faster to first decision
One Python runtime from model to working interface.
Make every model a working surface
Move from a promising model to a governed application without rebuilding the work between them.

A tighter thinking loop
One Python runtime from model to working interface.
Progressive queries keep the useful shape of the data in view.
Runs, parameters, and outcomes stay connected by default.
Progressive by design

Progressive queries, server-side aggregation, and deliberate state boundaries protect the operator’s rhythm as datasets grow.
See how it worksParameters, model versions, human overrides, and outcomes stay attached to one inspectable trail.
Explore governance
A complete application loop
Compose data, models, and human review into a visible flow your whole team can read.

Every run carries its inputs, status, outputs, and history into the next handoff.

Build focused tools for operators, analysts, and reviewers without rebuilding the model layer.

Natural-language exploration resolves into inspectable filters, queries, and saved views.

Integrations
Pineframe stays useful on its own and composable inside a larger data platform.
One system, fewer handoffs
Turn an experiment into a usable surface while keeping the model, data, and evaluation loop together.
Application gallery
Use the same foundations to build a focused pilot, a daily operating surface, or a governed production system.
From the field
“We stopped translating the model into screenshots. The people making the call can finally work in the same surface as the team building it.”
“The run history changed review meetings. Every disagreement now points to an assumption we can inspect instead of a number we have to defend.”
The Pineframe journal
Open source core
Build the first useful surface before the next meeting.
For governed teams
Private deployments, access controls, observability, and support.
Talk to Cat Forest