Exact evidence
Answers include quotations and locators tied to immutable source versions.
Everifact
By Gander
Discuss Everifact
Private institutional memory
Everifact gives high-trust teams a private, source-grounded memory across documents, notes, decisions, systems, and correspondence.
Beyond chat with documents
Everifact preserves immutable source versions, builds a retrieval index, and connects evidence-derived claims without silently rewriting the record. Teams can ask questions, inspect the supporting material, and see how an answer changed over time.
Important conflicts and uncertain claims enter a human review queue. The result is institutional memory that can be checked, corrected, and trusted.
Answers include quotations and locators tied to immutable source versions.
Distinguish what is current from what was once true, contradicted, or superseded.
Route consequential, conflicting, and low-confidence claims to named reviewers.
Keep source objects, embeddings, retrieval indexes, and graph data inside the customer data plane.
Search, chat, review, and publish explicit outputs without forcing teams to abandon their vaults.
Use approved local or external models through an OpenAI-compatible gateway abstraction.
Evidence lifecycle
Every generated assertion keeps its lineage. Retrieval combines semantic and lexical signals, while authorization is enforced before evidence is returned or sent to an approved model route.
Store the immutable original, remote identity, access rules, and exact source version.
Parse structure, index evidence, and extract candidate claims, entities, events, and decisions.
Surface conflicts and uncertainty for human review without changing the source document.
Return an explicit answer or abstention with supporting excerpts and versioned citations.
Deployment and boundaries
Everifact is authoritative for sources, versions, claims, citations, and timelines. AgentKnow governs agent and runtime operations. AgentKnow may consume Everifact through governed REST or read-only MCP interfaces, but neither product is required to run the other.
Each customer receives an isolated data plane. Embeddings and reranking are local by default; only retrieved excerpts may use a customer-approved external model route.
A customer-isolated data plane operated with explicit model and access policies.
Deploy inside customer-controlled infrastructure where residency and network boundaries require it.
Expose governed search, evidence answers, sources, and timelines to approved applications and agents.
Start with Obsidian and files, then extend to Microsoft, Google, and customer sources.
Private knowledge conversations
Tell us about the knowledge sources, deployment boundaries, review workflows, and evidence requirements that matter to your team.