Singapore’s Dyna.Ai Raises Eight-Figure Series A to Push “Agentic AI” Into Real Enterprise Workflows

Lion X Ventures leads funding as the startup bets that the next phase of enterprise AI will focus less on experimentation and more on measurable business results.

Dyna.Ai, a Singapore-based artificial intelligence solutions provider, has secured an undisclosed eight-figure Series A funding round as it looks to expand the deployment of its agentic AI technologies across global enterprise and financial services markets. The funding round was led by Lion X Ventures, a Singapore-based venture capital firm advised by OCBC Bank’s Mezzanine Capital Unit. Other investors included ADATA, a publicly listed technology company from Taiwan, a Korean financial institution, and several experienced figures from the financial services sector.

The company plans to use the new capital to accelerate the rollout of its agentic AI solutions and expand enterprise adoption of its “Results-as-a-Service” platform. The approach focuses on helping organizations move beyond AI pilot programmes and implement systems that deliver measurable operational and financial outcomes.

The funding reflects a growing shift in the enterprise AI market, where companies are increasingly looking for practical deployments rather than experimental use cases.

The challenge: moving AI from pilots to production

While artificial intelligence has attracted massive investment over the past several years, many large organizations — particularly banks and financial institutions — have struggled to move beyond small proof-of-concept projects. Industry research suggests that although many companies report positive early returns from AI experiments, only a small share successfully scale these projects across their operations. In financial services, AI spending is projected to rise sharply over the coming decade, yet many institutions remain stuck in early testing phases. 

Dyna.Ai positions itself as a company focused specifically on solving this problem. Rather than selling AI tools alone, the startup promotes a model where technology deployment is tied directly to business outcomes such as revenue growth, operational efficiency, or improved customer engagement.

What Dyna.Ai actually builds

Founded in 2024, Dyna.Ai develops enterprise AI solutions designed to convert advanced artificial intelligence capabilities into practical business results. The company offers AI-powered systems aimed at improving several areas of enterprise operations:

• Customer experience (CX) through AI-driven service and engagement tools
• Employee productivity (EX) using workflow automation and digital assistants
• Operational efficiency through AI agents embedded inside enterprise systems

Its technology stack combines domain expertise, AI agent development tools, pre-built task agents, and operational applications capable of executing tasks within structured enterprise workflows.

These systems are designed to operate within regulated environments — particularly in banking and financial services — where compliance, governance, and accountability are critical. The company says its solutions are already deployed across global and regional banks as well as enterprise organizations in Asia, the Americas, and the Middle East.

The rise of “agentic AI”

A central concept behind Dyna.Ai’s strategy is agentic AI — a fast-emerging segment of the artificial intelligence market. Unlike traditional AI systems that primarily provide insights or predictions, agentic AI refers to autonomous software agents capable of completing complex tasks within defined workflows. These agents can interact with enterprise systems, analyze data, make decisions, and execute processes with minimal human intervention.

In enterprise environments, this could include tasks such as:

• processing loan applications
• verifying identity during digital onboarding
• automating customer service interactions
• detecting fraud or risk anomalies

Many technology companies are now exploring agent-based systems as a way to translate generative AI advances into operational tools that businesses can use at scale.

Founders emphasize practical outcomes

Dyna.Ai chairman and co-founder Tomas Skoumal said the company was built around solving operational challenges faced by large organizations.

“Fundamentally, we are innovation-driven and commercial people who have experienced the same operational challenges we are solving today,” Skoumal said. “While much of the industry was focused on how broadly AI could be applied, we doubled down early on a specific problem and built with outcomes in mind.”

Skoumal brings extensive experience in banking and financial services, having previously held senior roles at institutions including Standard Chartered and other global financial firms. The company believes that this industry background helps it design AI systems that can operate effectively in regulated environments.

Why investors are betting on the model

Investors say the enterprise AI market is entering a new phase where companies must demonstrate measurable returns from AI investments.

Lion X Ventures CEO Irene Guo said enterprises are shifting their focus from experimentation to execution.

“Enterprise AI is entering a phase where execution and measurable outcomes matter more than experimentation,” Guo said. “Dyna.Ai differentiates itself through strong domain expertise, operational discipline, and the ability to deploy agentic AI within complex, regulated enterprise environments.”

Lion X Ventures focuses on early-stage investments in technologies such as digital infrastructure, artificial intelligence, and industry digitization across Southeast Asia.

The bigger picture for enterprise AI startups

The funding also highlights the growing role of Southeast Asia as a hub for enterprise AI development. Singapore in particular has become an important base for startups building technology for regulated industries such as finance, insurance, and telecommunications. The country’s strong financial sector and supportive regulatory environment make it a testing ground for AI solutions targeting enterprise customers.

At the same time, the global enterprise AI market is becoming increasingly competitive, with startups and major technology companies racing to deliver scalable AI platforms. For newer players like Dyna.Ai, success will likely depend on their ability to prove that AI can move beyond experimentation and deliver tangible operational results.

Dyna.Ai’s Series A funding reflects a broader shift in the artificial intelligence industry: the transition from experimentation to large-scale deployment. As enterprises invest billions of dollars in AI technologies, the next wave of startups will likely be judged less on the sophistication of their algorithms and more on their ability to integrate AI into real business workflows. By focusing on operational outcomes and agent-based automation, Dyna.Ai is positioning itself within that emerging category — one that aims to turn AI from a promising technology into a practical tool for everyday enterprise operations.

Quick Takeaways

• Funding secured: Singapore-based AI startup Dyna.Ai has raised an undisclosed eight-figure Series A round in March 2026.
• Lead investor: The round was led by Lion X Ventures, with participation from ADATA, a Korean financial institution, and finance industry veterans.
• Focus area: The company develops agentic AI solutions for enterprises, particularly in financial services and regulated industries.
• Use of funds: The capital will support the global rollout of Dyna.Ai’s AI systems and wider adoption of its Results-as-a-Service platform.
• Enterprise deployment: Its solutions are already used by banks and financial institutions across Asia, the Americas, and the Middle East.
• Market positioning: The startup aims to help enterprises move from AI pilots to full operational deployment, a major challenge in enterprise AI adoption.