Former Infosys CEO Launches Hang Ten Systems to Disrupt IT Services with AI
Hang Ten Systems Aims to Redefine IT Services with AI
Vishal Sikka, the former chief executive of Infosys, announced the formation of Hang Ten Systems, a startup that will use AI‑driven development and automation to help enterprises continuously build, modify, and operate software. The company positions itself as an "enterprise AI services" firm that leverages agentic code generation, reusable AI skills, and deep domain expertise.
Seed Funding Secures $32 Million Backing
The venture closed a $32 million seed round led by Mayfield, with a strategic investment from Aramco Ventures and participation from a group of angel investors. The board now includes Yahoo co‑founder Jerry Yang.
- Lead investor: Mayfield
- Strategic investor: Aramco Ventures
- Board member: Jerry Yang
- Seed round size: $32 million
Financial Landscape and Market Size Projections
Analysts at Jefferies have warned that AI could be one of the first forces to meaningfully disrupt the IT services sector. Infosys itself projects that “AI‑first services” could represent a $300 billion‑$400 billion market by 2030. Meanwhile, Infosys shares have fallen more than 35 % this year, reflecting investor uncertainty.
- Projected AI‑first services market (2030): $300‑$400 billion
- Infosys share decline YTD: >35 %
Industry Reactions and Competitive Landscape
Traditional IT services firms are scrambling to integrate AI through partnerships with players such as Anthropic and OpenAI. Hang Ten’s early customers include Siemens Gamesa Renewable Energy and Fresenius, indicating strong enterprise interest in AI‑native project delivery.
- Key customers: Siemens Gamesa Renewable Energy, Fresenius
- Competitors pursuing AI: Infosys, TCS, Accenture (via partnerships with Anthropic, OpenAI)
Future Outlook: AI‑Driven Services vs. Traditional Consulting
Mayfield’s partner Navin Chaddha argues that traditional services scale linearly with headcount, whereas Hang Ten’s model “leverages growth with every project.” If the AI‑native approach proves scalable, it could reshape the economics of enterprise software delivery and force legacy firms to rethink their service models.
Analysts will watch Hang Ten’s ability to expand globally, hire across delivery, engineering, sales, and leadership, and convert early pilots into recurring revenue. Success could validate the view that AI expands the addressable market; failure may reinforce concerns about disruption.