Paradigm4

Scientific data-management company whose REVEAL platform, built on the SciDB engine, powers large-scale multimodal biomedical analytics.

Paradigm4, founded in 2009 (co-founded by database pioneer Michael Stonebraker) and headquartered in Waltham, Massachusetts, provides REVEAL applications running on its SciDB computational database to integrate and analyze large multimodal life-sciences datasets — genomics, imaging, clinical, and real-world data — for pharma and biobank research. No third-party security certifications were surfaced on public pages at profiling time — request security documentation for sensitive data.

Headquarters
Waltham, United States
Founded
2009
Deployment options
cloud, on-premise, private-cloud
Website
https://www.paradigm4.com
LinkedIn
https://www.linkedin.com/company/paradigm4

Categories

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents Paradigm4 across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Not documented by Atlas

Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?

Deployment & Hosting — Documented

cloud, on premise, private cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Mid-Size Biotech, Large Pharma, Top 20 Pharma, Data Management, IT / Digital, R&D Leadership

Solution Scope — Documented

Biomarker Discovery, Real-World Evidence

Company Viability — Partially documented

Founded 2009

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • What is the scaling profile of SciDB for our dataset sizes?
  • Which REVEAL applications match our analytical use cases?
  • What security certifications can be evidenced?
  • What does deployment and data onboarding involve?