Cortex AI

Summary

About

About Cortex AI

Cortex's data pipeline adds hand and body pose, depth and subtask annotations to first-person recordings, turning workplace activity into structured training material. It also collects trajectories on specific robot embodiments and supports supervised model rollouts, including recovery examples when a policy encounters an edge case.

The business extends into evaluation as well as data supply. Ai2 credited Cortex with support for the MolmoAct 2 Bimanual YAM dataset in May 2026 and retained it to benchmark five robot policies across repeated bimanual tasks. This connects Cortex's collection network with model fine-tuning and comparative testing, helping robotics teams assess how trained behaviours transfer to physical tasks.

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Team

  • Lucas Ngoo - Founder

Timeline

Events

Context

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Context tags

  • Physical AI data infrastructure - Stack Layer - Profile source material supports Physical AI data infrastructure context.
  • Robot learning - Capability - Profile source material supports Robot learning context.
  • Robotics data infrastructure layer - Stack Layer - Profile source material supports Robotics data infrastructure layer context.

Commercial

  • Emesent receives A$3m grant for Cortex AI autonomy platform

    2026-08-05 · Order / contract · Emesent secured an A$3 million Australian Government grant toward a A$7.4 million programme to develop and commercialise Cortex AI, its modular GPS-denied autonomy platform.

    Source