| Key features | - 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
| - Detect and score reliability of AI agent runs
- Route weak runs to subject matter experts
- Expert review and validation workflow
- Write validated fixes into governed memory
- Microsoft 365 and Azure integration
- Support for multiple agent frameworks
- Agentic Context Engineering (ACE) framework
- Deployment as SaaS, private cloud, or on-premise
- Knowledge builder and governed memory ingestion
- SOC 2 Type II, GDPR, ISO 27001, and ISO 9001 compliant
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| What makes it different | - 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
| - Continuous improvement without model retraining
- Captures and reuses expert knowledge as governed memory
- Enterprise-grade security and compliance
- Works with existing AI systems without replacement
- Human-in-the-loop validation for every critical decision
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Manifold