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Domino SCE (Statistical Computing Environment)

MLOps and deployment · by Domino Data Lab

Domino's Statistical Computing Environment (SCE) unifies SAS, R, and other modern tools for life sciences regulatory submissions.

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What it does

Domino's Statistical Computing Environment (SCE) unifies SAS, R, and other modern tools for life sciences regulatory submissions. Provides audit-ready traceability in a 21 CFR Part 11 compliant environment with built-in QC, workflow automation, and flexible deployment across cloud, hybrid, or on-premises.

  • Enterprise AI platform development and operations
  • Model development and MLOps
  • Collaboration and governance for data science teams
  • Statistical computing environments for life sciences regulatory submissions
  • Model risk management
Category
MLOps and deployment
Built for
Healthcare and life sciences, Financial services and insurance
Users
Global enterprises in highly regulated industries, Life sciences / pharmaceutical companies, Financial services and banking, Public sector and 1 more
Public API
Not offered
Deployment
Self-hosted, On-premises

Not yet disclosed: platforms, languages and support channels.

Pricing

  • CustomCustom
    • Quoted by their sales team

Prices as published by Domino Data Lab, checked Oct 2026.

Security and compliance

As reported by Domino Data Lab. Ask for audit reports before you buy.

  • ISO 9001Certified
  • ISO/IEC 27001Certified
  • SOC 2Certified
  • HIPAACertified
  • Single-tenant isolation in customer cloud or on-premises
  • Third-party penetration testing
  • Continuous vulnerability scanning
  • SIEM integration with around-the-clock monitoring
  • SAST and DAST testing
  • Code reviews

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