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    Home»Data Science»Openlayer Raises $14.5 Million Series A
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    Openlayer Raises $14.5 Million Series A

    Team_AIBS NewsBy Team_AIBS NewsMay 14, 2025No Comments3 Mins Read
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    San Francisco – Might 14, 2025 – At present, Openlayer, a platform for analysis and governance of AI methods on the enterprise degree, introduced a $14.5 million Collection A spherical led by Race Capital with participation from NXTP, KPN Ventures, Mindset, Y Combinator, Quiet Capital, and Telefonica. The corporate will focus the brand new funding to broaden enterprise-grade product capabilities and scale go-to-market efforts throughout key industries and world markets.

    “The speed of AI adoption is accelerating quickly, with groups integrating AI into extra mission-critical features of their enterprise,” stated Gabriel Bayomi, CEO and cofounder of Openlayer. “When enterprises deploy AI, there’s no room for error, particularly in customer-facing purposes. A single failure can erode belief, disrupt lives, or result in authorized and reputational fallout. That’s why sturdy analysis, observability, and governance aren’t non-compulsory – they’re foundational to accountable AI deployment.”

    Within the present AI local weather, corporations want the tooling and processes to construct and deploy purposes reliably. Explosive development is an unbelievable alternative, however shifting too quick with out correct governance can have severe penalties to a enterprise and the top customers of those purposes. Openlayer offers enterprises a unified platform to take their AI purposes from prototype to manufacturing, delivering pace whereas additionally guaranteeing accuracy by recognizing and guarding in opposition to any weak spot.

    “Openlayer’s improvement velocity has been among the many quickest in our portfolio – rising almost 5x in 2024 and on tempo to match that this yr,” stated Chris McCann, Managing Accomplice at Race Capital. “Their platform is changing into important for enterprises that want to maneuver quick with out compromising reliability of their AI infrastructure.”

    Based by Gabriel Bayomi, Rishab Ramanathan, and Vikas Nair, Openlayer supplies a unified platform that helps AI groups throughout the complete improvement lifecycle—from early experimentation to manufacturing deployment. Designed for each conventional machine studying and rising GenAI methods, Openlayer allows groups to handle all the pieces from data-quality points to complicated mannequin analysis and governance, all inside a single workflow.

    “Openlayer has a world-class engineering workforce that ships new integrations and options each week,” stated Dror Avrilingi, Head of QE, Information & AI Studios at Amdocs. “On high of that, the platform is constructed for collaboration, and even non-technical stakeholders can simply take part in serving to guarantee merchandise are delivering on their meant promise.”

    Openlayer is the one native unified platform for ML and LLM analysis, providing true multimodal testing, real-time monitoring, and automatic governance that matches seamlessly into enterprise workflows.





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