MEτiS
MEτiS

(metis) — from Greek: practical intelligence, cunning, the wisdom of experience.

Immersive simulation for education

Understand. Investigate. Deliver.

A world to explore. Characters to interrogate. A deliverable to produce.

1.
Build a world
2.
AI brings it to life
3.
Your students investigate

Business, novel, historical event — the simulation integrates
YOUR learning objectives.

Your class, as an open world.

3
worlds
Business, literary work, historical event — with realistic data
∞
AI characters
Each character has their own personality, knowledge, and things they won’t volunteer
45
competencies assessed
23 soft skills + 22 hard skills, 4-level assessment aligned with professional frameworks
6
deliverables per session
Scored on a Bloom taxonomy rubric, tracked by team — all in one dashboard

In a traditional class, everyone receives the same information and looks for the same answer.

In MEτiS, each team chooses who to talk to, what questions to ask, which leads to follow. Two teams facing the same problem reach different conclusions — because they didn’t run the same investigation.

That difference is what makes the debrief.

Three worlds, one method

Choose the world that matches your discipline. The principle stays the same.

Here's what your next class looks like.

Click a domain to discover the scenario.

Before class

5 min setup

You open MEτiS. You choose "Artisan Bakery," HR module, and describe the problem: "The pastry chef wants to leave." The AI generates 6 characters: the owner, the pastry chef, the apprentice, the shop assistant, the accountant, a supplier. Each has their own personality, their own knowledge, and things they won't volunteer.
2:00 PM

The briefing

You project the situation: "You are HR consultants. Sophie, the pastry chef, has resigned. Understand why and propose a solution to the owner." Students scan the code and join in teams of 4.
2:05 PM

They read

Each team explores the company: headcount, org chart, revenue, social charges. They take the measure of the situation before talking to anyone.
2:15 PM

They talk

One team goes to Sophie: "Why do you want to leave?" — she talks about her hours and lack of recognition, but doesn't mention the conflict with the owner. You have to dig. Another team interviews the apprentice Thomas. He drops a detail nobody else will give: "Ever since the boss refused to fund her pastry training, she hasn't been the same." The owner plays it down: "She's just tired, it'll pass." Each character has their version. The truth is theirs to piece together.
2:45 PM

They write

Each team writes their recommendation: diagnosis, root causes identified, costed action plan. They submit in MEτiS. The AI pre-scores against a Bloom taxonomy rubric. You adjust in one click.
3:00 PM

You debrief

Team 1 talked to 5 characters but missed the supplier who knew Sophie had received a competing offer. Team 3 found the root cause in 20 minutes. Team 2 only talked to the owner — their recommendation is biased, and it shows. The debrief runs itself. Each team lived a different investigation, and the gaps create the discussion.

Read the context. Talk to the characters. Write a deliverable. The setting changes. The method stays.

Try it

Talk to the characters

Each character has their own personality, their own knowledge, and things they won’t volunteer.

Au Pain Doré — Artisan bakery in Toulouse, France. Léa, your pastry chef, is leaving in 3 months. How will you handle it?

Click a character to start talking

Choose a character!

5 minutes to create a world.

Everything else is automatic.

Create in 5 minutes

Choose a world, describe the problem. The AI generates characters with their knowledge and their limits.

Track everything

Who talked to whom, what questions asked, which clues discovered. Zero free riders.

Assess what matters

Deliverables scored on a Bloom rubric. Competencies tracked. AI pre-scores, you keep control.

Your next class can be an open world.

Create your first world in under 5 minutes — for free.