Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Aqemia
AI drug discovery company combining generative AI with quantum-inspired statistical physics to design novel small molecules.
Aqemia, founded in 2019 and headquartered in Paris, France with a London office, pairs generative AI with a quantum-inspired statistical-physics engine for binding-affinity prediction and de novo small-molecule design, running internal programs alongside pharma partnerships. The company reports roughly 85 employees across multiple sites. No third-party ISO 27001 or SOC 2 attestation was documented on public pages at profiling time; EU data-protection commitments are referenced in its terms — request security evidence for sensitive projects.
- Headquarters
- Paris, France
- Founded
- 2019
- Deployment options
- cloud
- Website
- https://aqemia.com
- https://www.linkedin.com/company/aqemia
Categories
AI Use Cases
- Hit Identification & Lead Optimization
Vendor Scorecard
57% — Partial coverage. Coverage score — how completely Atlas documents Aqemia 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, Drug Discovery, R&D Leadership
Solution Scope — Documented
Molecular Generation
Company Viability — Documented
Series A, 85+ employees, Founded 2019
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
- How is the physics-based affinity engine validated against experimental data?
- Is engagement a software license or a discovery partnership?
- How is IP ownership of generated molecules handled?
- What security documentation can be provided for collaborative projects?