Tana
Free tierAn agentic meeting platform where AI agents do real work during native video calls
Key strengths
Tana — Technical Use Cases
1. Real-Time Issue Filing During Engineering Syncs
During a sprint review or incident call, Tana agents can detect action items and file issues directly to Linear, Jira, or GitHub — with context from the conversation — before the call ends. No post-meeting manual triage required.
2. CRM Updates Without Leaving the Call
Sales and customer success teams can have Tana write back to HubSpot in real time during discovery or QBR calls — updating deal stages, logging notes, or creating contacts as the conversation unfolds.
3. Agentic Pipelines via MCP + Public API
Developers can wire Tana into broader agentic workflows using its MCP support and public API — for example, triggering downstream agents in Claude Code, Codex, or Cursor based on decisions made during a product meeting.
4. Cross-Meeting Knowledge Retrieval
The shared knowledge graph across all team meetings enables semantic querying of past decisions, commitments, and context — useful for building internal retrieval-augmented generation (RAG) pipelines or audit trails.
5. Multi-Model Workflow Orchestration
Teams can configure Tana to route tasks across Claude, Gemini, and OpenAI models depending on the task type — e.g., using one model for summarization and another for code-related action items.
6. Compliant AI Deployment for Enterprise
For teams with strict data governance requirements, Tana's SOC 2 Type 2 / GDPR posture and no-training-on-data policy make it a viable choice for regulated or security-conscious environments.
