Selta Square

Korean pharmacovigilance automation company applying AI to safety case processing workflows.

Selta Square, headquartered in Seongnam (Pangyo), South Korea, develops AI-based automation for pharmacovigilance operations, including case processing workflows around established safety databases. The company has been publicly featured by Oracle in connection with automating work around the Argus safety platform. Its footprint is strongest in Asia-Pacific, and global buyers should assess regional support coverage.

Headquarters
Seongnam, South Korea
Deployment options
cloud
Website
https://www.seltasquare.com

Categories

AI Use Cases

  • Case Processing Automation

Vendor Scorecard

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

Mid-Size Biotech, Large Pharma, Pharmacovigilance

Solution Scope — Documented

Adverse Event Detection, Natural Language Processing

Company Viability — Partially documented

Private

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

  • Which case processing steps are automated, and where does human review occur?
  • How does the automation integrate with our safety database version?
  • What quality metrics are reported from production deployments?
  • What support coverage is available outside Asia-Pacific?