Amity Secures $100M Series D, Launches Singapore AI Hub for Agentic Enterprise Software

The enterprise software sector is rapidly evolving with AI, and Amity's latest $100 million Series D funding and strategic expansion into Singapore with a new AI research center underscore the growing market for intelligent, agentic solutions.
The enterprise software sector is undergoing a significant transformation driven by artificial intelligence, and companies like Amity are at the forefront of this shift. The ability to integrate advanced AI capabilities into core business operations is becoming a critical differentiator for growth and market leadership.
Amity, a Thailand-founded enterprise software group, has successfully closed a US$100 million Series D funding round, signaling strong investor confidence in its AI-driven strategy. This substantial investment coincides with the opening of its new Singapore office and an AI Research & Application Centre (ARAC), which will serve as its Southeast Asia headquarters and global hub for AI innovation. The company aims to reach US$200 million in annualized revenue by the end of 2026 and is preparing for a public listing in 2027, demonstrating aggressive growth ambitions in the competitive enterprise AI landscape.
The new capital will primarily fuel the development of Amity's agentic AI technology through ARAC, focusing on creating industry-specific AI models for sectors like retail and telecommunications. This move reflects a broader industry trend where general-purpose AI is being refined into specialized solutions that can address unique business challenges. By establishing a dedicated research center and planning strategic software acquisitions in Europe and Southeast Asia, Amity is positioning itself to capture a larger share of the rapidly expanding market for intelligent enterprise solutions.
Amity's expansion and significant funding round highlight the increasing demand for AI-native software that can automate complex tasks and enhance customer engagement. Unlike traditional enterprise software that often requires extensive human oversight, Amity's focus on agentic AI aims to provide systems capable of handling multi-step tasks autonomously. This approach could redefine efficiency and scalability for businesses, moving beyond mere data analysis to proactive problem-solving and operational execution. The company's reported achievement of over US$100 million in annualized revenue in 2025 underscores the commercial viability and market acceptance of its offerings.
This development is particularly relevant as businesses globally seek to leverage AI not just for incremental improvements but for fundamental shifts in their operating models. Amity's strategy to develop specialized AI agents and expand its market reach through acquisitions indicates a clear vision for becoming a dominant player in the next generation of enterprise software. The company's trajectory, from a Thailand-founded startup to a global player with aspirations for a public listing, serves as a testament to the potential of focused AI innovation in the enterprise sector.
INTELLIGENCE BRIEF
WHY IT MATTERS
Amity's substantial Series D funding and strategic expansion into Singapore highlight the increasing investment and innovation in AI-driven enterprise software. This move signals a broader industry shift towards specialized, agentic AI solutions that can deliver tangible business outcomes, rather than just general AI capabilities. It also demonstrates how companies are leveraging regional hubs like Singapore for global AI research and market expansion.
WHO IS INVOLVED
Amity (enterprise software group), EDBI (lead investor), Asia Partners (lead investor), SMDV (lead investor), CMLIM Capital (investor).
MARKET IMPACT
This funding and expansion will intensify competition in the enterprise AI market, pushing other software providers to accelerate their own AI integration and specialization efforts. It validates the 'agentic AI' paradigm, where AI systems can perform complex tasks autonomously, potentially disrupting traditional enterprise software models and driving greater efficiency across industries.
This story was drafted with AI assistance and reviewed by TurkSpark editors before publication. Facts, figures, and names may be inaccurate — verify important details independently.


