Put AI to work across healthcare,
with confidence in every outcome.
Openlayer helps healthcare and life-sciences teams evaluate, monitor, and govern AI systems with safety testing, PHI guardrails, and automated compliance, from prototype to production.
See what it can do
81%
of physicians use AI in their professional work
Source: American Medical Association, 2026
84%
of health insurers use AI or machine learning
Source: National Association of Insurance Commissioners, 2025
48%
of health systems are not operationally ready to implement AI
Source: Guidehouse and HIMSS, 2026
Healthcare AI is scaling faster than the safeguards around it.
AI is already processing claims, supporting authorization, improving coding, assisting clinicians, and powering patient and provider operations.
But most healthcare organizations lack one consistent way to test accuracy, enforce policy, protect sensitive data, and monitor how every AI system behaves in production.
Accuracy varies across workflows and populations.
AI can perform well in testing but produce inaccurate or inconsistent results across claims, conditions, patient populations, and real-world use cases.
PII and PHI can surface in model inputs and outputs.
Sensitive information can pass through prompts, retrieval data, tool calls, and responses without consistent controls to detect or block exposure.
Safeguards do not follow AI into production.
Teams lack continuous visibility into how live systems behave, whether policies are being enforced, and when accuracy, safety, or compliance begins to drift.
Scaling healthcare AI requires a higher standard of trust.
HIPAA governs how sensitive health information is protected. HTI-1 introduces transparency and risk-management requirements for certain predictive decision-support systems. FDA oversight, the EU AI Act, and emerging state laws add further obligations for AI used in regulated healthcare environments.
Healthcare organizations now need continuous evidence that every AI system remains accurate, safe, compliant, and protected as models, data, and workflows change.
EU AI Act
ISO/IEC 42001
NIST AI RMF
OSFI E-23
Safety, accuracy, and compliance
in one platform
Openlayer applies the same standards from evaluation through production, with PII and PHI protection, live policy enforcement, and evidence generated automatically.
Claims processing
Test extraction, classification, and routing accuracy. Monitor exceptions, sensitive-data exposure, and cost in production.
Prior authorization
Evaluate document extraction and workflow consistency across diagnoses, plans, and authorization types.
Medical coding and denials
Test suggested codes against source documentation and monitor denial classification, appeals, and resolution.
Patient operations
Monitor patient chat, scheduling, intake, navigation, and support agents for accuracy, appropriate escalation, task completion, and PII or PHI exposure.
Provider operations
Evaluate AI used in credentialing, provider data management, network operations, documentation, and clinician support.
Clinical AI
Test documentation assistants, clinical copilots, and decision-support systems for accuracy, safety, and performance across patient populations.
“Openlayer gives us a consistent way to evaluate and monitor AI across healthcare workflows. We can move faster while maintaining the accuracy, privacy, and oversight our industry requires.”
Healthcare Leader
Named in the 2026 Gartner Market Guide for AI Evaluation and Observability Platforms.
Backed by Y Combinator and Race Capital. SOC 2 Type II and GDPR compliant.
Air-gapped and private-VPC deployment for sensitive financial data.
Regular third-party penetration testing, daily code review, static analysis, and dependency scanning.
Advance healthcare AI with confidence.
Keep every system accurate, protected, and compliant from development through production.