Stop losing critical architectural decisions discussed in 45-minute meetings. Memora extracts entities, action items, and rationale directly into your company knowledge graph.
Teams spend 15+ hours per week in meetings making critical technical and product decisions. Standard AI transcript tools produce flat text summaries stored in isolated drive folders that nobody reads 3 weeks later.
Memora automatically parses meeting audio/video streams, identifies technical entities (microservices, APIs, customer names), and links key decisions to existing GitHub commits and Jira tickets.
Traceable evidence paths linking daily SaaS signals into grounded AI answers.
Extracts entities, links PRs to discussions, and builds a living topological graph of decisions.
Direct answers verified against exact GitHub commits and Slack message IDs.
Automatic entity extraction linking meeting discussions to codebase components.
Traceable decision records answering "Why did we decide to deprecate Service X in March?"
Zero manual documentation overhead for engineering and product managers.
Instant search across 1000s of hours of past team recordings with exact timestamps.
Memora uses topological entity extraction to map spoken keywords (e.g. "PR 142", "OAuth refactor") directly to live repository commits and Jira tickets.
Memora seamlessly integrates with Google Meet, Zoom, Microsoft Teams, and Slack Huddles.
Connect Slack, GitHub, Jira, and Google Workspace in under 10 minutes.
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