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Pacific AI: Healthcare AI Governance, Validation & Monitoring

Pacific AI Corp. · Cybersecurity & IT

ContainersNo attestation published

Certification per Microsoft Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 9 captures on record

User ratingNot rated0 reviews on the listing
Runs onContainersContainer
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Pacific AI is the AI governance platform purpose-built for healthcare. One platform covers the full lifecycle of clinical AI, from policy to pre-release testing to production monitoring, so you do not stitch together three or four separate tools to govern, validate, and monitor the AI you build and buy.

Most governance tools give you forms and templates, then leave the analysis to your team. Pacific AI runs the work itself: it automatically tests models before release, monitors them in production, and drafts the model cards, vendor risk scores, and remediation controls that governance calls for. Your team reviews and approves, working from first drafts instead of blank templates. The platform scales with however much AI you run, from a single pilot to hundreds of systems in production.

Show the rest of the publisher’s description (23 more lines)

Pacific AI is CHAI-certified, one of a small number of Certified Coalition for Health AI (CHAI) Assurance Resource Providers. Platform Core is free: unlimited AI systems, users, vendors, policies, documents, tests, and audit trails at no cost. You pay per credit only for AI-enabled governance actions, such as automated model card generation, vendor risk scoring, and compliance evidence collection. No contracts, no seat minimums. Billed through your Azure account.

You deploy Pacific AI inside your own Azure account, with the platform running in your VPC. You own the keys and the data, and nothing is transmitted to Pacific AI or any third party.

Key capabilities:

  • Governor.Centralized AI registry that tracks every system across its full lifecycle, from proposal and analysis to operations and retirement, with risk assessment, vendor risk scoring, policy management, automated model card generation, and a full audit trail. The Policy Suite covers 250+ laws, regulations, and standards, refreshed quarterly, and maps to NIST AI RMF, ISO/IEC 42001, HHS HTI-1, ACA Section 1557, and EU AI Act requirements.
  • Gatekeeper. Pre-release CI/CD testing and automated release-gating for generative, agentic, and traditional ML systems. Runs MedHELM benchmarks, developed with Stanford CRFM, for clinical usefulness, usability, and efficacy, and automatically tests for fairness, equity, safety, robustness, and clinical accuracy before any model reaches production
  • Guardian. Continuous, automated post-deployment monitoring for accuracy drift, fairness drift, safety degradation, and behavioral change across production LLMs and clinical AI systems.

Clinical and safety categories Pacific AI covers 10 clinical and safety categories, spanning 60+ test suites. Every category runs both as a pre-release test in Gatekeeper and as a continuous drift monitor in Guardian:

  • Clinical Decision Support: appropriateness and safety of AI-generated clinical recommendations
  • Clinical Note Generation: accuracy, completeness, and hallucination rate of ambient and generative documentation
  • Patient Communication & Education: clarity, safety, and cultural appropriateness of AI-generated patient-facing content
  • Medical Research Assistance: accuracy of literature synthesis, citation grounding, and evidence summarization
  • Administrative & Workflow Support: accuracy and reliability of AI supporting administrative and operational tasks, such as coding, prior authorization, scheduling, and intake
  • Social & Demographic Biases: disparities by race, gender, age, and socioeconomic status in model outputs, across 11 sociodemographic dimensions
  • Medical Cognitive Biases: systematic clinical reasoning errors, such as anchoring and confirmation bias, reflected in model outputs
  • Robustness: performance stability under input variation, edge cases, and distribution shift
  • General Red Teaming: adversarial probing for harmful, unsafe, or out-of-policy outputs
  • Medical Red Teaming: healthcare-specific adversarial testing, including clinical misinformation, unsafe medication guidance, and diagnostic errors

Resources:

  • Pacific AI Website
  • Documentation
  • MedHELM
  • LangTest
  • Contact Pacific AI

Preview

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Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment

CompanyPacific AIAutomated

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource
License TermsLicense TermsSource

Publisher resources

1 link
Supportpacific.aiSource

Linked repositories

RepositoriesUnknownUnknown

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Pricing
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Delivery
Container
https://pacific.ai/contact-us/
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