| Key features | - User-owned memory in Markdown and YAML
- Eight modules: Memory, Flow, Black Hole, Minutes, Codex, Prism, Audio, Facet
- Multi-step AI tasks with human approval checkpoints
- Meeting transcription sealed into memory
- Markdown-to-presentation generation with Prism
- Audio generation from notes
- Visual asset library with provenance tracking
- Private domain boundaries to exclude content from cloud AI
- Project mode to bind files and conversations into sealed context
- Compatible with existing Obsidian vaults without migration
| - Specialist agents ready to deploy for cohort building, guided analysis, and access provisioning
- Build and deploy custom agents connected to data, tools, and domain-specific workflows
- Data harmonization across molecular, clinical, imaging, and real-world data
- Role-based access control with audit trails for compliance
- Bring-your-own-cloud deployment keeps data in customer's AWS environment
- Partners access data through natural language queries without data movement
- Support for Python, R, and Nextflow analysis tools
- HIPAA, IRB, and BAA ready architecture
- SOC 2, GDPR, TX-RAMP, and NIST SP 800-171 compliance
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| What makes it different | - Memory and data remain on your device and under your ownership, never used for model training
- Files stay readable as plain Markdown and YAML with any text editor; no vendor lock-in possible
- Works with existing Obsidian vaults natively without import or conversion
- Private-domain content stays out of cloud AI context automatically
- AI recall includes sources so you can see what answers are based on
| - Partners get self-serve answers in minutes instead of weeks of manual data coordination
- Data stays in your cloud while agents deliver answers across organizational boundaries
- Governance and compliance built into every agent action, not added afterward
- Go live from deal signing to active data access in days instead of months
- Embedded bioinformatics reduces time to customer insights from weeks to the same day
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Manifold