Dyna.Ai raises undisclosed eight-figure Series A to industrialize agentic AI

Dyna.Ai said it has closed an undisclosed eight-figure, multimillion-dollar Series A round led by Lion X Ventures, with the transaction advised by OCBC Bank's Mezzanine Capital Unit. The Singapore-headquartered startup, founded in 2024, plans to use the fresh capital to move enterprise AI projects out of pilot stages and into operational, revenue-focused deployments.

The round, announced in a PR Newswire release datelined Singapore on March 2, 2026, also listed participation from ADATA (spelled Adata in some reports), an unnamed Korean or South Korean financial institution, and a group of finance industry veterans. Dyna.Ai described the funding as intended to accelerate deployment of what it calls "Agentic AI" solutions, to support a rollout across global banking and financial services markets, and to expand product development, governance capabilities, and enterprise-scale delivery.

Dyna.Ai positions its platform under the branding "AI Workforce, Better Results," which it showcased at the Singapore FinTech Festival in 2025. The company says its model centers on measurable revenue outcomes and combines domain expertise with AI agent builders, task-specific agents, and workflow-based applications. Kr-Asia reported that the startup's systems are already deployed across financial services and enterprise environments in Asia, the Americas, and the Middle East.

The financing rounds up investor interest in a distinct slice of enterprise AI: turning experimental agent-driven tools into governed, auditable workflows that can be embedded inside regulated institutions. Banks and financial firms have repeatedly prioritized compliance, traceability, and measurable business outcomes as obstacles to productionizing AI; Dyna.Ai explicitly frames its product to operate "within defined compliance and governance frameworks," language the company used in distributed materials.

Key facts remain undisclosed. No precise dollar figure beyond the "eight-figure" description was provided, and the company did not release valuation metrics, investor check sizes, or named customer contracts. The PR distribution included contact metadata but no executive quotations; Tomas Skoumal is identified in republished material as chairman and co-founder, though no direct comment from him appears in the release.

Market implications are twofold. First, the round signals continued appetite among Asia-based investors and strategic corporate participants for startups that promise production-ready AI tools tailored to regulated verticals. The inclusion of a Taiwan-listed technology company and a Korean financial institution suggests interest both from hardware/tech partners and potential major buyers inside finance. Second, the stated focus on governance and enterprise-scale delivery underscores an industry shift: capital increasingly flows to firms that can demonstrate controlled, measurable downstream revenue rather than pure model innovation.

For buyers in banking and insurance, agentic systems that stitch task-specific agents into workflow applications could cut operating costs and compress cycle times for routine decisions. For investors, the lack of disclosed unit economics or customer-level outcomes will keep due diligence centered on references, deployment metrics, and governance posture. Dyna.Ai's claim of international deployments less than two years after its 2024 founding will be a point of scrutiny for enterprise customers weighing vendor stability against the promise of faster AI adoption.