Runtime & User Agent
- Bounded execution runtime
- Dataset-bound scheduled work
- User Agent surface
- Runtime results return through structure
One structured platform where AI works across the full path from data to interface. When data or logic changes, the interface updates instead of being rebuilt by hand.
Agents through structure · Inspectable by design · Changes become updates
Most AI agents can act. Few can stay aligned. Agents need structure, so changes stay inspectable, controlled, and updateable.
See what changed, why it changed, and what it affects.
Agents work through structure, not isolated prompts or outputs.
Changes become updates, not manual rework.
Not a black-box assistant. Not a generic agent builder. Workspace command surfaces, scoped assistants, and the User Agent surface all work through one connected model, so every action stays inspectable, controlled, and aligned.
Turn connected data into pages, views, workflows, and published outputs through one structured path, strongest in the operational wedge.
One connected platform spanning Integrate, Store, Transform, Design, Build, and Publish. Agents work through these as proved owner capabilities. Humans inspect and refine them directly.
Connect files, feeds, APIs, and data sources into one governed starting point.
Structured storage for relational data, documents, and durable system state.
Clean, normalize, reshape, and validate data through replayable pipelines.
Design pages, views, and systems directly from connected structured data.
Build dynamic apps, sites, and workflows from data-driven structure and logic.
Publish supported outputs from the same structured platform.
Bring a catalog, supplier directory, ops queue, or any change-heavy workflow your team still rebuilds by hand. We turn it into one connected system agents can work through and prove clean change on real data without manual rework.