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Humsana

Humsana provides a behavioral context engine that infers user state—such as stress, focus, or hesitation—in real time from interaction patterns like keystroke timing and scroll velocity, without capturing content or PII. Its local-first, open-source platform enables systems to adapt dynamically, such as gating risky actions or adjusting AI responses. The company offers four products built on this shared behavioral core.

HQ unknown
0+ followers
  • Artificial Intelligence
  • Developer Tools
  • Enterprise Software
  • Financial Technology
  • Healthcare Technology
  • Software Only
Updated 10 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

AI systems and digital interfaces typically lack awareness of a user's real-time cognitive and emotional state, relying only on explicit inputs or static profiles. This limits their ability to respond appropriately to moments of stress, distraction, or confusion, leading to poor user experiences and potentially unsafe interactions.

Solution

Humsana provides a behavioral context engine that infers user state in real time from interaction patterns, such as keystroke timing, rhythm, scroll velocity, and dwell time, without ever reading the content itself. The platform processes these signals locally on the device, computing probabilistic indicators of stress, focus, fatigue, and hesitation in under 20 milliseconds. This enables systems to act on the inferred state—for example, by gating a risky action, adjusting an AI response, or surfacing a well-timed prompt. Humsana's architecture is privacy-first, with no raw data storage, no PII capture, and open-source components that are auditable by anyone.

Target Audience

Primary customers are product teams and AI developers building responsive interfaces, particularly those in high-stakes environments like fintech, health tech, and enterprise software, where understanding user state can improve safety and user experience.

Features

  • Real-time inference of user state from behavioral signals, including keystroke dynamics, scroll velocity, and dwell time, with sub-20ms latency
  • Local-first processing that ensures no content or personally identifiable information ever leaves the user's device
  • Open-source source engines that allow for full transparency and independent security auditing
  • Four distinct products, each leveraging the same behavioral core to address different use cases, from adaptive AI responses to risk gating
  • Probabilistic signal computation for stress, focus, fatigue, and hesitation, enabling context-aware system actions
This profile is AI-generated and may contain inaccuracies.