Hang Ten Systems: An AI Wave Aimed at a $250B Industry
Hang Ten Systems is an AI-native enterprise startup founded by former Infosys CEO Vishal Sikka to automate and transform large-company software work, using agentic code generation and reusable AI skills to challenge the labor-heavy IT services model that dominates a roughly $250 billion-plus industry under AI pressure. Vishal Sikka’s startup arrives with USD 32 million (approx. RM150 million) in seed funding led by Mayfield and backed by Aramco Ventures and angel investors, positioning Hang Ten Systems AI as a direct shot at the assumptions that made his old sector wealthy. This is not a side project or advisory gig; it is a pointed bet that enterprise AI solutions can do far more of the building, changing, and running of software than traditional outsourcing firms want to admit. The headline truth is blunt: AI IT services disruption will be driven not by powerpoints from incumbents, but by founders ready to cannibalize their own past.
From OpenAI Backer to AI-Native Disruptor
Sikka has been here before, but on the other side of the table. As Infosys CEO, he oversaw a grant that helped OpenAI get off the ground, long before foundation models were boardroom staples. Now, with Hang Ten Systems, he is no longer funding the future at arm’s length; he is building it into the heart of enterprise software work. His path matters. After an acrimonious exit from Infosys in 2017, he founded Vianai Systems in 2019, an enterprise AI company seeded with USD 50 million (approx. RM235 million) to make AI usable for executives and developers. That work, plus board roles at major technology and industrial firms, gave him a front-row seat to AI’s limits and possibilities, and he has been vocal about the efficiency gap between human thinking and current AI systems, arguing that new models and approaches are needed rather than incremental tweaks. Hang Ten Systems is his decision to act on that thesis.
What Makes Hang Ten Systems’ AI-Native Business Model Different
Hang Ten Systems AI is not another vague transformation consultancy talking up digital journeys; it is built to replace specific IT services workflows. The company describes its AI-native business model around agentic code generation, a reusable skills library, and an expert bench focused on finance, HR, enterprise transformations, and new product development. In plain terms, Vishal Sikka’s startup wants AI agents to do much of the coding, testing, documentation, and change management that currently fuel large outsourcing contracts, with human experts stepping in for judgment and complex edge cases. Crucially, Hang Ten is already in the field, working with customers such as Siemens Gamesa Renewable Energy and Fresenius on AI-native project delivery, rather than staying in pilot purgatory. "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."
A Direct Challenge to the IT Services Labor Model
The real story is where Hang Ten aims its fire: the labor model that made large IT services companies rich. For decades, global firms assumed enterprise software required armies of engineers, deep offshore benches, and endless project management, creating a comfortable, billable buffer between business needs and working systems. Hang Ten Systems argues that this assumption is now financially weak. Nasscom sees the wider technology industry heading toward about USD 315 billion (approx. RM1.48 trillion), while Economic Times coverage has pegged the software services slice at roughly USD 250 billion-plus under growing AI pressure. Investors are uneasy; Jefferies has warned that a severe AI disruption scenario could drive another 30% to 65% valuation derating for major services players. In that climate, Hang Ten’s bet is clear: AI can change unit economics faster than incumbent providers can fully defend their old revenue pools, especially in complex sectors like energy and heavy industry where Aramco Ventures’ backing gives it a strategic foothold.
What Sikka’s Move Signals for Tech Leaders and Enterprise AI
Sikka’s pivot from leading a traditional services giant to building AI-native enterprise solutions is part of a broader shift among tech veterans who no longer see legacy models as safe bets. While incumbent firms talk about AI as an amplifier and forecast AI-first services opportunities of hundreds of billions of dollars by 2030, they remain tied to the same structures of client relationships, compliance, delivery centers, and long implementations. Hang Ten Systems has less capital and no decades-long contracts, but it has a sharper, more aggressive thesis: that AI IT services disruption will start wherever the labor arbitrage looks most replaceable. Sikka has repeatedly argued that new foundation models and human-centered AI approaches are strategic priorities, not side interests. His new venture turns that argument into action, and it should be read as a warning: when leaders who built the old system start designing businesses to undermine it, the inflection point is no longer theoretical — it is underway.
