PulsHealth

AI Health Agent for wearable health data

AI health agent with clinical grounding and privacy-preserving reasoning. Integrate into your product or use directly to unlock your health data.

Clinical grounding and fact checking

Health is a domain where accuracy is non-negotiable. The AI Health Agent is grounded in clinical truth through multiple layers.

Knowledge Base Grounding
The agent has access to PulsHealth's extensive Wearable Knowledge Base — typical ranges, device-specific accuracy, sampling characteristics, and clinical significance. No hallucinated health information.
Tool-Based Fact Checking
The agent verifies its own claims against the knowledge base before responding. It actively retrieves and cross-references authoritative metric data during reasoning.
LLM-as-a-Judge Testing
A continuous evaluation pipeline where LLM judges score agent responses against clinician-validated ground truth across clinical scenarios, edge cases, and device-specific nuances.
Multiple Integration Paths
Use out of the box, or integrate via MCP, agent-to-agent communication, or the PrivacyProtect query layer directly with your own agent.
Clinical Input
Our testing corpus is built and reviewed with input from clinicians and health data scientists. Ground truth comes from real clinical expertise, not LLM-generated benchmarks.
Direct Individual Use
Not just for developers — individuals can ask questions about their own health data in plain language and get clinically grounded answers.

Privacy first

The AI Health Agent works with the PrivacyProtect Layer to ensure health data is handled responsibly at every step.

  • An on-device LLM determines the minimum data needed — nothing leaves the device unless required
  • When cloud models are needed, data is aggregated, filtered, and anonymized before sending
  • You stay in control — cloud processing is only suggested when genuinely necessary
  • Full visibility into what data was shared, with whom, and when

The PrivacyProtect Layer is also available as standalone middleware for your own agent. Learn more.

How to get started

Use it directly

Ask questions about your health data in plain language. Get insights backed by clinical context, not just raw numbers.

  • Natural language questions about your wearable data
  • Clinically grounded answers with context from the knowledge base
  • On-device privacy — your data stays under your control

Integrate with your system

Drop the AI Health Agent into your existing architecture. Pick the integration path that fits — no rework required.

  • MCP — Connect via the Model Context Protocol for tool-based integration
  • Agent-to-agent — Let your agent communicate directly with the PulsHealth agent
  • Query layer — Use the PrivacyProtect query layer directly with your own agent

Build health AI that users can trust

Join the waitlist for integration access. Individuals can also use the AI Health Agent directly in the PulsHealth app.