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What is Openlayer?

Openlayer is an AI governance and observability platform that helps enterprises evaluate, monitor, and control both traditional ML and generative AI systems. The platform is designed for modern AI environments that include LLM applications, RAG pipelines, agentic systems, and complex multi-step workflows. Openlayer provides more than 100 automated tests for evaluating model quality, safety, reliability, data quality, performance, and policy compliance. Teams can use these tests to automate comprehensive model evaluations and identify issues before AI systems affect users, customers, or business operations. The platform’s observability features provide full traceability across prompts, retrieved context, agents, tool usage, intermediate steps, model outputs, and workflow decisions. Real-time guardrails help prevent prompt injections, PII leakage, biased outputs, toxicity, hallucinations, and other AI safety risks. Openlayer supports teams across the full AI lifecycle, from early experimentation and validation to production monitoring and governance reporting. Its governance automation capabilities help organizations align AI development and deployment processes with responsible AI frameworks such as NIST and the EU AI Act. The platform is built for enterprises that need to innovate with AI while maintaining security, compliance, explainability, and operational oversight. Openlayer also helps teams manage risk across both classic machine learning models and newer GenAI systems, giving organizations a unified approach to AI quality and trust. By combining automated testing, observability, real-time protection, traceability, and governance workflows, Openlayer enables safer, more reliable, and more responsible AI operations at scale.

What is Earthly Lunar?

Earthly Lunar helps platform and engineering leaders keep software delivery consistent as teams, repositories, and AI-assisted code volume grow. Instead of asking each team to maintain its own checklist or CI template, Lunar collects development lifecycle signals centrally from repositories and CI/CD systems. It creates a structured picture of each service's tests, dependencies, build and deployment practices, then evaluates organization-wide engineering guardrails against that picture. Leaders can see which standards are being followed, where exceptions appear, and how adoption changes across teams. Platform teams can start with monitoring, add pull request feedback, and graduate selected rules to blocking enforcement. Prebuilt and custom guardrails cover testing, quality, operational readiness, infrastructure, and compliance requirements. This approach gives teams flexibility in their tools while applying the same expectations to human-written and AI-generated code. The resulting enforcement history also supports audit preparation and post-incident follow-through.

Media

Media

Integrations Supported

Claude Code
Gemini
GitHub
OpenAI
Slack
IBM Watson Orchestrate
Microsoft 365 Copilot
Microsoft Agent Framework
Microsoft Copilot Studio
OpenAI Agents SDK
OpenTelemetry
Portkey
Salesforce Agentforce
Semantic Kernel

Integrations Supported

Claude Code
Gemini
GitHub
OpenAI
Slack
CodeRabbit
Cortex
Linear
Node.js
Rust
SonarQube Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Contact Earthly to discuss your requirements and receive current pricing for Lunar.

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Openlayer

Date Founded

2021

Company Location

United States

Company Website

www.openlayer.com

Company Facts

Organization Name

Earthly Lunar

Date Founded

2020

Company Location

United States

Company Website

earthly.dev/

Categories and Features

AI Gateways

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Observability

Not specified

AI Usage Control

Not specified

LLM Evaluation

Not specified

LLM Routers

Not specified

Categories and Features

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