For decades, the global IT services industry—a multi-billion-dollar engine powered by human capital—has operated on a predictable, linear model. Giants like Infosys, TCS, and Wipro built their empires by deploying legions of engineers to customize, integrate, and maintain complex enterprise software. It was a high-touch, labor-intensive business where growth was tethered to headcount.
Today, that model faces an existential pivot. Vishal Sikka, the former CEO of Infosys and a veteran of enterprise software titan SAP, is betting that the future of this industry is not written by the hour, but by the agent. His latest venture, Hang Ten Systems, has emerged from stealth with a $32 million seed funding round, signaling a bold attempt to automate the very foundation of IT consulting.
The Genesis of Hang Ten: A New Approach to Enterprise Software
Hang Ten Systems, headquartered in the Bay Area, is positioning itself as an “AI-native” services firm. Unlike traditional consultancies that use AI as a tool to improve the efficiency of human workers, Hang Ten is built around the concept of agentic code generation and autonomous software maintenance.
The startup’s seed round, announced this week, was led by Mayfield, with strategic backing from Aramco Ventures and a suite of prominent angel investors. Perhaps most notably, the startup’s board includes Yahoo co-founder Jerry Yang, lending significant institutional credibility to Sikka’s vision.
According to Sikka, the company is designed to help enterprises “continuously build, modify, and operate” software using AI-driven development. In a blog post announcing the venture, the 59-year-old technologist framed the mission as helping companies “hang ten on the biggest wave of our lifetimes”—a reference to the transformative potential of artificial intelligence in the enterprise.
A Proven Leadership Team
Hang Ten is not a collection of newcomers; it is a reunion of sorts for some of the most experienced minds in enterprise AI. The founding team consists of long-time collaborators who have worked with Sikka across SAP, Infosys, and his previous startup, VianAI.
- Navin Budhiraja serves as the company’s Chief Technology Officer.
- Sanjay Rajagopalan holds the role of Chief Design Officer.
- Tao Liu is the Senior Vice President of Forward Deployed Engineering.
This tight-knit team brings deep domain expertise in navigating the complexities of large-scale enterprise deployments, a factor that Mayfield managing partner Navin Chaddha cited as a primary reason for the firm’s investment. Chaddha noted that despite being only a month old, Hang Ten has already secured enterprise customers, including Siemens Gamesa Renewable Energy and Fresenius.
Distinguishing Hang Ten from VianAI
Industry observers have naturally drawn comparisons between Hang Ten and Sikka’s previous startup, VianAI. After departing Infosys in 2017, Sikka founded VianAI, which successfully raised $50 million in seed funding in 2019 and followed up with a $140 million round led by SoftBank Vision Fund 2 in 2021.
However, Chaddha is quick to distinguish the two. While VianAI focused on developing enterprise AI applications and analytics tools to support business decision-making, Hang Ten is fundamentally a services entity. Its core value proposition lies in “agentic code generation” and “reusable AI skills.” While VianAI was about the what—building the AI—Hang Ten is about the how—delivering the software engineering outcomes through autonomous agents.
The Financial and Strategic Implications
The arrival of Hang Ten comes at a precarious moment for the legacy IT services sector. For the last year, the industry has been grappling with the "AI disruption" narrative. Analysts at Jefferies have suggested that IT services firms may be the "first real example of AI disruption," where the ability to charge for labor hours is cannibalized by the falling cost of automated code generation.
Traditional firms are scrambling to adapt. Infosys has formed high-profile partnerships with Anthropic and OpenAI to integrate generative AI into their service offerings. Infosys chairman Nandan Nilekani has publicly championed the idea that AI will expand the industry’s addressable market rather than shrink it, projecting an "AI-first services" opportunity of $300 billion to $400 billion by 2030.
Yet, the market remains skeptical. Infosys shares have faced significant headwinds, declining over 35% this year as investors weigh the potential of AI against the threat of margin erosion in traditional service delivery.
Why the "AI-Native" Model Matters
Mayfield’s investment in Hang Ten underscores a fundamental shift in how venture capital views the services market. The core thesis is one of scalability.
"Traditional services scale linearly with headcount," Chaddha told TechCrunch. "Hang Ten is built so its leverage grows with every project."
This is the "Holy Grail" of the services industry. In a traditional firm, if a company wants to double its revenue, it often needs to double its staff. An AI-native firm, however, seeks to build a library of reusable AI skills and agents. Once an agent is trained to handle a specific type of software migration or integration, it can be deployed across dozens of clients with minimal incremental cost. This creates a compounding effect, where the company’s internal intellectual property becomes more valuable—and more powerful—with every successful engagement.
Chronology of the Shift
- 2014–2017: Vishal Sikka leads Infosys, emphasizing a transition toward AI and automation, setting the stage for his current philosophy.
- 2017: Sikka steps down as CEO of Infosys and founds VianAI, focusing on AI applications and data analytics.
- 2019–2021: VianAI raises significant capital ($190M total), proving the market’s appetite for enterprise AI solutions.
- 2024: The generative AI boom forces legacy IT services firms into an urgent, industry-wide pivot, marked by partnerships with OpenAI and Anthropic.
- 2026 (June): Hang Ten Systems launches with $32M in funding, aiming to replace the labor-heavy consultancy model with agentic, AI-driven automation.
The Road Ahead: Challenges and Opportunities
Despite the excitement, Hang Ten faces a steep climb. Changing the procurement habits of Fortune 500 companies is notoriously difficult. These firms are accustomed to buying "people hours" and are often wary of black-box AI solutions that may introduce security or compliance risks.
Furthermore, Hang Ten must navigate a competitive landscape where established giants have massive customer bases and existing trust. The startup’s success will depend on its ability to prove that its agents can handle the "last mile" of enterprise software development—the complex, messy, and highly specific integrations that require deep institutional knowledge.
Conclusion: A New Frontier for Enterprise Tech
Hang Ten Systems represents the frontline of a broader, inevitable shift. Whether or not it succeeds, it has articulated the central question of the next decade: In a world where software can write itself, what is the role of the service provider?
If Sikka is right, the future of IT consulting is not about how many thousands of developers a firm can hire, but about how effectively it can orchestrate a fleet of autonomous agents. For the traditional IT giants, the message from the Valley is clear: adapt your margins, or prepare to be outpaced by those who can deliver the same value at a fraction of the human cost.
As the company hires aggressively across engineering, sales, and delivery, the industry will be watching closely to see if Hang Ten can indeed "hang ten" on the AI wave—or if the complexity of the legacy enterprise will prove too turbulent to automate.
Suro Senen
Raul Delapena Setiawan
