Everything we shipped, version by version.

You drive your agents from the terminal, you edit their skills without restarting a workstation, and the AI gateway refuses cleanly instead of saturating.

You declare the links between your services from the terminal, and you know what each maintenance run did to your tables.

You query your existing databases without moving them, you open any port your workstation serves in one click, and you decide which tables an agent capability may read.

You schedule a query and let it run, you open a ticket without leaving the console, and you see whether an application reserves more than it uses.

Your data API connections are encrypted all the way to the client, your authorizations reach down to the object, and you size an application with a single number.

You keep your secrets in an area that is yours alone, you control your workstations' networking, and you clone several repositories into one.

You let an agent answer several conversations at once, and you are warned before capacity runs out.

You start a trial without asking us, and your agents get mailboxes of their own.

You administer the platform from a backoffice separate from your organizations' console.

You see the GPU fleet available, its real usage, and the history of what you consumed.

You measure your inference consumption precisely, and you expose models served outside the platform.

You provision Airflow from the console, and you run containers directly inside your workstation.

You find your services in a catalogue, with your favourites pinned. The features do not change, the way you reach them changes entirely.

You write to an agent like a colleague, it replies in the thread. And you query your data from the terminal, under your policies.

You define your own AI agents, from declaration through to conversation.

You build your dashboards with AI, and you manage your Kafka topics from the interface.

You set guardrails per resource and per group, and nothing is exposed to the internet unless you decided it.

You cross your data with twenty French and European public sources, without writing an ingestion script.

You scale up: Bifrost becomes distributed and autoscaled, and you monitor the platform from the console.

You drive the platform from the keyboard, from model serving through to a database's logs.

You serve your applications under your own domain names, from verification through to go live.

You administer the platform from a real panel, and a new organization starts with no manual step.

You get a three level memory layer, and vector search moves to BGE embeddings.

You deploy a container app from the console, with its ingress, its pods and its logs on the same page.

Your documents no longer leave the platform to be read: OCR runs locally on GPU.

You query your data from Petite Requete, and your object storage moves onto Ceph.

You plug a PostgreSQL database in as a source, and your policies filter down to the row.