The open foundation

Co-create the platform.

entrosana is a foundation that hosts dedicated tracks — operational tools contributed by aligned practitioners or built in-house. One deterministic engine underneath, many tools on top.

The contribution model

Carry a scope we don't cover yet? Propose a track.

01

Bring the expertise

You carry the domain — a niche, a population, a method entrosana doesn't cover yet. Propose it as a track.

02

We provide the scaffolding

We pair the proposal with the technical scaffolding: the agent service, the audit plumbing, the deployment pipeline.

03

It inherits the guarantees

The same DLM engine, the same signed audit trail, the same Swiss/EU residency by design apply automatically — not re-implemented per track.

Open by default

Open where it makes sense, closed where data residency demands it.

Open source

The full monorepo — agent service, public site, infrastructure config, deployment pipelines. Open under AGPL-3.0.

Tests as spec

CI/CD with tests-as-spec. Every deploy is reversible. Open where it makes sense, closed where data residency demands it.

Shared runway

Tracks share one cloud runway — no per-partner cloud-cost negotiations, no infrastructure bills passed through to schools or learners.

View the source · gitlab.com/Giansn/entrosana-ai

Browse what's built

See the tools already running on the engine.

The back-office assistant and the learning hub are live tracks today. Each is an operational tool with a clear who-it's-for — and a template for the next one.