Own-data AI search and retrieval console

Run contextual search, indexing and retrieval-augmented answers over your own data in one owned console. For teams running AI search and retrieval over their own documents and records, convert connected storage, document collections, access rules and query logs into reviewed, source-linked answers and a maintained index. The benefit is a testable hypothesis, measured through accepted answers per reviewer hour and retrieval errors found after release; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect connected storage, document collections, access rules and query logs, then follow this sequence: 1. Search by intent beyond keyword matching. 2. Index large data volumes with near real-time updates. 3. Ingest and refresh data automatically from connected storage. 4. Apply customizable filters to tailor results. 5. Run a managed retrieval pipeline with maintenance handled. 6. Support retrieval-augmented generation and agent workflows. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked answers and a maintained index, and measure accepted answers per reviewer hour and retrieval errors found after release against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate answers for the stated task modules. Use deterministic code for arithmetic, schema validation, access rules and reproducible tests. Review source-linked explanations and confidence scores before accepting results. One approved data scope and access model; final data classification and release decisions remain with the data owner. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve data ownership, source attribution, access boundaries and usage permissions. Data owners approve substantive changes and release scope. One approved data scope and access model; final data classification and release decisions remain with the data owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved data scope and access model; final data classification and release decisions remain with the data owner. Implement one approved input format, a bounded representative case set and the first two task modules: search by intent beyond keyword matching; index large data volumes with near real-time updates. Support the remaining modules with operator review: ingest and refresh data automatically from connected storage; apply customizable filters to tailor results. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Customer-owned storage, document systems and permitted data sources. Object storage, vector indexes, model gateways, worker runtimes and data management APIs. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Data sources and index status, Search and answer workspace, Stewardship and analytics. Use a source list with sync state, a central query and answer view with citations, and a right-hand panel for filters, confidence and review notes. Let users compare retrieved passages side by side. Display draft, changes requested and approved states. Provide a shareable answer link with comments anchored to the cited passage. Make the task-specific outcome reviewed, source-linked answers and a maintained index visible beside its evidence, review state and value baseline.