Own-data AI search and retrieval console
Run contextual search, indexing and retrieval-augmented answers over your own data in one owned console.
Build your own version
Run contextual search, indexing and retrieval-augmented answers over your own data in one owned console.
Reduce rented model subscriptions while keeping reasoning capability inside the client's own app.
Keep several agent sessions visible, alive and isolated in one local workspace.
Reduce repeated context re-explanation while keeping memory under the team's control.
Reduce the gap between a plain-language app concept and a deployed application the client owns.
Turn plain-language descriptions into working AI-powered automations and agents that run under review.
Reduce tool sprawl and handoff gaps while keeping the generated code and data under the client's control.
Reduce the technical effort to turn a described task into a running multi-step automation across apps.
Reduce the number of separate build and publishing tools while keeping a reviewed, owned app project.
Cut manual test authoring and maintenance while keeping release checks under team control.
Reduce tool sprawl and manual training work while keeping data and model weights under the team's control.
Reduce the number of rented assistants while keeping answers source-linked and inside the organization's own deployment.
Reduce time spent re-finding saved information while keeping the library under the owner's control.
Keep everyday AI chat, drafting and document questions on the device while retaining source-linked review and administrator control.
Reduce exposure of research activity while keeping findings searchable and reusable.
Reduce time to diagnose agent failures and quality drift while keeping production traces under the team's control.
Cut time-to-root-cause and incident coordination effort while keeping engineers in control of fixes.
Reduce time to coordinated resolution while keeping responders in control.
Generate branded decks from app data and automated workflows without manual rebuilding.
Reduce prompt release risk while keeping evaluation evidence and production traces in one owned workspace.
Reduce prompt regression risk and manual comparison work while keeping one owned record of every prompt version and test result.
Reduce prompt revision cycles while keeping a reviewable record of what changed and why.
Reduce toolchain assembly while keeping the generated code and deployment under the buyer's control.
Reduce manual coding and handoffs while keeping the team in control of the shipped app.