Vishal Sikka, the former chief executive of Infosys, has launched a new artificial-intelligence startup that aims to overhaul the global IT services industry his former company helped define. The venture, called Hang Ten Systems, has raised $32 million in a seed funding round, and it arrives with an explicit mission: to challenge the labor-intensive outsourcing model that has powered firms like Infosys and Tata Consultancy Services for decades. For more on the startups reshaping the enterprise tech landscape, follow our AI startups coverage.
The launch marks a notable return for one of the technology world's most closely watched executives, and it puts Sikka back in direct competition with the very industry he once led — an industry he now argues is ripe for fundamental change.
A Familiar Name With a New Thesis
Sikka served as CEO and managing director of Infosys from 2014 to 2017, a tenure in which he pushed India's second-largest IT services firm toward automation, design thinking and newer technologies. After leaving Infosys amid a governance dispute with its founders, he founded VianAI, an enterprise AI startup. Hang Ten Systems represents his most ambitious attempt yet to fuse his experience in services with the capabilities of modern large language models.
According to reporting from TechCrunch and others, the new company is backed by Mayfield and Aramco Ventures, and it has assembled a founding team drawn from veterans of SAP, Infosys and VianAI. That lineage matters: the team combines deep knowledge of how enterprise IT actually gets delivered with hands-on experience building AI systems.
Targeting a $250 Billion Industry
Hang Ten Systems is going after the roughly $250 billion IT services market, an industry long built on a simple formula — deploy large numbers of skilled engineers to maintain, integrate and run other companies' software. Sikka's bet is that AI can compress the labor that formula requires, allowing a far smaller team to deliver work that once demanded armies of developers and project managers.
An AI-native services firm would use autonomous agents and large language models to handle much of the coding, testing, monitoring and support work that is currently billed by the hour. The appeal for enterprise customers is obvious: faster delivery, lower cost and round-the-clock capacity that does not depend on staffing levels or shift schedules. The challenge is equally obvious: demonstrating that AI can reliably handle the messy, mission-critical work that large organizations depend on without the safety net of experienced humans.
The Irony at the Heart of the Venture
Hang Ten Systems arrives with a pointed back-story. During his time at Infosys, Sikka championed automation and AI tools that, if taken to their logical conclusion, would reduce the very billable-headcount model on which IT services firms rely. Startup Fortune reported that the new company wants to do what Infosys once effectively paid Sikka to prevent — automate away the labor that is the industry's core product.
That tension is not lost on observers. Traditional IT services firms have talked about AI-driven productivity for years while quietly protecting the revenue that comes from large teams of engineers. A competitor with no legacy services business to defend has every incentive to push automation as far as it can go, forcing incumbents to either follow suit or watch their margins erode.
What the Funding Signals
A $32 million seed round is substantial, and the identities of the backers are telling. Mayfield is a Silicon Valley venture firm with a long track record in enterprise technology, while Aramco Ventures — the investment arm of the Saudi state oil company — brings access to one of the world's largest potential enterprise customers and the capital of the Gulf's diversification push. The combination suggests Hang Ten Systems is being built for global scale from day one, with both the technical credibility and the deep-pocketed customers needed to take on entrenched incumbents.
For Sikka personally, the launch is a chance to close the loop on ideas he has advocated for more than a decade. The question now is whether the technology has finally caught up with the thesis — whether today's AI is capable enough to deliver IT services at a quality and reliability level that enterprises will trust with their most important systems.
The Stakes for the Services Industry
The implications extend well beyond one startup. If an AI-native model proves viable, it would pressure the entire services industry to rethink how it prices work, how it staffs projects, and what value it actually delivers. The firms most exposed are those whose economics depend on selling human time by the hour — exactly the model Hang Ten Systems wants to obsolete.
Incumbents are not standing still. Infosys, TCS, Accenture and others have been racing to embed AI into their own delivery models, and several have reported that generative AI is already beginning to reshape how they bid for and execute contracts. Whether they move fast enough to defend their position, or whether a new generation of AI-native competitors eats into their margins, will be one of the defining contests in enterprise technology over the coming years.
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