Enterprise agent platform for life sciences that enables governed data sharing and self-serve access across organizational boundaries
AI assistant for workplace questions
Stage
Not given
Not given
Founded
Not given
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Based in
US
US
Pricing model
Contact for pricing
Freemium
Pricing
Not given
Team Plan: $12 per seat per month or $10 per seat per month (paid yearly). Business Plan: $15 per seat per month or $12 per seat per month (paid yearly) with minimum 10 seats. Enterprise Plan: Contact us.
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
Real-time search across all company apps
Natural language question understanding
Source citations and knowledge base references
Custom AI bot creation for specific use cases
Slack and browser integration
Permission-based access control
Instant setup without data indexing
Multilingual support
Multiple LLM model options
Wide integration ecosystem
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
No data duplication or indexing required for instant setup and maximum security
Customizable AI for every team and use case
Enterprise-grade security with minimal data handling