Hang Ten Systems lifts total seed financing to $85 million just weeks after its first raise
Hang Ten Systems, the Palo Alto AI startup founded by former Infosys CEO Vishal Sikka in May, added $53 million to its seed financing just five weeks after closing an initial $32 million seed round, bringing total funding to $85 million, according to the company.
The new round was led by Xora, Temasek’s early-stage investment platform, with prior backer Mayfield also participating. Other investors named by the company include Aramco Ventures, Intel CEO Lip-Bu Tan, Micron CEO Sanjay Mehrotra, and Yahoo co-founder Jerry Yang.
Hang Ten said it is already working with existing customers and late-stage prospects across 21 major enterprises, has signed multiple seven-figure contracts, and is pursuing eight-figure deals.
Hang Ten is selling AI-driven software building and modernization services to companies with more than $10 billion in annual revenue, a direct challenge to traditional systems integrators and a sign that generative AI is starting to reshape enterprise IT services, not just coding tools.
Hang Ten Systems has raised another $53 million. The new seed financing comes just five weeks after the former Infosys chief’s AI startup closed its initial $32 million round, taking total funding to $85 million.
What happened with Hang Ten is straightforward: Vishal Sikka’s four-month-old startup expanded its seed round after early enterprise customer traction, giving investors a fresh bet on the idea that AI can upend the labor-heavy IT services business that firms like Infosys helped define.
Xora, Temasek’s early-stage investment platform, led the new round, according to the company. Mayfield, which led the earlier seed financing, also participated. Hang Ten also listed Aramco Ventures, Intel CEO Lip-Bu Tan, Micron CEO Sanjay Mehrotra, and Yahoo co-founder Jerry Yang among its backers, and said Yang sits on its board.
That pace is the story as much as the money. Hang Ten is already pitching itself as something closer to an operating business, telling customers and investors that the old staffing model for enterprise software work is starting to crack as AI drives down the time and cost of actually building code.
Sikka said the startup advises large companies on AI strategy and also builds and modernizes software, typically for enterprises with more than $10 billion in annual revenue. He said writing code is no longer the bottleneck. He said the harder part now is defining requirements and verifying that systems do what the business needs, especially in regulated or mission-critical settings.
$85 million
Total funding Hang Ten says it has raised since launching in May, after adding $53 million to a prior $32 million seed round.
The company said one customer signed a multimillion-dollar contract to build a mission-critical software system within 25 days of the first meeting. Sikka said he had not previously seen enterprise deals move that quickly. Hang Ten said it is now working with a mix of existing customers and late-stage prospects spanning 21 major enterprises, with some in proposal or contract-negotiation stages.
Named customers include Fresenius Kabi, Saudi Aramco, and Siemens Energy, according to the company. Hang Ten said it has secured multiple seven-figure contracts and is pursuing eight-figure deals across the U.S., Europe, the Middle East, and Asia. For a company founded in May, that is a notable set of claims and the kind of traction that can attract more seed funding before a startup has much public operating history.
There is a broader U.S. market angle here. Investors have spent the past two years pouring money into model providers and coding copilots, but a lot of enterprise tech spending still sits in the layer of implementation, modernization, and integration. If Hang Ten is right, the bigger disruption may not be another foundation model. It may be that far smaller teams can take on projects that once required large groups of consultants billing by the hour.
Rajagopalan, Hang Ten’s co-founder and chief design officer, said the startup uses an internal framework called Hobie that packages reusable AI “skills” for regulated industries and complicated enterprise software projects. He said the company is delivering production software rather than proofs of concept.
Hang Ten’s pitch also puts it on a collision course with two groups at once. On one side are traditional consulting and systems integration firms that make money from large delivery teams. On the other are model vendors such as OpenAI and Anthropic, both of which have been pushing deeper into enterprise accounts. Sikka said large companies still want partners independent of the underlying AI platform and focused only on the enterprise customer’s interests.
That argument may resonate with some CIOs, especially in the U.S., where buyers are increasingly wary of vendor lock-in while trying to move fast on generative AI. Still, independence alone is not enough. The hard part is proving a company can handle compliance, quality checks, and enterprise workflows without simply recreating the same services model in a different form.
Hang Ten is at least trying to quantify that claim. Rajagopalan said some projects that might previously have required about 30 people can now be done with teams of about two to four, although customers or independent third parties still handle final quality checks and certification. He said the startup promises a 10-fold improvement in cost, speed, or a combination of the two. If that holds up in production, it would affect the economics of IT services more directly than most AI coding products have so far.
The background
Sikka knows the category he is attacking. Before founding Hang Ten, he led Infosys and later co-founded enterprise AI startup VianAI in 2019. That company 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, according to his LinkedIn profile, and said only that the business is “going through a transaction.”
That history matters because Hang Ten is not being built by founders learning enterprise software from scratch. It is being built by executives who understand how large company technology budgets are allocated, how outsourcing contracts are structured, and where incumbents are slow. Sikka said Hang Ten does not carry the burden of legacy that older firms now have to transform.
The startup currently has about 20 to 25 employees across the U.S., the Middle East, and Australia, according to Sikka. It plans to use the new funding to expand its engineering, consulting, and sales teams, and expects to hire in Europe and India. That geographic footprint suggests broad ambitions. Hang Ten is not positioning itself as a boutique U.S. AI consultancy. It is assembling the outline of a global delivery business, with smaller teams and heavier software automation.
Sikka also said Hang Ten has already received acquisition offers from “very big companies,” though he declined to name them and said the startup turned them down for now. That detail cannot be independently tested from the information provided, but it aligns with a market in which incumbents are under pressure to buy speed. Large tech vendors, cloud providers, and legacy services firms all need a clearer answer to the same customer question: who actually ships enterprise software faster and cheaper in the AI era?
What's next
The next real checkpoint is not another funding announcement but proof of delivery. Hang Ten has said some prospects are already in proposal or contract-negotiation stages, and it is hiring across multiple regions. Over the next few quarters, the questions for customers and investors will be whether those seven-figure contracts turn into repeatable deployments, whether the eight-figure deals actually close, and whether a startup with about 20 to 25 employees can scale without drifting into the services model it says AI can replace.
Frequently asked questions
How much new funding did Hang Ten Systems raise?
Hang Ten Systems raised an additional $53 million in seed financing. That brings the Palo Alto AI startup’s total seed funding to $85 million after its earlier $32 million round.
Who founded Hang Ten Systems?
Hang Ten Systems was founded by former Infosys CEO Vishal Sikka. The company launched in May and is based in Palo Alto, California.
Who led the latest Hang Ten Systems funding round?
The new $53 million round was led by Xora, Temasek’s early-stage investment platform. Existing investor Mayfield also participated in the financing.
Why is this funding round notable?
The raise stands out because it came just five weeks after the startup closed its initial $32 million seed round. Rapid follow-on funding at the seed stage often signals strong investor confidence in the team and market opportunity.
What is Hang Ten Systems’ total funding now?
Hang Ten Systems has now secured $85 million in total seed funding. That figure combines the original $32 million seed round with the newly announced $53 million investment.
Where is Hang Ten Systems located?
Hang Ten Systems is based in Palo Alto, California. Its Silicon Valley location places it close to major AI investors, talent, and enterprise technology partners.
