A playground for the real world

Simulate any system
by spinning a world.

AI is changing science, but the teams doing the work still have no playground for the world they study. Give Hermion World real data and see how the system works, what blocks the goal, and what changes it. Your raw data stays with you.

One engine, any system with a goal

A jet engine, a battery, a bacterial colony, drug resistance in a tumour, a material, a market. Same engine, different evidence. Open a live world, or bring your own.

Spinning a world

Start with a protagonist and a goal. The world proposes the rest, and a hypothesis is yours to add.

i.

Name your protagonist

An asset, a ticket, a relationship, a candidate — whatever is trying to reach something.

ii.

Set the goal

A price, a milestone, an outcome. The world walks toward it in the steps the system itself has shown before.

iii.

Choose your actors

Default actors come proposed for every world. Add your own — pull in an actor from any other world if your hypothesis calls for it.

iv.

See where it's heading

The world shows how far the system has come, what is resisting the goal, what is carrying it, and the path ahead, projected from what actually happened. Nothing is told in advance what counts as resistance.

Why it works

You set the rules

Choose the actors and write how each one is read. Switch any part off, read it more strictly or more loosely, and the whole world recomputes. Nothing is told in advance what counts as a blocker.

Real data, results you can check

Worlds are built from measured data and replayed against what actually happened. The engine shows which actor is in the way, and which of your rules the answer depends on.

Your raw data stays with you

The data is read at your edge and turned into signals before it reaches the engine. That is how it is built, not a setting.

Any system with a goal

A protagonist, a goal and the actors around it. A machine, a cell culture, a patient, a market: if it has actors and a sequence, it is a world.

Agents spin worlds too

An agent can start a world on its own. Hand it a hypothesis through MCP and the Hermion skill, and it names the protagonist, sets the goal, chooses the actors, runs the world and reads the projection. Your data stays yours.

mcp.connect("hermion.world")

Explore worlds

Worlds built on real data. Open one, change a rule and watch the whole run recompute. Follow builders whose worlds hold up.

Each live world replays recorded data. The cards in grey are on the way.

BTC → $100,000 (2024 replay)

Hypothesis: crypto sentiment, risk appetite and rates, read together, lead how reachable $100,000 is. Change any rule and watch the year recompute.

M Mario
Open world
Lithium-ion cell → keep 80% of its first capacity

Hypothesis: heat decides when the warning comes. Read it loosely and the loss of attainability moves from 3,000 cycles to 5,200.

M Mario
Open world
Long-distance → co-living

Hypothesis: response latency is a stronger blocker than message tone in this specific phase.

M mireille
Coming soon
Compound X → Phase III

Hypothesis: month 2 adverse event reports and dose adherence lead trial continuation by one phase.

R rlab-04
Coming soon
Milling tool → keep cutting within its wear limit

Hypothesis: motor current and the table sensors carry the wear signal; the spindle sensors mostly add noise.

M Mario
Open world
Turbofan engine → keep flying to end of life

Hypothesis: compressor, fan and core drift bring the loss of attainability forward; reading the turbine group changes nothing.

M Mario
Open world

Join the waitlist

Hermion World is opening in stages, starting with research teams and builders. Leave your email and we'll write when your turn comes to predict with it.