OpenLayer
Ensure Trust and Control in AI Systems
OpenLayer accelerates AI governance and observability, providing automated testing and real-time guardrails for secure enterprise innovation and compliance.
What is OpenLayer?
OpenLayer is a cutting-edge AI governance and observability platform designed to enhance the trust and control of AI systems. Its primary purpose is to accelerate the evaluation of agentic systems by implementing over 100 automated tests and real-time guardrails that mitigate risks such as prompt injection, PII leakage, and hallucinations. This solution is essential for enterprises aiming to innovate securely and ensure compliance with industry standards. The platform offers significant benefits, including real-time monitoring of AI systems, automated checks for data quality, and effortless alignment with compliance standards like ISO/IEC 42001 and NIST. By leveraging OpenLayer, users can catch issues in production swiftly, maintain high data integrity, and transition smoothly from prototype to production, making it an indispensable tool for AI teams focused on delivering reliable and compliant solutions.
Key Features
- 100+ automated tests for AI safety
- Real-time guardrails for observability
- Automated data quality checks
- Compliance with industry standards
- Seamless transition from prototype to production
- Customizable testing scenarios
Who is it for?
- AI development teams
- Enterprise compliance officers
- Data scientists
- Risk management professionals
- AI governance specialists
Use Cases
1. Ensuring AI Compliance
OpenLayer helps organizations align their AI systems with compliance regulations such as the EU AI Act and ISO/IEC 42001. By automating governance checks, businesses can ensure they meet legal standards effortlessly.
2. Real-time AI Monitoring
Utilize OpenLayer to observe AI system performance in real-time, identifying and resolving issues like prompt injection or PII leakage within minutes. This capability is crucial for maintaining operational integrity.
3. Data Quality Assurance
Automatically test data pipelines for schema changes, drift, and anomalies to ensure that high-quality data feeds into AI models. OpenLayer’s data quality features help prevent bad data from impacting outcomes.
4. Custom Testing Scenarios
Leverage OpenLayer’s expansive set of customizable tests to systematically evaluate AI systems under various scenarios, allowing teams to make informed decisions and avoid regressions during development.
Pricing Plans
Pricing information not available on website. Please visit the official website for current pricing.
Frequently Asked Questions
1. What types of tests does OpenLayer provide?
OpenLayer offers over 100 automated tests designed to enhance the safety and reliability of AI systems. These tests address issues like prompt injection, data quality, and compliance with various industry standards.
2. How does OpenLayer ensure data quality?
OpenLayer connects with data pipelines to automatically test for schema changes, data drift, and anomalies. This proactive approach helps catch potentially harmful data before it reaches AI models.
3. Can OpenLayer help with compliance requirements?
Yes, OpenLayer aligns AI systems with compliance standards such as ISO/IEC 42001 and the EU AI Act, making governance effortless for organizations aiming to meet regulatory requirements.
4. What industries can benefit from OpenLayer?
OpenLayer is designed for a wide range of industries that utilize AI, including technology, finance, healthcare, and any sector focused on safe and compliant AI deployment.
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