LIFE SCIENCES INTELLIGENCE
The intelligence layer for life sciences.
Cirrusage Life Sciences Intelligence connects scientific evidence, claims, products, studies, regulatory decisions, approved content, and organizational knowledge into a governed intelligence layer for Medical Affairs, Regulatory, and Clinical teams.
Life Sciences Intelligence does not simply search documents. It understands the relationships between the knowledge inside them.
Life Sciences Intelligence is built by the same team behind Cirrusage’s AI strategy, architecture, and engineering services, applied to one industry’s hardest knowledge problem.
Medical, Regulatory, and Clinical intelligence, on one shared foundation.
These are capabilities of a single platform, not three disconnected tools. Every domain reasons over the same governed knowledge.
Medical Affairs Intelligence
- Evidence discovery
- Scientific question answering
- Medical response support
- Claim-to-evidence mapping
- SRD intelligence
- Publication intelligence
- Congress intelligence
Regulatory Intelligence
- Regulatory history
- Submission intelligence
- Label intelligence
- Health-authority interactions
- Regulatory commitments
- Impact analysis
Clinical Intelligence
- Study intelligence
- Endpoint intelligence
- Evidence generation
- Publication relationships
- Cross-study intelligence
- Evidence-gap identification
One knowledge model underneath every domain.
Products, indications, studies, and endpoints connect to the publications and evidence that support them. Evidence resolves into claims. Claims resolve into labels and approved content. Every decision traces back through a regulatory record into organizational memory.
Not another place to search.
THE PLATFORM IS NOT
- Another enterprise search box.
- Another content repository.
- Another generic RAG application.
- Another AI assistant.
- A replacement for your systems of record.
Your AI assistant can find information. Life Sciences Intelligence helps it understand what that information means to your organization.
Copilot, Gemini, Cowork, enterprise agents, and custom applications can consume this intelligence, rather than the platform trying to replace those tools.
The platform creates intelligence, not just another connector.
From fragmented records to governed intelligence.
Connect
Connect existing systems, Veeva, SharePoint, clinical systems, regulatory repositories, literature sources, and enterprise content, without replacing systems of record.
Understand
Transform documents and records into life-sciences knowledge objects: products, indications, studies, endpoints, evidence, claims, labels, submissions, and decisions.
Relate
Build relationships between those objects, Study to Evidence to Claim to Label, Study to Publication to Approved Medical Content. This relationship model is fundamental to the platform.
Govern
Maintain source, version, approval status, permissions, provenance, lineage, and regulatory context.
Reason
Use this intelligence to answer scientific questions, assess evidence, identify conflicting information, understand regulatory history, and analyze downstream impact.
Deliver
Deliver intelligence through the Intelligence Workbench, APIs, MCP, enterprise applications, and AI assistants.
A purpose-built workspace for the people who own scientific and regulatory decisions.
Not a chat window. The Workbench is where Medical, Regulatory, and Clinical teams explore product intelligence, evidence landscapes, claims, studies, publications, labels, regulatory history, approved content, and organizational decisions, with the relationships between them as the centerpiece, not an afterthought.
Ask the Workbench is a supporting conversational capability, not the primary interface.
Deploy Life Sciences Intelligence in your environment.
Your cloud
Deployed inside the cloud environment you already run and already trust, not a shared multi-tenant service outside your perimeter.
Your data boundary
Your evidence, claims, and content stay within the data boundary your organization defines, subject to the residency requirements you already meet.
Your identity and security controls
Access runs through the identity provider and security controls your organization already operates, with full audit trails.
Your approved models
Reasons using the models your organization has already reviewed and approved, not a fixed model your teams have no say in.
Systems of record remain systems of record.
The platform becomes the intelligence layer across them, not a replacement for them.