Knowledge infrastructure for AI

Turn company knowledge into usable context for AI

Organize documents, decisions, and internal know how into a structured knowledge layer your team and agents can actually rely on.

Hover over a document to reveal extracted entities

Q3 2024 Revenue Report.pdf
Finance · Modified 3 days ago
Unprocessed
RevenueQ3
Product Roadmap · Notion export
Product · Modified 1 week ago
Unprocessed
FeaturesTimeline
Slack export · #eng-decisions
Engineering · 247 messages
Conflicts found
DecisionsOwner
Customer contracts · Salesforce
Sales · 84 records
Structured
ARRCustomer

From scattered documents to traceable knowledge.

ceadr sits between your siloed internal sources and the AI agents that need to rely on them, structuring, resolving, and syncing everything in between.

Data sources
CustomersInventorySuppliersPlantsWeather
Pipeline
· Ingest
· Resolve
· Score
· Govern
· Structure
Knowledge Base
Agent connector
· Agents
· Copilots
· APIs
Document quality scoring
ceadr assesses the relevance, completeness, and reliability of every document before it enters your knowledge layer, so agents only rely on what is actually trustworthy.
AI-powered data reconciliation
When conflicting information exists across sources, ceadr does not just surface the contradiction. The AI arbitrates and produces a single, governed truth.
Writebacks · two-way sync
The knowledge layer is not read-only. When agents update information or decisions are made, ceadr writes that intelligence back to your systems of record automatically.
Data lineage and traceability
Every structured fact traces back to its source documents. Know exactly where an entity came from, what changed, and when, with full audit trails.
Governance and access control
Define who sees what and what agents can access. ceadr enforces permissions at the knowledge layer, not just at the document level.
Agent connector SDK
Expose your structured knowledge through a standard API that any AI agent, copilot, or workflow engine can consume, without rebuilding retrieval logic from scratch.

Ready to see it on your stack?

Book a demo

Three steps from scattered to structured.

No large migration projects. No custom pipelines. ceadr connects to your existing sources and structures what is already there.

1
Connect your sources
Link your documents, databases, and internal tools, including Notion, Slack, Google Drive, Salesforce, and more. ceadr ingests them without disrupting your existing workflows.
2
Structure your knowledge
ceadr extracts entities, resolves contradictions, scores document quality, and maps relationships and lineage, building a governed knowledge layer your organization can trust.
3
Deploy to agents
Connect that knowledge layer to your AI agents, copilots, or internal tools via our API. Answers come with full traceability and governance, and writebacks keep your sources current.

See ceadr on your stack

Your AI is only as good as the knowledge behind it.

Stop AI hallucinations at the source. Turn your scattered docs, wikis, and data into knowledge your agents can actually trust.

Or read how it works