Compliance & Validation — Documented
SOC 2 Type II
Elucidata
Biomedical data harmonization platform (Polly) preparing multi-omics and clinical data for AI-ready analysis.
Elucidata, founded in 2015 and headquartered in San Francisco, California, provides Polly, a platform for harmonizing and curating biomedical data — multi-omics, assay, and clinical datasets — into analysis-ready form for research and machine learning teams, combining software with human-in-the-loop curation. The company raised a $16 million Series A in 2022 and reports SOC 2 Type 2 compliance on its security page. Pricing and delivery mix software and curation services, so scoping the service component is a key part of evaluation.
- Headquarters
- San Francisco, United States
- Founded
- 2015
- Compliance
- SOC 2 Type II
- Deployment options
- cloud
- Website
- https://www.elucidata.io
- https://www.linkedin.com/company/elucidata-corporation
Categories
Vendor Scorecard
57% — Partial coverage. Coverage score — how completely Atlas documents Elucidata across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
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
Biotech Startup, Mid-Size Biotech, Large Pharma, Data Engineer / Architect, Data Management, Drug Discovery
Solution Scope — Not documented by Atlas
Data & AI Infrastructure
Company Viability — Documented
Series A, $16.0M raised, Founded 2015
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 share of a typical engagement is software versus human curation services?
- How is curation quality measured and audited?
- Is the SOC 2 report a completed Type 2 audit, and can we review it?
- Which data modalities are hardest to harmonize on the platform today?