Answers
Answers for teams rebuilding organizational memory
These are not API docs. They explain the buyer questions behind Oomira: why companies forget things they already know, how evidence becomes a living world, and how teams can recover context without rebuilding it from scratch.
Recover context from CRMs, emails, docs, directories, and portfolios without rebuilding it by hand.
Reconstruct companies, ecosystems, relationships, and events from sources.
Give products and agents organizational context instead of loose files and snippets.
Start with the question you recognize
Organizational memory is the usable record of what happened, who was involved, what changed, and which evidence supports it.
Company records become stale because people, companies, relationships, products, and public evidence keep changing after a system records them.
Oomira determines what is true by comparing records and sources, keeping dates, preserving older claims, and attaching evidence to each current answer.
Oomira checked YC active company records against fresher public evidence and found hiring changes, pivots, shutdowns, acquisitions, and superseded active records.
Enterprise search finds documents. Organizational memory reconstructs what happened, what changed, and what is true now from those documents and other sources.
Knowledge graphs model entities and relationships. Organizational memory also tracks time, evidence, source conflict, and what is currently trustworthy.
Graphiti is an open-source temporal knowledge graph framework. Oomira is a source-backed organizational memory product for reconstructing company context from records and evidence.
AI needs organizational memory because company questions depend on changing facts, prior decisions, relationships, source evidence, and current context.
Company systems remember what was entered. Oomira reconstructs what happened from records, public evidence, private sources, dates, and source trails.
For teams that want to turn a company, directory, CRM, or ecosystem into an inspectable model.
For teams that need each fact in the world tied to evidence, dates, and reviewable context.
For teams cleaning contacts, accounts, vendors, portfolio companies, or relationship data.
For builders whose agents need source-backed memory over changing business facts.
For teams comparing retrieval, vector search, knowledge graphs, and dated facts.
For anyone who needs roles, teams, reporting lines, advisors, or board seats as of a date.