Latest news with #RaceCapital
Economic Times
5 days ago
- Business
- Economic Times
AI security startup Unbound raises $4 million in round led by Race Capital
Unbound, which focuses on enterprise artificial intelligence (AI) security, has raised $4 million in an oversubscribed seed round led by Race Capital. Other investors include Wayfinder Ventures, Y Combinator, Massive Tech Ventures, and angel investors like Alpha Square Group and Northside Bengaluru-based startup plans to invest over $1 million in India, specifically for hiring and expanding its research and development (R&D) efforts. With a current team of eight in Bengaluru, Unbound said that it aims to support Indian companies in adopting secure, cost-effective AI solutions, highlighting the country's strength in innovation, focussed on real-world results. 'As AI tools become mainstream, enterprises are turning to flexibility and control,' said Rajaram Srinivasan, cofounder and CEO of Unbound. 'They want visibility into what's being used, assurance that their data is protected, and the ability to swap in better models as the space evolves. Unbound is the bridge that makes that possible.' Founded by Srinivasan and Vignesh Subbiah, Unbound helps organisations safely integrate generative AI into their workflows. The platform gives IT and security teams the tools to oversee usage, monitor sensitive data flows, and enforce internal policies. 'Defaulting to blanket bans on AI tools is like being in the times of GPT 3.5. Unbound enables surgical security controls into every AI request so teams can innovate freely without putting corporate secrets at risk,' said Vignesh Subbiah, the company's CTO and cofounder. According to Subbiah, Unbound's solution has helped clients prevent over 7,000 potential data leaks while also reducing their AI tool costs by nearly 70%.
Malaysian Reserve
15-05-2025
- Business
- Malaysian Reserve
Openlayer Raises $14.5 Million Series A to Help Enterprises Scale AI with Confidence
As enterprises rush to deploy AI, Openlayer helps ensure these systems are evaluated andaccountable before and after launch. SAN FRANCISCO, May 14, 2025 /PRNewswire/ — Today, 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 focus the new investment to expand enterprise-grade product capabilities and scale go-to-market efforts across key industries and global markets. 'The rate of AI adoption is accelerating rapidly, with teams integrating AI into more mission-critical aspects of their business,' said Gabriel Bayomi, CEO and cofounder of Openlayer. '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. '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,' said Chris McCann, Managing Partner at Race Capital. '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 has a world-class engineering team that ships new integrations and features every week,' said Dror Avrilingi, Head of QE, Data & AI Studios at Amdocs. 'On top of that, the platform is built for collaboration, and even non-technical stakeholders can easily participate in helping ensure products are delivering on their intended promise.' Openlayer is the only native unified platform for ML and LLM evaluation, offering true multimodal testing, real-time monitoring, and automated governance that fits seamlessly into enterprise workflows. For more information, visit About OpenlayerBuilt 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. For more information, please visit
Yahoo
14-05-2025
- Business
- Yahoo
Openlayer Raises $14.5 Million Series A to Help Enterprises Scale AI with Confidence
As enterprises rush to deploy AI, Openlayer helps ensure these systems are evaluated andaccountable before and after launch. SAN FRANCISCO, May 14, 2025 /PRNewswire/ -- Today, 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 focus the new investment to expand enterprise-grade product capabilities and scale go-to-market efforts across key industries and global markets. "The rate of AI adoption is accelerating rapidly, with teams integrating AI into more mission-critical aspects of their business," said Gabriel Bayomi, CEO and cofounder of Openlayer. "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. "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," said Chris McCann, Managing Partner at Race Capital. "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 has a world-class engineering team that ships new integrations and features every week," said Dror Avrilingi, Head of QE, Data & AI Studios at Amdocs. "On top of that, the platform is built for collaboration, and even non-technical stakeholders can easily participate in helping ensure products are delivering on their intended promise." Openlayer is the only native unified platform for ML and LLM evaluation, offering true multimodal testing, real-time monitoring, and automated governance that fits seamlessly into enterprise workflows. For more information, visit About OpenlayerBuilt 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. For more information, please visit View original content to download multimedia: SOURCE Openlayer Sign in to access your portfolio
Bloomberg
04-02-2025
- Business
- Bloomberg
How Stablecoins Could Drive the Dollar
Edith Yeung, general partner at Race Capital, discusses the future of the global cryptocurrency market under President Donald Trump, eyeing opportunities in digital assets. She joins Caroline Hyde and Jackie Davalos on "Bloomberg Technology". (Source: Bloomberg)
Bloomberg
28-01-2025
- Business
- Bloomberg
Race Capital: DeepSeek a Wake-up Call for Silicon Valley
Edith Yeung, general partner at early-stage venture capital fund Race Capital, says DeepSeek has raised questions among Silicon Valley investors about their AI investments. She speaks with David Ingles and Stephen Engle on "Bloomberg: The China Show." (Source: Bloomberg)
