An AI startup built to disrupt the IT services playbook
Hang Ten Systems is an AI-native enterprise startup founded by former Infosys CEO Vishal Sikka to automate large-company software work that traditional IT services firms still deliver through labor-heavy outsourcing, targeting a roughly $250 billion-plus services market that is already under pressure from AI tools which can handle coding, testing, documentation, and support tasks. Vishal Sikka’s startup is not a side experiment; it is a deliberate attempt to turn the economics of services work on their head, replacing the assumption of big delivery teams with automation-first project delivery. According to Hang Ten’s June 24 press release, the company raised USD 32 million (approx. RM150 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, signalling that the company is ready to challenge the model that once paid him to keep automation at bay.
From OpenAI backer to AI-native attacker
The irony behind Hang Ten Systems AI is hard to miss: Vishal Sikka was at the helm of Infosys when the firm granted funding to help OpenAI get off the ground, and he is now using AI to attack the very services model that made his old industry rich. After stepping down from Infosys in August 2017 following a public fall-out with co-founder Narayana Murthy, Sikka founded Vianai Systems in 2019, an enterprise AI company seeded with USD 50 million (approx. RM235 million) and focused on human-centered AI for large enterprises. Hang Ten appears to be a new venture distinct from Vianai, though both share an enterprise AI focus, with Hang Ten’s pitch far more aggressive: AI can build, change, and run large-company software with far less human drag than the old outsourcing model requires. In other words, Sikka has gone from gently helping enterprises explore AI to intentionally stripping human billable hours out of their technology budgets.
The automation-first model: agentic code vs armies of engineers
The core of this Vishal Sikka startup is its claim that AI-native delivery can replace much of the labor arbitrage that traditional services firms sell. Hang Ten Systems says it is already working with large customers including Siemens Gamesa Renewable Energy and Fresenius on AI-native project delivery, using agentic code generation, a reusable skills library, and an expert FDE bench for enterprise transformations, finance, HR, and new product development. Strip away the marketing language and the intent is clear: automate the software work that global companies have spent decades handing to firms such as Infosys, Tata Consultancy Services, and Wipro. Hang Ten Systems AI is fresh, funded, and pointed straight at the labor model that made Sikka’s old industry rich, betting that AI changes the unit economics of services before the incumbents can fully defend them. If that bet pays off on a few flagship projects, it will be very hard for CIOs and CFOs to keep buying slow, manual transformations at full price.
A $250 billion industry under pressure—and Indian tech leaders split
Hang Ten Systems arrives at a moment when the AI IT services disruption story is already rattling investors. Nasscom expects the broader technology industry to reach about USD 315 billion (approx. RM1.48 trillion) in FY26, while coverage this year has described the software services slice as a roughly USD 250 billion-plus market under AI pressure. Jefferies has warned that a severe AI disruption case could drive another 30% to 65% valuation derating for parts of the sector, reflecting real public-market anxiety rather than startup hype. Indian tech leaders are split in their response: Infosys chairman Nandan Nilekani has told shareholders that AI will amplify companies like Infosys rather than replace them, pointing to a USD 300 billion to USD 400 billion (approx. RM1.41–RM1.88 trillion) AI-first services opportunity by 2030. Sikka’s move says the quiet part out loud: amplification is not guaranteed when automation is pointed at your most profitable work.
Redesigning global services: why Hang Ten matters beyond its funding
It is tempting to dismiss Hang Ten as another AI startup with a colourful metaphor—Sikka describes the current AI moment as a massive wave and “hanging ten” as mastering it rather than surviving it. That would be a mistake. This is an automation-first challenge crafted by someone who understands why clients tolerate long delivery cycles, why procurement sticks with familiar vendors, and why replacing a big services firm is usually harder than showing a faster demo. Hang Ten is betting that once enterprises see AI-native delivery work at scale, the conversation will shift from whether AI can do services work to how fast they can restructure contracts around it. He has also been vocal that Indian tech leaders should build their own foundation models rather than conceding that space to the US and China, and Hang Ten Systems represents a strategic pivot toward AI-driven enterprise solutions that attack global business models, not just single workflows. If Sikka is right, the future services champions will be those that treat automation as the default, not a defensive add-on.
