
AI Search Engine
An intent-aware research search layer that gathers evidence through complementary retrieval roles in parallel, fuses candidates around the query, and keeps provenance and partial-failure state visible.
Knowledge graphs, retrieval-augmented generation (RAG) and associative memory: connecting sources, context and answers.

An intent-aware research search layer that gathers evidence through complementary retrieval roles in parallel, fuses candidates around the query, and keeps provenance and partial-failure state visible.

A staged analysis service turns long conversations into source-linked topics, entities, and other signals without hiding incomplete work.

A reusable visual-representation index for related-image, text-to-image, and identity-oriented retrieval, with coverage gaps kept visible.

Research ingestion that follows selected sources, extracts usable material and keeps provenance attached, with explicit outcomes when evidence is missing or a run fails.

A source-aware recall capability that combines independent evidence roles while keeping each result’s origin visible.

An evidence-first research workspace that keeps source provenance attached and makes missing or invalid material visible before interpretation.

A read-only content graph turns source-derived concepts and facts into bounded, provenance-aware context for editorial and research work.

A bounded orchestrator-worker runtime keeps image-analysis results linked to their source records and validates them before durable save.

A historical research system that queued source collection and comparative analysis while keeping retained evidence separate from interpretation.

A historical source-to-draft workflow that kept research, drafting, section-aware media and editorial decisions attached to durable workflow state.

A read-only knowledge graph that keeps source context and quality state attached to facts while supporting bounded relationship and path exploration.

A grounded search and recall architecture that combines complementary retrieval roles while preserving the references needed to inspect the result.

A source-aware recall system that can follow bounded relationships beyond direct similarity while keeping retrieved context attributed and recoverable.

Documents and messages become searchable through staged analysis that keeps derived results connected to their source evidence.