Hang Ten raises $85M for two-to-four-person enterprise builds

Hang Ten Systems added $53 million to its seed financing five weeks after closing an initial $32 million round, bringing the Palo Alto startup’s total funding to $85 million. The company, founded in May 2026 by former Infosys CEO Vishal Sikka, sells large enterprises a mix of AI strategy consulting and production software delivery rather than a proprietary foundation model.

Xora, Temasek’s early-stage investment platform, led the new financing, while Mayfield—lead investor in the earlier seed round—also participated. The investor roster includes Aramco Ventures, Intel CEO Lip-Bu Tan, Micron CEO Sanjay Mehrotra, and Yahoo co-founder Jerry Yang, who sits on Hang Ten’s board. Sikka said the second financing increased the startup’s valuation, but neither the valuation nor revenue has been disclosed.

The compressed fundraising cycle follows early enterprise contract activity, not a disclosed technical benchmark or product launch. Hang Ten says it signed a multimillion-dollar contract to build a mission-critical system within 25 days of a first customer meeting. It has multiple seven-figure contracts and is pursuing eight-figure deals, according to Sikka.

Selling delivery capacity, not another model

Hang Ten argues that generative AI is changing the economic bottleneck in enterprise software. If code generation becomes cheap and fast, the scarce work shifts toward expressing requirements accurately, integrating with existing systems, and proving the resulting application meets operational and regulatory requirements.

“The build part itself has basically become close to zero marginal cost, close to zero time.”

Hang Ten is positioning itself as an outside delivery organization for companies with more than $10 billion in annual revenue, including organizations that may have deferred major modernization projects because of cost, staffing, or implementation risk.

Its customer and prospect set spans 21 major enterprises across the United States, Europe, the Middle East, and Asia. The company named Fresenius Kabi, Saudi Aramco, and Siemens Energy, though it did not specify which are contracted customers and which are late-stage prospects. Some are in proposal or contract-negotiation stages, an important distinction when evaluating a four-month-old company’s commercial footprint.

Hang Ten says many assignments displace incumbent systems integrators. More than half of current opportunities are new projects that customers had previously postponed, rather than direct replacements for existing vendors. The startup is pursuing work from traditional service providers and previously uneconomic projects.

Hobie is the proposed operating layer

CTO Sanjay Rajagopalan said Hang Ten’s engineers use an internal framework called Hobie, which packages reusable AI “skills” for regulated industries and complex enterprise projects. Hang Ten has not disclosed the models it uses, how its skills are represented, whether they are portable across model providers, or how it handles customer code and data.

The company is not claiming to replace every part of an enterprise development organization with autonomous agents. Its pitch is that a small team, equipped with reusable workflows and AI tooling, can perform work formerly requiring a much larger delivery team.

“We are actually delivering production software. It’s not like we are doing some kind of PoC.”

Rajagopalan said some projects can be staffed by two to four people, compared with roughly 30 people previously. Customers or independent third parties still conduct final quality checks and certification. In regulated or mission-critical deployments, validation and sign-off determine whether a generated system can enter production.

Hang Ten promises a 10-fold improvement in cost, speed, or a blend of both. The company has not published project-level measurements, delivery durations, defect rates, certification outcomes, or an independent comparison with traditional integrators. The staffing ratio is a statement of its sales model, not yet a public performance result readers can audit.

Expansion plans and the practical constraint

The company currently has about 20 to 25 employees distributed across the United States, the Middle East, and Australia. It plans to use the new money to expand engineering, consulting, and sales, with expected hiring in Europe and India. Xora’s involvement could put Hang Ten in front of companies in Temasek’s portfolio.

Hang Ten is entering a market where model vendors are moving into enterprise services while large consultancies are embedding generative AI in their established delivery operations. Sikka argues for an independent adviser and implementer that is not aligned with an underlying platform.

“Enterprises still need trusted partners who are independent of the underlying platform and who work with and solely in the interest of the enterprise.”

Independence may appeal to buyers that do not want their architecture dictated by one model vendor. Hang Ten has not answered publicly whether Hobie and its delivery process remain model-agnostic as providers change prices, capabilities, data terms, and enterprise deployment options.

The company says it has already rejected acquisition approaches from unnamed large companies. Hang Ten needs to turn fast early contracts into repeatable, certifiable deployments while scaling from a few dozen staff—and show that its claimed tenfold gains survive the quality-control process that customers and third parties still own.

Sikka’s second enterprise AI startup

Hang Ten is Sikka’s second enterprise AI company after VianAI, which he co-founded in 2019 after leaving Infosys in 2017. VianAI raised $50 million in seed funding and then $140 million in a 2021 round led by SoftBank Vision Fund 2. Sikka left VianAI in April 2026 and said it is “going through a transaction,” without providing details.

Hang Ten has not publicly disclosed a product architecture, revenue figure, or valuation. Investors are backing an enterprise-services thesis: AI may reduce the headcount required to deliver software, but complex enterprises will still pay for accountability, integration, validation, and a party willing to take responsibility for the result. Hang Ten must prove that those responsibilities can be compressed as dramatically as the code-writing work it says has become nearly free.