Phaeth Vitae · for researchers

You take care of the science. We take care of the tech and the scale.

Vitae turns your finding into a living model the world can test, grounded in real science, not invented data, and puts it on the market via LLM. For researchers, labs, NGOs and R&D teams.


Today, a finding lands in a paper, and the loop never closes.

Months of work end as a PDF. It can't be re-run, stress-tested, or interrogated by anyone who wasn't in the lab. The path from finding to real-world use is left open, by hand.

🔬Finding
📄Published as a PDF
🔒Frozen
🤷Nobody can test it
The questions that matter, like "what happens if we change this?", can't be asked of a paper. They have to be asked of a model.

Built from your data. Grounded in real science, not invented data.

Vitae learns from the records, measurements and algorithm you already have, and builds a faithful living model on top of them. The fact base is your science, never improvised numbers. Synthetic where it has to be, privacy-safe by construction.

Your records Algorithm + LLM Living model
Real science in. A model anyone can run experiments on, out.

Model. Simulate. Act. Learn, forever.

Vitae isn't a one-off study. You model the system, simulate an action against it, watch it act, and every real outcome feeds back so the model learns. Evaluate your action in an infinite loop.

Closed loop it only gets sharper SIMULATE ACT LEARN Test the action on the model Deploy the intervention Observe impact · feed it back
Simulate an intervention, act, learn from the outcome, then run it again.

Three ways researchers put a finding to work.

Same engine, same loop, pointed at the question you're actually asking.

Ecology · conservation

Model a population, test an intervention

Build a living model of a bird population, simulate a conservation action, and watch how impact compounds over the loop, before it's tried in the field.

Medical · clinical

Wrap an algorithm in a testable twin

Take a blood-test or dose-response algorithm and let clinicians test how patients react to drugs, or how to manage pain, in natural language, grounded in real science.

Sports physiology · wearables

Read injury risk from wearable signals

Turn signals from connected sportswear, HRV, training load, ACWR, sleep, recovery, fatigue, into a model of athletic readiness and injury risk you can test against an action.


Anyone can test your model, in plain language.

The model is deployable via LLM: a clinician, a field officer, a coach asks a question in natural language and gets an answer computed against your science, never improvised, without touching the raw data. That's how a finding reaches a use case.

🧠Your model
💬Ask in plain language
📐Computed on your science
An answer you can act on
The LLM turns grounded evidence into a readable answer. It never guesses the result, the numbers come from your model.

Proof on held-back outcomes, not slideware.

For a scientific audience this is the whole game. We build the model, then test its predictions against outcomes we held back, that the model never saw. We agree the accuracy bar up front. If the predictions hold, you scale it; if they don't, we say so and stop.

01

Bring your science

Your dataset, measurements or algorithm. We build the living model on top of it.

02

Agree the bar

We set the accuracy target together, up front, before any prediction is made.

03

Predict the held-out

The model predicts outcomes we deliberately hid. It has to match reality to pass.

04

Keep what holds

If it holds, you scale it. If it doesn't, we say so and stop. No confident guesses.

A paper is frozen.
Vitae is a model the world can test.

Start a pilot on your own science, and watch the loop close.

Want to talk it through first? Email us at [email protected].

GROUNDED IN REAL SCIENCE PRIVACY-SAFE BY DESIGN PROVEN ON HOLDOUTS

Ethics and data governance matter most in medical and animal research. We work to your protocols and state principles, not certifications, until they're confirmed with your team.