Hang Ten Systems launched yesterday with $32 million in seed funding and a direct challenge to the labor-intensive outsourcing model that built the Indian IT services industry.
Vishal Sikka knows this industry from the inside. He ran Infosys from 2014 to 2017, shepherding a company built on thousands of engineers doing software work for global enterprises. Now he's back with a startup whose central argument is that the work those engineers do can be handled, better and faster, by AI. It's the kind of bet that's easier to place from the outside.
Hang Ten Systems, based in Palo Alto, announced its $32 million seed round on June 24, led by Mayfield with a strategic investment from Aramco Ventures. Jerry Yang, co-founder of Yahoo, sits on the board. The company describes itself as an enterprise AI services firm that uses agentic code generation and a reusable skills library to continuously build, modify, and operate enterprise software at lower cost and on shorter timelines than traditional outsourcing models allow. A month in, it already has paying customers: Siemens Gamesa Renewable Energy and Fresenius, neither of which is the kind of reference you can fake.
The target is a $250 billion-plus IT services industry whose dominant players, Infosys, Tata Consultancy Services, Wipro, depend on scale. Thousands of people. Billable hours. Long delivery cycles managed through project management layers thick enough to slow almost anything. Hang Ten's pitch is that AI collapses that model. Not incrementally, but structurally. If an AI system can continuously build and modify enterprise software without the bench of engineers behind it, the entire economic logic of offshore delivery changes.
Whether $32 million is enough to make that case stick is a fair question. Incumbents aren't standing still. Infosys chairman Nandan Nilekani said this month that AI-first services could represent a $300 billion to $400 billion market by 2030, and Infosys, TCS, and Wipro have all moved to partner with Anthropic and OpenAI rather than wait to be displaced. Analysts at Jefferies argued earlier this year that IT services may be among the first sectors to face meaningful AI disruption. The incumbents, for their part, are trying to absorb that disruption rather than be defined by it.
Sikka has been here before, at least partly. He founded VianAI after Infosys, an AI platform company that raised more than $190 million, including $140 million from SoftBank Vision Fund 2 in 2021. VianAI never made much noise publicly, and Hang Ten arrives as a harder, sharper bet: not a platform in search of use cases, but a services model built for the enterprise deals Sikka spent years negotiating from the other side of the table. That specificity is a meaningful shift in positioning.
The more interesting strategic read in this raise is Aramco Ventures. Saudi Aramco's venture arm has been public about its push into AI, particularly AI that can be applied to operations, energy transition, and enterprise-scale software. Writing a strategic check into Hang Ten isn't just a financial bet on a single startup. It signals that Gulf sovereign capital is moving directly into AI-native enterprise software delivery, not just into AI infrastructure or semiconductors. If Hang Ten's model works even partially, it's the kind of capability Aramco would want access to for its own operations well before it becomes a commodity.
Frankly, that's the more durable validation here than the seed round size. Mayfield is a credible lead. But a strategic check from a $400 billion-plus oil company with its own massive enterprise software needs tells you something about what serious operators think AI can actually do to the services layer.
The harder challenge for Hang Ten isn't the first customer or the seed round. It's the second and third year, when incumbents with existing relationships, compliance track records, and thousands of people embedded inside client IT departments use every advantage they have to slow things down. Enterprise software deals are long, messy, and political. AI that builds and modifies code faster than a traditional team is a compelling pitch in a boardroom. Getting a procurement team at a regulated company to replace its long-term outsourcing partner is something else entirely.
Sikka's bet is that the wave is big enough that enterprises will have no choice but to ride it with someone. If he's right, being first with paying customers and a credible team at least puts Hang Ten in the room when those conversations happen. As Jefferies and others have noted, IT services is structurally exposed to this shift in a way that most industries aren't. The question isn't whether AI changes how enterprise software gets built. It's who captures that transition.
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