Vishal Sikka's Hang Ten raised another $53M after landing seven-figure AI contracts

Why it matters

Hang Ten's $85M seed total is a bet that Sikka's enterprise relationships and AI tooling can break the headcount economics of traditional IT services. Early contracts show demand; margins and repeatability remain the test.

Vishal Sikka's Hang Ten Systems closed a $53 million seed extension roughly five weeks after its initial $32 million financing, taking total disclosed funding to $85 million just months after the enterprise AI services company was founded. TechCrunch reported on September 16th that the extension was led by Xora, Temasek's early-stage investment platform.

The short interval between the financings puts the second closing around late July or early August. Early customer contracts drove the extension: Sikka said Xora approached Hang Ten after seeing its initial commercial progress and the potential to introduce Hang Ten across Temasek's portfolio. Sikka declined to give TechCrunch a valuation, saying only that the second financing was completed at a higher price than the first.

Sikka has spent his career inside the enterprise systems that Hang Ten wants to rebuild. The Stanford AI Ph.D. spent about 12 years at SAP, where he joined the executive board and is credited with creating the HANA in-memory data platform. He later became Infosys' first non-founder CEO, placing him on the operating side of the labor-heavy IT services model that Hang Ten is now challenging.

When RuntimeWire covered Hang Ten's first $32 million seed round on June 24th, the central bet was that agents could compress the customization, integration and testing work behind large enterprise software projects. The extension gives Sikka a larger balance sheet before Hang Ten has had time to establish the long-term economics of that model.

Xora is backing the customer loop

The $53 million extension included returning investor Mayfield, which led the original round, along with Aramco Ventures. Intel CEO Lip-Bu Tan, Micron CEO Sanjay Mehrotra and Yahoo co-founder Jerry Yang also invested. Yang serves on Hang Ten's board.

Sikka told TechCrunch that Hang Ten has signed multiple seven-figure contracts and is pursuing eight-figure deals. Hang Ten is working with customers and late-stage prospects across 21 large enterprises, a count that includes proposals and contract negotiations alongside existing work. Named customers include Fresenius Kabi, Saudi Aramco and Siemens Energy.

Those figures remain Hang Ten's account of its pipeline rather than reported revenue. Hang Ten has not published annual recurring revenue, retention, contract duration or customer concentration. The distinction matters for a services business, where a small number of large contracts can create impressive early bookings while leaving delivery costs and repeatability untested.

One engagement moved unusually fast. Sikka said Hang Ten signed a multimillion-dollar contract for a mission-critical system within 25 days of its first customer meeting, according to TechCrunch. That kind of sales cycle reflects Sikka's enterprise relationships as much as the underlying technology. Xora's Temasek network could widen that advantage by putting Hang Ten in front of another pool of large, complex businesses.

Hang Ten has to make services scale like software

Hang Ten combines senior forward-deployed engineers with Hobie, an internal agentic AI platform designed to read enterprise systems, model business data and produce answers traceable to source information. Hang Ten describes five Hobie layers covering user interaction, agent construction, semantic modeling, in-place data queries and governance.

The architecture is aimed at a persistent enterprise problem: large organizations rarely need a blank application. They need software that understands existing databases, permissions, business rules and regulatory controls. Hang Ten's engineers embed with customer teams across SAP migrations, finance, HR, analytics and product development.

Sikka's economic claim is direct: "The build part itself has basically become close to zero marginal cost, close to zero time." In his account, the expensive work moves toward defining requirements, reviewing outputs and validating whether a system does what the customer intended. TechCrunch reported the statement.

Hang Ten says teams of two to four people can handle some projects that once required about 30. Customers or independent specialists still perform final quality checks and certification, according to TechCrunch. That qualification is important. AI can reduce implementation labor without removing the accountability attached to production systems in healthcare, energy and finance.

Hang Ten also promises a 10x improvement measured through cost, speed or some combination. Hang Ten's website cites productivity gains and lower customization costs, though its public case studies describe targets and project structures instead of independently measured outcomes. The financing gives Hang Ten time to turn those early engagements into evidence that a compact, senior delivery team can maintain software after the first deployment.

The competitive pressure is already visible. 8090 raised a $135 million Series A in June for its AI-enabled custom software operation, with Salesforce leading. Accenture and Google Cloud formed a Gemini Enterprise group on September 8th that plans to build a 1,000-person forward-deployed engineering workforce. Hang Ten enters with a much smaller organization, roughly 20 to 25 employees according to Sikka, and a founder whose customer access can compensate for limited scale during the opening phase.

Sikka takes a second pass at enterprise AI

Hang Ten is Sikka's second enterprise AI venture after VianAI, which launched in 2019 and raised a $140 million SoftBank-led round in 2021 following an earlier $50 million seed. Sikka left VianAI in April 2026, telling TechCrunch that VianAI was going through a transaction without describing its structure.

For Hang Ten, Sikka reunited with executives from SAP, Infosys and VianAI. Navin Budhiraja, Hang Ten's CTO, previously worked at Amazon, SAP, Infosys and Ansys. Sanjay Rajagopalan, who leads design and applied AI, worked with Sikka at SAP and Infosys. Tao Liu runs Hang Ten's applied AI and forward-deployed engineering organization after roles at SAP and Infosys.

That continuity explains why Hang Ten could begin selling into large enterprises almost immediately. It also concentrates Hang Ten's thesis around a specific founder advantage: decades of knowledge about how enterprise software is purchased, modified and kept alive.

Hang Ten plans to use the new capital to expand engineering, consulting and sales. Hiring is expected across the United States, Europe and India, adding to operations in the United States, the Middle East and Australia. The hiring plan will test the core promise behind the financing. Sikka is building a services organization that intends to grow revenue without recreating the headcount economics he spent years managing at Infosys.

Hang Ten now has $85 million to prove that AI can change that equation. The first contracts show that large companies will buy the pitch. Delivery margins, repeat projects and production results will determine whether Sikka has built a new form of enterprise software business or an unusually well-capitalized consultancy with better tools.