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The archive · AI & Models · Strategic decision · 2026

Ex-Infosys CEO Sikka's Hang Ten raises $32M to rebuild enterprise services with AI

Former Infosys CEO Vishal Sikka launched Hang Ten betting AI-generated code can replace long implementation cycles; $32M seed from Mayfield and Aramco

Hang Ten Systems

The betEnterprises adopt AI faster when services are rebuilt around agentic code generation and reusable skills instead of long config, integration and testing cycles.Live

What the business is

An enterprise AI services startup that builds and runs business software for large companies using an 'AI-native delivery model' of agentic code generation and reusable skill libraries.

Starting capital$32M seed (2026-06)

How it started

Vishal Sikka — former Infosys CEO, ex-SAP technology head and founder of Vianai Systems — co-founded Hang Ten Systems in Palo Alto and emerged from stealth in June 2026 with a $32 million seed led by Mayfield, with Aramco Ventures and angel investors participating. His argument: generative AI lets companies build in days what used to take years, so most enterprises should not stay stuck in the old implementation cycle.

What happened

Hang Ten focuses on software for finance, human resources and product development, and says it is already working with Siemens Gamesa Renewable Energy and healthcare company Fresenius on AI-native delivery initiatives. Mayfield managing partner Navin Chaddha said the firm invested at inception, betting that AI adoption becomes the defining factor in enterprise competitiveness. The round funds hiring across engineering, delivery, sales and leadership as it scales globally.

No ending yet — it is still running.

Background

Hang Ten Systems is an enterprise AI services startup co-founded by Vishal Sikka, former CEO of Infosys, ex-SAP technology head and founder of Vianai Systems. Based in Palo Alto, it emerged from stealth in June 2026 with a $32 million seed round led by Mayfield, with participation from Aramco Ventures and angel investors. Sikka argues that generative AI has cut the cost and time of building business software so sharply that most enterprises are now stuck at the starting line.

The company positions itself as an alternative to traditional enterprise software implementation: an 'AI-native delivery model' built on agentic code generation, reusable skills libraries and specialised engineering teams. It initially targets enterprise functions such as finance, human resources and product development, and says organisations can increasingly rely on AI-generated code instead of long cycles of configuration, integration and testing.

Hang Ten says it is already working with early customers including Siemens Gamesa Renewable Energy and healthcare company Fresenius. Mayfield managing partner Navin Chaddha said the firm backed the company at inception, betting that the gap between AI-enabled enterprises and the rest will define entire industries. The capital is earmarked for expanding engineering, delivery, sales and leadership teams as the startup scales globally.

What has to be true

  • Sikka's Infosys and SAP credibility let the company announce named enterprise customers at launch instead of building trust from zero
  • The thesis is contrarian within IT services: AI-generated code should shrink implementation cycles, not extend them
  • Mayfield and Aramco Ventures backed the round at inception, betting AI adoption decides enterprise competitiveness
  • Focusing on finance, HR and product development gives the delivery model a bounded first market

What can be applied

A famous operator compresses the trust-building phase: named logos and a credible founder make a seed read like a Series A. The test is whether agentic delivery outruns traditional services at scale.

Aftermath

As of September 1, 2026, Hang Ten Systems is still in its launch phase: it has named Siemens Gamesa and Fresenius as early customers, is hiring across engineering, delivery, sales and leadership, and is scaling enterprise partnerships globally. It has not disclosed revenue, headcount, pricing or follow-on funding, and its core claim — that agentic code generation can replace traditional implementation work in real enterprises — is still being proven. The company remains private and has announced no acquisitions or exit.

Sources

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