# Ceadr > Ceadr maps what your enterprise has written, structures it into a knowledge base your AI agents can query, and writes fixes back into Notion, Drive, and Confluence as your teams keep working. ## What Ceadr is Ceadr is knowledge infrastructure for AI. It turns scattered company knowledge into usable context for AI agents. The pitch on the landing page: organize documents, decisions, and internal know how into a structured knowledge layer your team and agents can actually rely on. Ceadr sits between your siloed internal sources and the AI agents that need to rely on them, structuring, resolving, and syncing everything in between. The closing line of the page: your AI is only as good as the knowledge behind it. ## How it works Ceadr runs a four stage flow: Sources to Pipeline to Knowledge Base to Agent. 1. Data sources. Ceadr ingests from the systems your company already uses. The landing page mockup shows Salesforce CRM records, Slack channels (for example #eng-decisions), Google Drive documents (revenue reports, contract PDFs), and live API feeds (for example a weather API used for demand and supply planning). 2. Extract and pipeline. All sources are ingested, normalised, and conflict resolved, ready for ontology mapping. When two sources disagree (for example two conflicting ownership claims for an account in Slack), Ceadr does not just surface the contradiction. The AI arbitrates and produces a single, governed truth. 3. Knowledge base. Ceadr builds typed entities with lineage. The mockup shows Customers (312 entities, structured from Salesforce and contracts, with renewal dates, ARR, and owners mapped), Inventory (1,840 SKUs from ERP and Drive, with stock levels, reorder points, and lead times), Suppliers (47, with lead times, SLAs, and contact owners), Plant (6 sites, with capacity, shift schedules, output rates), and Weather (real time conditions and 14 day forecast by region, linked to demand and supply plan nodes). 4. Agent. AI agents query the knowledge layer through a standard API. Answers come back with full traceability, citations to the source documents, and governance applied at the knowledge layer. A worked example on the page: an agent asks "What is the renewal status and owner for Acme Corp, and has the contract value changed this quarter?" Ceadr replies that Acme Corp is up for renewal on Dec 15, 2024, the owner is Sarah Kim (resolved from 2 conflicting Slack mentions), ARR is $2.4M (up 12% versus Q2), and contract terms were last updated Oct 3. The answer cites the Q3 report, the #eng-decisions Slack channel, and Salesforce. A writeback then syncs the answer back to the CRM. ## Components The landing page lists six components of the platform. - 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 and 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. ## Get started 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 the API. Answers come with full traceability and governance, and writebacks keep your sources current. ## FAQ ### What is Ceadr? Ceadr is a knowledge infrastructure layer for AI. It maps what your enterprise has written, structures documents, decisions, and internal know how into a knowledge base your AI agents can query, and keeps it in sync as your teams keep working. ### What sources does Ceadr connect to? Ceadr ingests documents, databases, and internal tools. The landing page lists Notion, Slack, Google Drive, Salesforce, and Confluence among the supported sources. Ingestion happens without disrupting your existing workflows. ### How does Ceadr structure my knowledge? Ceadr extracts entities, resolves contradictions, scores document quality, and maps relationships and lineage, building a governed knowledge layer. When conflicting information exists across sources, the AI arbitrates and produces a single, governed truth. ### How do AI agents query Ceadr? Ceadr exposes structured knowledge through a standard API that any AI agent, copilot, or workflow engine can consume. Answers come back with full traceability, citations to the source documents, and governance applied at the knowledge layer. ### Does Ceadr keep my source systems up to date? Yes. 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, so Notion, Drive, Confluence, and your CRM stay current. ### How does Ceadr handle governance and access control? Ceadr enforces permissions at the knowledge layer, not just at the document level. You define who sees what and what agents can access, and every structured fact traces back to its source documents with full audit trails. ## About - Brand: Ceadr. - Site: https://ceadr.ai. - Founders: Julian Arida and Elena Haddad. - Built in London. ## Related documents - Index: https://ceadr.ai/llms.txt - API reference (markdown): https://ceadr.ai/api-docs/llms.txt - API reference (HTML): https://ceadr.ai/api-docs