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Independent research in machine intelligence

Intelligence
that can act.

We build intelligence that learns from experience and acts in the world.

Our work
re1 / Spatial memoryResearch preview
A place you can revisit

Recorded in the re1 viewer. A completed scene, revisited in 3D.

01

Reflex-1

Decision models for agents

A 421M-parameter model for tool routing, intent classification and action selection. Public weights; runs on CPU or GPU.

Public weights
02

Samsara-VLA

Robot learning

Robot control with recurrent memory. 94.50% native LIBERO success in a 217M-parameter policy.

Experimental
03

Colony

Persistent agents

Persistent agents that work in your tools, remember your projects and build what you need.

Technical preview
04

re1

Spatial memory

Persistent video memory, scene reconstruction and simulation artifacts for physical-AI research.

Research preview
05

VIO-lens-2

Research

Research in progress.

In progress

From the journal

Notes on
the work.

All writing