Defining Hang Ten Systems and its AI-native ambition
Hang Ten Systems is an enterprise-focused, AI-native IT services startup founded by former Infosys CEO Vishal Sikka to replace labor-heavy outsourcing with software agents that build, change, and run large-company systems at a fraction of traditional effort. Sikka’s new company launches with USD 32 million (approx. RM148 million) in seed funding led by Mayfield and a strategic investment from Aramco Ventures, signaling serious intent rather than an experimental side project. Rather than selling classic consulting or staff augmentation, Hang Ten wants enterprises to treat AI as a “force multiplier” embedded into everyday operations. Early clients such as Fresenius and Siemens Gamesa Renewable Energy show that the firm is already deploying AI-native project delivery in production environments. In a services market estimated at roughly USD 250 billion (approx. RM1.16 trillion), Hang Ten is positioning itself as a proof point for large-scale enterprise AI disruption.
From Infosys to AI-native IT services
Sikka’s credibility in AI-native IT services rests on an unusual career arc that spans legacy outsourcing, enterprise software, and early AI investment. At Infosys, he led one of the archetypal global services firms whose revenue depends on large teams, long projects, and recurring support contracts. During his tenure, Infosys even provided a grant that helped OpenAI get off the ground, giving Sikka a front-row view of foundation model potential years before today’s generative AI wave. After leaving Infosys, he founded Vianai Systems in 2019 with a thesis of human-centered AI for big companies and built products such as hila, a conversational analytics tool for finance teams. That path, plus board roles at large industrial and technology companies, means he understands both how clients buy traditional services and where AI can compress that model. Hang Ten is his sharpest break yet from the labor-arbitrage logic he once helped scale.
Inside Hang Ten’s AI-native delivery model
Hang Ten Systems describes its approach as AI-native project delivery built on agentic code generation, a reusable skills library, and a compact bench of expert functional and domain engineers. In practical terms, that means software agents draft and modify code, generate tests, and connect systems, while human experts design the goals, verify outcomes, and handle edge decisions. The company is focusing on functions where IT services transformation budgets are large and repetitive: finance, HR, enterprise transformations, and new product development. By standardizing reusable “skills” across engagements, Hang Ten aims to cut the need for large, project-specific teams that dominate traditional IT services. According to the company’s launch communications, current work with Siemens Gamesa Renewable Energy and Fresenius is already centered on this AI-native IT services model, rather than classic time-and-materials outsourcing, making these early case studies crucial to prove that AI can own the critical path of enterprise delivery.
Targeting a $250B market under AI pressure
Hang Ten’s timing is tuned to public-market anxiety about enterprise AI disruption. Economic Times coverage cited in the sources describes the software services industry as a roughly USD 250 billion-plus (approx. RM1.16 trillion) market now facing pressure from AI tools that automate coding, testing, documentation, and support. Investors and analysts are debating how far AI can compress the billable work that underpins valuations of large IT services incumbents. At the same time, industry leaders are pitching an AI-first services transformation, with some executives talking about a USD 300 billion to USD 400 billion AI-focused opportunity by 2030. Hang Ten is not trying to own that entire market. Instead, it is attacking the most exposed assumption: that complex enterprise software projects must be done by large human teams. If its early lighthouse projects show reliable results, it could reset pricing and expectations in selected high-value pockets.
What Hang Ten signals for IT services transformation
For incumbent providers, Hang Ten Systems is less a direct competitor today and more a sharp signal about where IT services transformation is heading. Established firms still have clear advantages: decades-long client relationships, compliance and delivery infrastructure, and the scale to handle regulated enterprises. Hang Ten, by contrast, has a small team, USD 32 million (approx. RM148 million) in seed capital, and a focused story about AI-native IT services. But startups do not need to replace the big players to change the game. If Hang Ten can prove that AI agents plus a small expert bench can deliver core enterprise projects faster and cheaper, traditional vendors will be pressed to rewire their own operating models. For enterprises, Sikka’s new venture offers a testbed to explore AI-first delivery without waiting for incumbents to move beyond slideware and partner logos.
