Tyran AI - The easiest way to apply AI to health data

Hey folks,

I'm Kyriakos, founder of Tyran.

We've noticed over time that connecting to health sources, creating analysis, and applying AI on top was a very long process, and overall a challenging experience for many developers.

We created Tyran to make it super easy to develop health agents and have direct access to wearables, blood reports, health apps, and any health source you imagine.

Currently you can:
- Set up multiple agents
- Prompt the agents
- Attach an agent that is specialised in the health sources you want
- Create a health report, or send the data directly to your app
- Templates such as: Health monitoring, Stress monitoring, Sleep analysis and many more

What's coming next:
- More output types
- Scheduling to allow you to run the agents in
- More templates
- and many more!

To sign up: https://tyran.ai/

Also, we are super open to feedback - add your comment, and we are happy to build the feature you want for them

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.

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?

Super excited about the prospect of non-technical teams (product / ops / clinicians) being able to tweak agents without needing to ship code. Will there be UI controls for versioning or rollback for agents in case something starts behaving weirdly?

Congrats on the launch! Love the health AI concept. How easy is it to integrate Tyran agents into existing health apps?

Health data is notoriously complex, so I love seeing a tool that makes it actually usable. Tyran AI turning raw inputs like HRV, sleep, and cycle data into actionable insights feels like a big step toward more personalized health apps. Excited to see how founders and health-tech teams embed this into their products—do you see early adoption more from fitness/wellness apps or clinical use cases?

Congrats on the launch! Am I right that this includes auto integration of wearables? or how to analyze different HRV, sleep, and lab data from multiple users?

Oooh this is exciting! so when an agent pulls health data e.g. from Apple, is it raw or will it be unified into a standardised format before analysis? or does the agent handle device-specific formats itself?

Fascinating!! I'm excited to see what new innovations are born from this, seems like the possibilities are endless. Are you able to push alerts in real time to users on a personalised basis, or is this just for bulk analysis of users' data? For example, could I trigger an alert for a sudden shift from a baseline HRV?