Lived context for AI agents
The knowledge you gather, the actions you take, and the decisions you make become the source of truth for AI, giving agents the context to complete work the way you would.
ROOTS-1
ROOTS-1 connects the decisions and actions behind everyday work into a living source of context. It gives AI agents the history they need to understand how work gets done, across people and applications.
Context infrastructure
Privacy research
With Carnegie Mellon’s CyLab, we research small language models that run on device, so sensitive context can stay on your machine.
Joint research
HelixCove
A dataset of generated workplace histories, grounded in patterns of real work. HelixCove follows how information, decisions, and actions move across people and applications over time.
Latest research
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Give your agents roots
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SOC 2Type II
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HIPAACompliant
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GDPRCompliant
- Trust center