Hang Ten Systems is fresh, funded, and pointed straight at the labor model that made Vishal Sikka's old industry rich.
Vishal Sikka knows the services business from the inside. He ran Infosys from 2014 to 2017, after years at SAP, and he understands the machine that turns enterprise software pain into billable hours. Now he's back with Hang Ten Systems, a Palo Alto company whose pitch is blunt: AI can build, change, and run large-company software with far less human drag than the old outsourcing model requires.
According to Hang Ten's June 24 press release, the company raised $32 million in seed funding led by Mayfield, with a strategic investment from Aramco Ventures and participation from angel investors. Sikka announced the launch the same day in a company blog post. Jerry Yang, the Yahoo co-founder, sits on Hang Ten's board, and Sikka named a founding team that includes Navin Budhiraja, Sanjay Rajagopalan, Tao Liu, Frank Yu, Pradeep Panicker, and Yusuf Safdari.
Those details matter because this isn't a vague AI consultancy with a shiny landing page. Hang Ten says it is already working with large customers including Siemens Gamesa Renewable Energy and Fresenius on AI-native project delivery. The company describes its model as agentic code generation, a reusable skills library, and an expert FDE bench for enterprise transformations, finance, HR, and new product development. You can dislike the jargon, and some of it does sound like the current AI funding market talking to itself, but the target is clear enough: the software work that global companies have spent decades handing to firms such as Infosys, Tata Consultancy Services, and Wipro.
That is why Sikka's name changes the story. A founder with no services scar tissue could make this same claim and sound like every other AI vendor promising to shrink a budget line. Sikka ran one of the companies built on that budget line. He knows why clients tolerate long delivery cycles, why procurement departments stick with familiar vendors, and why replacing a system integrator is rarely as simple as showing a faster demo.
According to The Economic Times, Hang Ten's funding was disclosed through Sikka's LinkedIn post, with Mayfield leading the round. The company's own release puts the announcement in Palo Alto on June 24, 2026. That makes the story current, and the timing is not accidental. Indian IT services stocks have been trading under pressure this year as investors try to work out how much of their revenue is exposed to AI tools that can automate coding, testing, documentation, and support work.
If you're watching this from inside a services company, don't dismiss it as one more seed round. Nasscom expects India's technology industry to reach about $315 billion in FY26, while Economic Times coverage this year has described the Indian software services industry as a roughly $250 billion-plus market under AI pressure. Jefferies turned sharply cautious on major Indian IT names in February, warning that a severe AI disruption case could drive another 30% to 65% valuation derating for parts of the sector. That is not startup theater. That is public-market anxiety.
The incumbents know it too. Infosys chairman Nandan Nilekani told shareholders this week that AI would amplify companies like Infosys rather than replace them, and The Times of India reported that he pointed to a $300 billion to $400 billion AI-first services opportunity by 2030. Infosys has already partnered with Anthropic. Other services firms are doing the same dance with OpenAI, Microsoft, Google, and whoever else can help them tell clients they are adapting rather than being eaten.
Frankly, that is the right defensive move. The old services companies have client relationships, compliance teams, delivery managers, offshore centers, and decades of trust inside regulated enterprises. Hang Ten has $32 million and a sharper story. You shouldn't pretend those are equal weapons.
But startups don't have to win the whole market to expose the weak part of it. The vulnerable piece is the labor-arbitrage assumption: that enterprise software work naturally requires armies of engineers, layers of project management, and long implementation cycles. Hang Ten is betting that AI changes the unit economics before the big firms can fully protect them. If the company can prove that with Siemens Gamesa, Fresenius, or another large customer, the conversation moves from whether AI can do services work to how much of the existing services model was only there because there was no better tool.
Sikka has tried an AI company before. After leaving Infosys, he founded VianAI, which attracted serious backers but never became a household enterprise software name. Hang Ten is more direct. It is not selling general AI transformation as a mood. It is going after the work Sikka spent years watching from the buyer, vendor, and product sides of the table.
The next test is not whether Hang Ten can sound credible at launch. It can. The harder test comes when a regulated enterprise asks who owns the risk when AI-written code breaks a finance workflow, when a procurement team compares a startup against a long-term outsourcing partner, and when an incumbent offers to bundle the same promise into an existing master services agreement. Enterprise software is slow because the politics are slow.
Still, this is the right fight to watch. AI may not replace Infosys, TCS, or Wipro in one dramatic sweep. It doesn't need to. If it removes enough hours from enough projects, the old model starts to look heavy. Sikka has built Hang Ten around that specific pressure point, and this time he is aiming at the industry he once had to defend.
Also read: Google delays Gemini 3.5 Pro to July as talent exodus deepens the pressure on its AI ambitions • GitHub's record June shows usage-based pricing is the unlock enterprise AI has been waiting for • Elizabeth Warren wants Congress to treat AI algorithms the same way it treats any other antitrust threat
