Standigm

Workflow-AI drug discovery company whose platforms (BEST, Insight, ASK) support target discovery and generative compound design.

Standigm, founded in 2015 and headquartered in Seoul, South Korea with offices in Cambridge, UK and Cambridge, Massachusetts, provides workflow AI spanning target identification (Standigm ASK and Insight) and generative small-molecule design (Standigm BEST), running an internal pipeline alongside partnerships. No public third-party security certifications were identified at profiling time — request security and validation evidence during evaluation.

Headquarters
Seoul, South Korea
Founded
2015
Deployment options
cloud
Website
https://www.standigm.com

Categories

AI Use Cases

  • Hit Identification & Lead Optimization
  • Target Identification & Validation

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents Standigm 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

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, Target Identification

Company Viability — Partially documented

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

  • How are ASK target hypotheses validated before prioritization?
  • Which therapeutic areas have the strongest BEST generative results?
  • Is the platform licensable, or is engagement partnership-based?
  • What security certifications can be evidenced?