source supports this bounded company context.
- Simulation and Test Infrastructure - Stack Layer - https://www.midcentury.xyz/ - reviewed source supports this bounded company context.