Pacific AI: AI Governance and Monitoring Software

Key Features

• Unified Policy Framework

  A collection of policies covering over 250 global and healthcare standards to support regulatory compliance.

• Governor Registry

  A centralized registry for tracking AI systems, vendors, and risks, supporting automated model card generation.

• Guardian Monitoring

  Testing and monitoring pipelines for Generative and Agentic AI to detect bias, drift, and safety issues in real time.

• Gatekeeper

  Automated testing for LLM and ML models that can function as a release gate within CI/CD pipelines.

• Clinical Benchmarking

  Uses MedHELM and LangTest to measure the accuracy, bias, and robustness of language models in clinical tasks.

• CHAI-Certified Validation

  Provides validation as a Certified Coalition for Health AI (CHAI) Assurance Resource Provider.

Use Cases

• Healthcare AI Validation

  Validating AI models against health regulations and clinical benchmarks to support safety.

• Bias and Safety Monitoring

  Monitoring generative AI systems in production to detect bias or performance drift.

• Audit Readiness

  Using a registry to maintain model cards and risk documentation for regulatory audits.

• CI/CD Safety Gates

  Integrating automated robustness and accuracy tests into the development pipeline.

Integrations

• CI/CD integration

FAQ

What does Pacific AI do?

It provides a software platform for AI governance, including a policy suite for regulatory compliance, a registry for risk management, and tools for testing and monitoring AI models for bias and safety.

Is Pacific AI designed for healthcare companies?

Yes, it is designed for healthcare developers, providers, and payers, offering clinical LLM benchmarking and alignment with healthcare-specific standards.

How does the platform handle AI model testing?

It uses tools like Guardian and Gatekeeper to run automated tests for accuracy, bias, and robustness, which can be integrated into a company's CI/CD pipeline.