Tyran AI

The easiest way to apply AI to health data

Health & Fitness

Developer Tools

Artificial Intelligence

Congrats on the launch ! The HRV analysis part caught my eye—do you see Tyran being more for consumer-facing apps or also for professional healthcare tools?

Hey PH,

I’m Shang En, lead engineer at Tyran. We built Tyran because creating end-to-end health agents used to require a full team, bespoke pipelines, and weeks of work.

Before vs after

• Weeks to minutes from idea to a working health agent

• From stitching SDKs, schemas, and prompts to a single cohesive flow that ships to production

What we fixed

• End-to-end agent creation: ingestion, normalization, prompting, outputs—without glue code

• Agent orchestration and lifecycle: run, schedule, version, and monitor without babysitting

• Accessible to non-technical teams: product, ops, and clinicians can create and tweak agents

• Easy connections to health data: bring your existing wearables, labs, and app data; we normalize it

• Programmatic actions: agents can call your APIs to create workouts, push alerts, or update plans

• Specialized analysis: sleep, HRV, stress, menstruation insights, workout optimization—templates included

• Contract-safe outputs: typed JSON with validation to protect downstream jobs and UIs

Now you can

• Ship features without rebuilding ingestion → transform → prompt stacks

• Keep outputs stable and auditable while leveraging AI

• Unblock iteration across the whole team, not just engineering

We’re rolling out more output types, scheduling, and additional templates next.