Openlayer provides a unified platform for evaluation, observability, and governance of AI systems, supporting both traditional machine learning and generative AI. The platform offers multimodal testing, real-time monitoring, and automated governance within a single workflow and is built for collaboration, including non-technical stakeholders. Openlayer is used to detect data-quality issues, perform complex model evaluation, and operationalize safe, reliable AI in enterprise settings. The company says its development velocity is rapid, having grown nearly 5x in 2024 and on pace to match that growth this year. Openlayer was founded by Gabriel Bayomi, Rishab Ramanathan, and Vikas Nair and is based in San Francisco. The company plans to use new capital to expand enterprise-grade product capabilities and scale go-to-market efforts across key industries and global markets. Openlayer provides a platform for testing and validating machine learning models, enabling teams to verify dataset integrity, surface discrepancies between training and production data, and ensure models meet performance benchmarks. The platform also generates synthetic data for edge-case detection and adversarial testing, tracks versions of models and datasets, and explains model behavior by surfacing which features influenced predictions. Startups through Fortune 500 companies are using Openlayer to uncover unexpected mistakes and diagnose failures. The founding team includes former Apple ML engineers, an ex-Amazon engineer, and a Harvard Design Engineering graduate. Openlayer was named to CB Insights' AI 100 in May 2022. The company plans to use the seed funding to expand its workforce, enhance platform functionality to handle additional ML tasks, build more sophisticated guardrails, and ultimately automate parts of the error-detection and fixing process.

Total raised

$19M

Funding rounds

2

Latest round

Series A

Latest activity

May 2025