The cognitive layer for life sciences
The new architecture for real-world evidence generation.
We build systems inside your environment where your scientists and AI think as one. AI does the heavy lifting, your team makes the calls, and every result is traceable, reproducible, and yours.
Built in your environment·Human-approved at every step·Traceable end to end
Evidence is only as strong as what you can explain.
- F—01
Results you can’t reproduce.
When the logic lives in someone’s head or someone’s notebook, reviewers, regulators, and payers can’t follow it.
- F—02
Cohort logic that fails silently.
One wrong criterion changes the population, and nobody notices until it’s too late.
- F—03
Data that has to leave your walls.
Moving sensitive data out of your environment adds risk at every step.
- AI does the heavy lifting
- Your team makes the call
Humans and AI, working as one system.
AI does the heavy lifting. Your team spends its judgment where it matters most, at the decisions that shape the evidence.
- S—01
Study idea
Research question framed with your team. Protocol drafted by AI.
- Human approval
- S—02
Cohort
Criteria drafted by AI, reviewed by your team.
- Human approval
- S—03
Attrition
Every exclusion counted and explained, step by step.
- Human approval
- S—04
Baseline characteristics
Population described and checked against the cohort logic.
- Human approval
- S—05
Analytics
Analyses run, versioned, and ready for review.
Built inside your environment, around your data.
Polarius builds a real-world-evidence study platform inside your own environment, customized to your data. We build the infrastructure. Your team generates the evidence.
- Deployment
- Runs in your environment. Your data stays where it is.
- Data
- Customized to your data sources, starting with claims. EHR · on the roadmap
- Scope
- From study idea to analytic cohort, attrition, baseline characteristics, and analytics.
- Ownership
- Your team owns the system and the results.
Every result, traceable.
- A
Traceable.
Every number links back to the criteria, data, and decisions that produced it.
- B
Reproducible.
Run it again and get the same answer, with the full history recorded.
- C
Yours.
Built inside your environment. Your data, your logic, your results.
- Result
- Analytic cohort, n = 17,830
- Criteria
- Version 3, approved by your team
- Approvals
- 4 of 4 criteria human-approved
- Re-run
- Same inputs, same result
- History
- Every change recorded
- Location
- Inside your environment
- Owner
- Your organization
