ThinkDoc.
Multimodal cognition, evidence-driven answers, human–machine collaboration, open APIs, and agent interfaces—built as knowledge infrastructure, not only a knowledge base.
Architecture in three moves
Data fusion → knowledge refinement → trusted verification—so agents and applications consume evidence, not vibes.
Data fusion
Unify documents, structured feeds, and operational artifacts into one cognitive layer with consistent segmentation and provenance.
Knowledge refinement
Turn parsed content into curated, queryable knowledge with citations, constraints, and review-friendly workflows.
Trusted verification
Evidence packs, policy checks, and human-in-the-loop review—so “grounded” answers are actually grounded.
Agent interfaces
Stable tool contracts for agents: retrieve, cite, open APIs.
-H "Authorization: Bearer td-your-api-key"
Where ThinkDoc wins
Multimodal data model
A knowledge representation for multimodal documents—not only chunks—so answers stay tied to sources and structure.
Distributed foundation platform
One substrate shared by enterprise knowledge management and production AI agents.
Build knowledge you can trust
Research, enterprise knowledge bases, and AI agents—one infrastructure for evidence-backed intelligence.