Openlayer Reports $14.5M Series A to Help Enterprises Scale AI Capabilities

Openlayer, a unified platform for evaluation and governance of AI systems at the enterprise level, announced a $14.5 million Series A round, led by Race Capital with participation from NXTP, KPN Ventures, Mindset, Y Combinator, Quiet Capital, and Telefonica.

The company will leverage the new investment to “expand enterprise-grade product capabilities and scale go-to-market efforts across key industries and global markets.”

Gabriel Bayomi, CEO and cofounder of Openlayer said:

“The rate of AI adoption is accelerating rapidly, with teams integrating AI into more mission-critical aspects of their business. When enterprises deploy AI, there’s no room for error, especially in customer-facing applications. A single failure can erode trust, disrupt lives, or lead to legal and reputational fallout. That’s why robust evaluation, observability, and governance aren’t optional – they’re foundational to responsible AI deployment.”

In the current AI climate, companies need “the tooling and processes to build and deploy applications reliably.”

Explosive growth is an incredible opportunity, but moving too fast without proper governance can “have serious consequences to a business and the end users of these applications.”

Openlayer gives enterprises a unified platform to “take their AI applications from prototype to production, delivering speed while also ensuring accuracy by spotting and guarding against any weakness.”

Chris McCann, Managing Partner at Race Capital said:

“Openlayer’s development velocity has been among the fastest in our portfolio – growing nearly 5x in 2024 and on pace to match that this year. Their platform is becoming essential for enterprises that need to move fast without compromising reliability in their AI infrastructure.”

Founded by Gabriel Bayomi, Rishab Ramanathan, and Vikas Nair, Openlayer provides a unified platform that “supports AI teams across the entire development lifecycle—from early experimentation to production deployment.”

Designed for both traditional machine learning and emerging GenAI systems, Openlayer enables teams to “address everything from data-quality issues to complex model evaluation and governance, all within a single workflow.”

Openlayer is the unified platform for ML and LLM evaluation, “offering true multimodal testing, real-time monitoring, and automated governance that fits seamlessly into enterprise workflows.”

Built for enterprise teams deploying everything from traditional ML to Generative AI, Openlayer helps organizations “test, monitor, and govern their AI systems with confidence.”

Founded by Gabriel Bayomi, Vikas Nair, and Rishab Ramanathan, Openlayer is “trusted by enterprise companies to operationalize safe, reliable, and responsible AI.”



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