#1 Analyze
ANY DATA
SOURCE
Databases, documents, event streams, warehouses — Openctl profiles the schema, indexes the content, and makes all of it queryable by your models.
One workspace for cloud and local AI — analyze any data source, wire the results straight into your application, then create, test, and customize without ever switching tools.
Real applications, built and shipped on Openctl.
One workspace, end to end
#1 Analyze
Databases, documents, event streams, warehouses — Openctl profiles the schema, indexes the content, and makes all of it queryable by your models.
#2 Route
Send a job to a frontier API or run an open model on your own GPU. The calling code is identical, so you swap providers without a rewrite.
#3 Integrate
Results come back typed and testable, wired directly into the application — not dumped in a notebook for you to glue together afterwards.
#4 Create
Compose the whole application inside the workspace. No handoff between four different tools every time you want to ship one change.
#5 Test
Run evaluations against your actual sources, tune prompts and pipelines, and catch what regressed before any of it reaches production.
#6 Customize
Adjust models, prompts, pipelines, and interface without leaving the tool, waiting on a rebuild, or filing a ticket with another team.
The control plane
Openctl sits between the data you already have and the application you're building. It profiles and indexes your sources, routes each job to local hardware or cloud models, then hands the results back as typed, testable output.
Time to production
Most of an AI project isn't the model — it's the plumbing around it. Openctl collapses the four phases teams lose the most time to into a single workspace.
Built with Openctl