Openlayer is a platform focused on AI governance and observability, designed to help organizations develop, test, and monitor AI systems throughout their lifecycle. The platform addresses reliability challenges in AI deployment by providing structured testing, evaluation, and production monitoring capabilities. The platform operates in two primary modes: - Development Mode: Enables engineering teams to experiment with prompts, benchmark prompt sets, and evaluate AI model behavior before deployment - Monitoring Mode: Aggregates and analyzes AI outputs at scale, automatically detecting formatting issues, accuracy problems, and regressions in production environments Openlayer integrates directly into CI/CD pipelines and daily engineering workflows, enabling teams to enforce output consistency and compliance guardrails without building custom internal tooling. The platform is particularly focused on large language model (LLM) applications and generative AI outputs. Target customers include AI-driven teams across startups and enterprise organizations. A documented customer use case involves Jericho Security, a cybersecurity company, using Openlayer to maintain >95% compliance rates across AI-generated phishing simulation outputs while reducing prompt iteration cycles by 50%. Openlayer was recognized in the 2026 Gartner Market Guide for AI Evaluation and Observability. The company was founded by Gabriel Bayomi (CEO), Vikas Nair (CPO), and Rishab Ramanathan (CTO), and is backed by investors including partners from Felicis and a16z, as well as notable technology founders.