Hang Ten Systems has raised $53 million, bringing its total enterprise AI funding to $85 million.
Hang Ten Systems has secured an additional $53 million in seed funding led by Xora, a Temasek-backed investment fund. The raise brings the enterprise AI services company’s total funding to $85 million as it scales delivery capacity for large corporate clients.
Mayfield, which led Hang Ten’s initial seed round, and Aramco Ventures also participated in the latest financing. Additional investors include Intel CEO Lip-Bu Tan, Micron Technology Chairman and CEO Sanjay Mehrotra, and Yahoo co-founder and AME Cloud Ventures founding partner Jerry Yang. Yang has joined Hang Ten’s board of directors.
The two seed rounds closed just five weeks apart, underscoring a rapid capital buildup as Hang Ten transitions from its initial market launch into full-scale enterprise deployments. During this window, the company signed several multimillion-dollar contracts for advisory and software development engagements with global enterprises.
Hang Ten delivers advisory, technology transformation, and applied AI services to large enterprises. Its operating model leverages agentic code generation alongside a reusable library of AI capabilities and industry expertise to build, modify, and operate enterprise software.
The company targets work traditionally managed by large systems integrators and consulting firms, aiming to deliver projects with smaller teams and accelerated development cycles. Its engagements span software development, financial analytics, enterprise migrations, human resources, and other corporate functions.
The new capital will primarily fund execution. Hang Ten plans to expand its engineering and consulting workforce, scale capacity for ongoing projects, and continue advancing its AI platform, underlying infrastructure, and agentic skills library.
Several customer engagements have already entered the delivery phase, while others are complete. Projects range from short-term advisory assignments to multiyear software development programs spanning multiple industries.
Aramco is among Hang Ten’s enterprise clients, with both companies evaluating and developing AI applications across multiple operational functions. Aramco Ventures’ participation as an investor has created a dual relationship that pairs venture capital with potential deployment opportunities within a major industrial organization.
“We spend a great deal of time assessing where AI can realistically be applied in a business of our scale,” Aramco Ventures CEO Mahdi Aladel said. He noted that teams across Aramco are identifying additional use cases for Hang Ten’s approach and that projects are already being scoped.
Siemens Gamesa Renewable Energy is another client. CEO Vinod Philip noted that the company initially engaged Hang Ten for a limited set of outcomes before expanding the scope of the partnership following the initial deliverables.
These enterprise deployments are central to Hang Ten’s strategy. Rather than selling a standalone AI software product, the company bundles technology with consulting and implementation services, focusing on the complex challenge of integrating AI into existing business systems and workflows.
Xora Managing Partner and Chief Investment Officer Phil Inagaki emphasized that implementation remains a primary hurdle for enterprises seeking ROI from AI. He cited Hang Ten’s ability to transition from signed commitments to production deployments using relatively lean teams as a key driver of the firm’s investment.
The Xora partnership may also accelerate Hang Ten’s expansion across Asia. Backed by Singapore-based Temasek, Xora focuses on AI infrastructure, applied AI, and deep technology. Hang Ten founder and CEO Vishal Sikka stated that the alliance opens doors to Singapore and the broader Southeast Asian market.
Sikka, the former CEO of Infosys, founded Hang Ten on the premise that enterprise AI must pair automation with the reliability demanded by business-critical systems. The company’s delivery model centers on AI agents capable of generating code and executing reusable skills, while seasoned engineering and consulting teams oversee enterprise implementation.
The $53 million injection provides Hang Ten with the capital needed to scale this model even as customer projects gain momentum. With $85 million in total funding, the company is simultaneously investing in its core AI technology and the engineering and consulting capacity required to deploy it within large enterprises.
Hang Ten’s next phase of growth hinges on translating these early multimillion-dollar engagements into repeatable deployments across additional customers and business functions. The company’s core opportunity lies with enterprises looking to move AI beyond pilot stages into mission-critical operations, but who require robust implementation, integration, and ongoing support to productionize these systems.