Hang Ten Systems, which uses AI to help large enterprises build software, expanded its seed funding by $53M, led by Xora, five weeks after its initial $32M seed

Enterprise software development can now be completed at a fraction of the previous cost and time, with some projects reduced from 30 people to as few as four.

Hang Ten Systems, an AI startup focused on enterprise software development, has secured an additional $53 million in seed funding, just five weeks after an initial $32 million round. This brings their total seed funding to $85 million. The latest investment was led by Xora, an early-stage platform of Temasek, with participation from Mayfield, which led the previous round, and other notable investors including Aramco Ventures and executives from Micron and Intel. Founded in May 2026, Hang Ten aims to transform how large enterprises, defined as those with over $10 billion in annual revenue, build and maintain software by leveraging AI for strategy, development, and modernization. The company reports rapid enterprise deal closures, including a multi-million dollar contract signed within 25 days of initial contact, and is engaged with 21 major enterprises globally, pursuing both seven and eight-figure deals. Hang Ten's approach, utilizing an in-house framework called Hobie, focuses on adapting AI to complex enterprise needs rather than developing new models. Despite being a nascent company, Hang Ten has already received acquisition offers, which it has declined to focus on growth and expansion of its engineering, consulting, and sales teams.

Hang Ten's success and rapid funding underscore a significant market shift where AI is no longer just a tool for model development but a core component for revamping traditional enterprise software lifecycles. This signals increasing demand for specialized AI consultancies that can bridge the gap between cutting-edge AI capabilities and the complex, often legacy-bound, systems of large corporations.

The startup's ability to secure substantial funding and multi-million dollar deals so quickly indicates that enterprises are actively seeking independent partners to navigate AI integration, rather than relying solely on platform providers or traditional consulting firms. This trend suggests a growing ecosystem of AI-native service providers poised to disrupt established players by offering faster, more cost-effective, and tailored solutions for complex software challenges.