AI Firm Dyna.Ai Raises 'Eight-Figure' Series A
Singapore-based AI solutions company Dyna.Ai has closed an eight-figure multimillion-dollar Series A funding round. The round was led by Lion X Ventures and advised by OCBC, with the capital intended to help enterprises move AI projects from pilot stages to generating real business results.
Dyna.Ai is tackling the widespread failure of enterprise AI projects to move from costly experiments to production. Research from MIT shows that 95% of generative AI pilots fail to deliver measurable business value, a challenge Dyna.Ai addresses with a "Results-as-a-Service" (RaaS) model, tying its compensation to business outcomes rather than just technology deployment. The firm was founded in 2024 by Tomas Skoumal, a banking veteran with over two decades of experience who previously spearheaded the implementation of voice bot technology at Standard Chartered. His experience confronting operational challenges in finance shaped Dyna.Ai's focus on building for specific, pressing problems rather than general AI applications. The company's core offering is built on "Agentic AI," which are digital employees that can execute complex, multi-step workflows without human intervention. For financial services, this includes applications like a "Process Agent for Credit Memo" to automate financial analysis and multi-language voice agents for customer service, designed to handle tasks from start to finish. One e-commerce client, Enstack, used a Taglish-speaking AI voice agent to reduce manual labor by 85%. The Series A round was led by Lion X Ventures, a Singapore-based VC fund focused on Southeast Asian digital innovation and led by CEO Irene Guo. The deal was advised by the Mezzanine Capital Unit of OCBC, a bank that has positioned itself as "AI-first," having established its own AI unit back in 2018 and now using AI to make roughly six million decisions daily. Other investors in the round include Taiwanese tech firm ADATA and a Korean financial institution, signaling broad interest in solutions that bridge the AI pilot-to-production gap. The average cost of a failed AI pilot is estimated at $2.3 million, creating a significant market for platforms that can demonstrate clear ROI. Dyna.Ai is expanding globally, with a presence across Asia, the Middle East, and the Americas, including a new office in Mexico City to target the Latin American market. This global footprint allows it to serve a diverse client base, from traditional banks to fintechs and insurance firms, looking to move beyond experimentation.
