Openlayer provides an AI governance and observability platform for both ML and LLM systems. It accelerates evaluation with automated tests and deploys real-time guardrails to prevent issues like prompt injection and PII leakage. The platform ensures secure enterprise innovation by monitoring production requests and aligning AI systems with compliance standards.
Funding
$4.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.






Founders
Product
Problem
Ensuring the performance and reliability of machine learning models in production environments is challenging, often requiring significant time and resources to identify and resolve issues. Traditional methods lack real-time capabilities for testing, monitoring, and versioning AI models, hindering the ability to maintain high-quality AI systems.
Solution
Openlayer provides an evaluation workspace designed for real-time testing, monitoring, and versioning of AI models. The platform facilitates a smooth transition from prototype to production by offering ongoing testing and monitoring capabilities. It allows teams to observe AI systems in real-time, catch issues in production, and implement fixes rapidly. Openlayer integrates with existing workflows through REST APIs, CLI tools, Git integration, and SDKs, enabling users to craft high-quality AI systems with confidence.
Target Audience
Openlayer is designed for AI teams, ranging from startups to enterprises, focused on developing and deploying high-quality AI systems.
Features
- Real-time monitoring of AI systems to catch and fix issues in production
- Customizable tests to systematically track progress and prevent regressions
- Observability features including tracing, tracking, alerts, and annotations
- Integrations with Git, SDKs, and REST APIs for seamless workflow integration
- Pre-configured templates for common AI patterns to accelerate setup
- Collaboration tools for team members to assign roles, define tests, and debug issues together
- Support for various AI patterns including PDF extraction, question-answering retrieval, and chatbot creation