Description
Openlayer offers a comprehensive AI governance and observability platform designed to bring trust and control to AI systems, particularly agentic ones. It empowers organizations to accelerate the evaluation and monitoring of their AI models, from prototype to production, ensuring safe and reliable deployment.
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The platform provides over 100 automated tests and real-time guardrails to proactively prevent common AI risks such as prompt injection, PII leakage, and hallucinations. This allows enterprises to innovate securely, knowing their AI systems are robust and compliant.
Openlayer supports continuous CI/CD validation, enabling teams to push new versions of AI systems with confidence. It offers production monitoring capabilities to observe AI systems in real-time, catching issues within minutes and facilitating rapid fixes. The platform also addresses data quality by automating checks for schema changes, drift, and anomalies, preventing bad data from impacting models.
For automated compliance, Openlayer aligns AI systems with industry standards like ISO/IEC 42001, OWASP, NIST, and the EU AI Act, simplifying the governance process. It integrates natively with popular tools and providers including OpenAI, Anthropic, CoPilot, OTel, and Snowflake, fitting seamlessly into existing workflows.
Trusted by leading AI teams, Openlayer is built for builders, offering SDKs, a CLI, and REST APIs for full customizability. It facilitates collaboration with a shared workspace for team alignment and debugging. The platform's value proposition lies in enhancing accuracy, scalability, and integration, enabling teams to ship AI with confidence.
- CategoryMLOps & Model Deployment
- DeploymentCloud
- PlatformsWeb
Openlayer AI Governance's Core Features
Automated testing for agentic systems with over 100 tests.
Real-time guardrails to prevent prompt injection, PII leakage, and hallucinations.
Continuous CI/CD validation for AI systems.
Production monitoring for real-time observation and issue detection.
Automated data quality checks for schema changes, drift, and anomalies.
Compliance alignment with EU AI Act, NIST, ISO/IEC 42001, and OWASP.
Native integrations with OpenAI, Anthropic, CoPilot, OTel, and Snowflake.
Support for both LLM and traditional ML systems.
Offline evaluation from prototype to production.
Trace and track system requests in real-time.
Annotation of requests with human feedback.
Collaboration features in a shared workspace.
Customizable tests for various scenarios.
How to use Openlayer AI Governance?
Configure: Integrate Openlayer with your AI systems and data pipelines.
Test: Utilize over 100 automated tests for evaluation and validation.
Monitor: Observe production requests in real-time with guardrails.
Govern: Align AI systems with compliance standards.
Collaborate: Work with your team in a shared workspace for debugging and alignment.
Optimize: Use insights from monitoring and testing to improve AI performance.
Openlayer AI Governance's Use Cases
- AI System Monitoring
- AI Governance
- Risk Prevention
- Data Quality Assurance
- CI/CD for AI
- LLM Observability
- ML Model Evaluation
