DocFu

Knowledge graph intelligence for teams who ask why, not what.

DocFu unifies evidence, structured assets, and synthesis so stakeholders get reliable answers without flipping through dozens of reports.

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1.2M+

Knowledge assets

18 domains

Domain coverage

5 sec

Average response

Phase B + C

Context-first evidence

Step 1

Context & Preferences

Capture intent and guardrails before answering

Step 2

Data & Processing

Combine knowledge graphs with LLMs

Step 3

Data Assets

Curated sources & lineage metadata

Context & Preferences

Step 1

DocFu captures your intent and constraints in real time.

Data & Processing

Step 2

Knowledge graph + LLM orchestration for trustworthy answers.

Data Assets

Step 3

Searchable, curated sources with provenance baked in.

Every asset and trace is aligned, indexed, and audited so your answers are provable and ready for consumption.

Capabilities

Intentional answers for modern teams

DocFu

Data of Context for Users.

A manager's answer: "depends".

If two consumers have exactly the same credit profile then would you treat the same? Or if two brands launch identical products at the same time, would you expect the same pickup?

Depends on the context. Of macroeconomics, climate, preferences, and history.

We come in after "depends". We are the data and algorithms that solve for the context a manager states.

Data. Of Context. For Users.

Phase B + C

Governed Intelligence

Context-first assets with trust, clearance, and provenance baked in.

Sessions

Adaptive Workflows

Responsive session + conversation experiences for teams and reviewers.

LLM synthesis

LLM-Safe Answers

Inline fallback LLMs + Claude synthesis via cost-gated proxy.