overview
What is Openlayer?
Openlayer is an AI governance platform developed by ex-Apple/Siri ML engineers that enables regulated enterprises to manage and ensure the trustworthiness of their AI systems. It provides a unified solution to test, monitor, and govern various AI models, including large language models (LLMs), retrieval augmented generation (RAG) pipelines, autonomous agents, traditional machine learning models, and multimodal systems.
Openlayer helps organizations bring engineering rigor to AI development and deployment, focusing on Evaluation, Observability, and Governance. Its core functionality includes shortening testing cycles with a library of over 100 built-in and customizable tests for issues such as hallucinations, PII leakage, toxicity, relevance, and bias. The platform integrates with CI/CD pipelines for automated testing on every code push or pull request. For continuous monitoring, Openlayer offers full-stack AI observability, tracing every input and output, model call, and tool action in live production, monitoring quality, cost, latency, and drift. It alerts teams to behavioral changes or performance degradation, with detection of failed production evaluations in less than one hour. Furthermore, Openlayer centralizes model cards, system documentation, and governance records, providing pre-built compliance mappings for frameworks like the EU AI Act, NIST AI RMF, and ISO 42001, which helps enforce policies and generate audit-ready evidence. It also assists security, compliance, and finance teams in enforcing policy, preparing for audits, and tracking AI spend, reducing manual compliance work and gaining visibility into AI risk. The platform protects AI systems in real-time by blocking prompt injection, jailbreaks, PII/PHI leakage, and off-policy outputs, enforcing access and routing policies at the gateway level. Openlayer is particularly suited for regulated industries such as insurance, financial services, telecommunications, and healthcare, where AI failures carry significant financial, security, or regulatory consequences.
