Openlayer

Openlayer is the unified AI governance and observability platform built for enterprise teams deploying complex machine learning and generative AI systems, including modern agentic workflows. It addresses the critical challenge of maintaining trust, security, and reliable performance across the entire AI lifecycle, ensuring you can innovate quickly while maintaining control and compliance from prototype through production.

Key Features

Openlayer provides the necessary infrastructure to evaluate, monitor, and secure your AI systems, whether they are traditional ML models or advanced LLM agents.

🧪 Rigorous Offline Evaluation & Testing

Validate every model iteration before deployment. Openlayer provides over 100 automated, customizable tests to catch regressions, performance drops, and behavioral issues (like LLM hallucinations or bias) across both traditional ML and GenAI systems. By integrating testing directly into your CI/CD pipeline, you ensure only robust, verified versions are pushed to production.

🛡️ Real-Time Observability and Security Guardrails

Monitor production requests instantly to maintain system integrity and user trust. Trace every step of an agent’s decision chain, monitor cost and latency, and deploy real-time guardrails that actively prevent critical security failures such as prompt injection, personally identifiable information (PII) leakage, and harmful outputs before they impact users.

⚙️ Automated Data Quality Monitoring

Ensure the reliability of your AI systems starts with trustworthy data. Connect your data pipelines to automatically test for schema changes, data drift, and anomalies upstream. This critical preventative measure helps you catch bad data early, significantly reducing the risk of downstream model failures and ensuring consistent training and inference quality.

⚖️ Effortless AI Governance and Compliance

Quickly align your AI systems with global regulatory standards like the EU AI Act, NIST, ISO/IEC 42001, and OWASP. Openlayer automates validation checks and provides audit-ready evidence, proving control over your systems and ensuring worry-free compliance without requiring manual, time-intensive documentation efforts.

Use Cases

Openlayer transforms AI development from a risky endeavor into a controlled, iterative process, providing tangible business outcomes.

1. Securing Customer-Facing AI Agents

If you deploy a customer-facing chatbot or agent, you face risks like prompt injection attacks or leakage of sensitive user data. Openlayer's real-time guardrails automatically detect and block malicious inputs, ensuring outputs do not contain PII or fall victim to adversarial prompting, thereby protecting your users and maintaining brand security.

2. Streamlining Model Deployment and Regression Prevention

When improving a complex ML model (e.g., a fraud detection classifier), engineers can use Openlayer’s Git integration and CLI to run comprehensive tests instantly upon commitment ($ openlayer push). If the new version introduces a high false-positive rate or latency spike, the platform flags the failing tests immediately, preventing the regression from ever reaching the live production environment.

3. Achieving Audit Readiness and Regulatory Control

For regulated industries, proving control over AI systems is mandatory. Openlayer maps your model behaviors and performance metrics directly to required compliance frameworks. You can generate a comprehensive audit trail demonstrating that tests for fairness, accuracy, and safety have consistently passed, making internal and external audits straightforward and efficient.

Why Choose Openlayer?

Openlayer provides a competitive advantage by unifying traditionally siloed capabilities—evaluation, monitoring, and governance—into a single, developer-centric platform, optimized for the complexity of modern AI.

• Unified Support for All AI: Unlike platforms focused solely on traditional ML or pure GenAI, Openlayer offers end-to-end support for both ML models and dynamic LLM agentic systems, giving you one consistent control plane for your entire AI portfolio.
• Demonstrated Impact: Openlayer is designed not just for safety, but for velocity. Teams using Openlayer have reported observing a 6x increase in deployment frequency and a sharp increase in throughput, proving you can ship AI safely without sacrificing development speed.
• Developer-First Workflow: The platform integrates natively with your existing tools, offering REST APIs, SDKs, a powerful CLI, and Git integration. This allows builders—the data scientists and ML engineers—to focus on crafting high-quality systems, not managing complex infrastructure.

Conclusion

Openlayer is the essential infrastructure for organizations that need to move beyond experimental AI and deploy secure, reliable, and compliant systems at scale. By providing deep visibility and automated control across the entire lifecycle, Openlayer allows you to stop guessing and start shipping AI with confidence.