One intelligence foundation. Domain-specific applications.
Knowledge-intensive, regulated industries share the same hard problem: decisions that depend on evidence spread across many sources, and a bar for traceability that general-purpose AI can't meet. We build industry solutions on CIP's reusable capabilities, one domain at a time.
Reuse the engine. Specialize the domain.
- 01
Shared foundation
Context, governed memory, permission-trimmed retrieval and provenance come from CIP, not rebuilt per industry.
- 02
Domain layer
Each solution adds the domain's content types, workflows, review steps and vocabulary.
- 03
Domain governance
Industry-specific controls, such as medical review before an answer is used, sit on top of the platform's own.
FIRST STRATEGIC INITIATIVE
Cirrusage Life Sciences Intelligence
An enterprise AI product in development for pharmaceutical Medical Affairs: answers grounded in your approved scientific content, with every statement traced to its source and every answer reviewed before it is used.
- Status
- In development
- Initial focus
- Medical Affairs
- Directions we are exploring
- Scientific knowledge intelligence, medical information workflows, evidence synthesis, and other knowledge-intensive life sciences operations
- Seeking
- Medical Affairs design partners
Where our engineering work points next.
We engineer AI systems in these industries today. They are areas we are exploring for future solutions, not products in development.
Banking
Core systems built over decades, regulatory reporting that can't tolerate ambiguity, and an AI mandate from the board that has to survive an examiner's questions, not just a demo.
Our engineering work in banking →Insurance
Underwriting and claims decisions that depend on data spread across legacy policy systems, a growing pressure to apply AI to pricing and claims, and regulators who will ask how the model was validated.
Our engineering work in insurance →Healthcare
Clinical, operational, and financial data that rarely sits in one place, an urgent interest in AI for both care and administration, and a patient-safety bar that leaves no room for a model no one can explain.
Our engineering work in healthcare →
Have a domain problem that keeps recurring?
The best industry solutions start as a problem several organizations share. If your teams spend their time finding and verifying evidence, we would like to hear about it.