Former Infosys chief has a new startup that wants to challenge the IT services world

2026-06-24 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Fundamental Awareness, short

Summary

Hang Ten Systems, a new startup founded by former Infosys CEO Vishal Sikka, has secured a \$32 million seed round led by Mayfield, with strategic investment from Aramco Ventures. Launched recently, the company aims to disrupt the traditional IT services market by using AI to automate the continuous building, modification, and operation of enterprise software. This initiative challenges established firms like Infosys, which are also integrating AI through partnerships with companies such as Anthropic and OpenAI. Hang Ten is already working with customers like Siemens Gamesa Renewable Energy and Fresenius on AI-native project delivery. Sikka, who previously founded VianAI, leads a team including former SAP and Infosys executives, and the company plans global expansion.

Key takeaway

For Directors of AI/ML evaluating future IT services strategies, Hang Ten Systems' emergence signals a critical shift towards AI-native software development. Your teams should investigate how agentic code generation and reusable AI skills can reduce reliance on linear headcount scaling for enterprise software tasks. Consider piloting AI-driven automation for customization and maintenance to assess its potential for non-linear project delivery and cost efficiencies.

Key insights

AI-driven development and automation can fundamentally alter enterprise software delivery, moving beyond traditional IT services.

Principles

• AI can automate IT services tasks.
• AI-native models scale non-linearly.
• Domain expertise enhances AI application.

Method

Hang Ten's approach involves agentic code generation, reusable AI skills, and deep domain expertise to continuously build, modify, and operate software.

In practice

• Explore AI for enterprise software customization.
• Evaluate AI-native project delivery models.

Topics

• AI Services
• Enterprise Software
• IT Services Disruption
• AI-native Development
• Agentic Code Generation
• Startup Funding

Best for: CTO, VP of Engineering/Data, Executive, Investor, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.