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Indian tech tycoon bets $30 Million to build an AI alternative to Microsoft Office

AI-native work platforms could chip away at incumbents that bolt AI onto software built for a pre-AI era.

Key takeaways

  • Indian serial entrepreneur Bhavin Turakhia is putting $30 million of his own money into Neo, a new enterprise AI company.
  • Neo combines project management, documents, file storage and AI in one product, and is model-agnostic so firms can switch AI models.
  • Turakhia says Neo's first platform was built in three months using AI, work he estimates would have taken over a year before.
  • The Bengaluru startup has about 45 staff and plans to roll Neo out to mid-sized businesses in the coming months.
Cite or link to this article

Griffin, M. (2026) 'Indian tech tycoon bets $30 Million to build an AI alternative to Microsoft Office', 311 Institute, 1 July. Available at: https://www.311institute.com/neo-ai-native-alternative-microsoft-office-bhavin-turakhia/ (Accessed: 25 October 2026).

A little while ago Elon Musk created Microhard, a tongue in cheek company designed to rapidly clone Microsoft’s products using Artificial Intelligence (AI), and now Indian serial entrepreneur Bhavin Turakhia is making a $30 Million personal bet that there is still room for another enterprise AI company. His new venture, Neo, is built on a simple premise: Workplace software designed before the AI era cannot simply be upgraded with chatbots - it has to be redesigned from the ground up.

Turakhia, 46, is no stranger to ambitious enterprise technology bets. Over the past two decades, he has co-founded companies including Directi, Radix, Titan, and banking software firm Zeta, largely backing them with his own cash before bringing in outside investors. He’s doing the same with Neo.

Turakhia told reporters he’s bootstrapping this much money because he believes AI marks a technology shift significant enough to justify rebuilding workplace software from scratch.

“If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” he said.

The Future of AI, Software, Work, and Leadership, a keynote by futurist Matthew Griffin

Launched internally in April this year, Neo is an enterprise work platform that combines project management, documents, file storage, and AI into a single product. The goal, Turakhia said, is to make AI an active participant in day-to-day work rather than just another assistant employees turn to separately.

Turakhia argued most incumbents face a structural disadvantage when adding AI to products designed before generative AI. Neo, he said, was designed from the ground up for AI and is model-agnostic, allowing enterprises to switch between AI models rather than being tied to a single provider.

He’s not alone in thinking this way. Investor Chamath Palihapitiya initially launched enterprise AI coding venture 8090 with his own capital before raising a $135 million funding round this week.

Still, Turakhia’s bet comes as enterprise AI has emerged as one of the most competitive areas in technology. Microsoft, Google, and Salesforce are embedding AI across their workplace software. Meanwhile every startup, from the giant labs like Anthropic and OpenAI, to the productivity companies like Notion and Superhuman, are racing to reshape how businesses use AI in their daily workflow.

Turakhia argued enterprise software has never been a winner-takes-all market, saying even a small share of global enterprise AI spending would represent a sizeable company.

“Even if we end up with 2% to 5% market share, that’s larger than anything I’ve built so far,” he said.

For the past few months, Neo has been in internal use across Turakhia’s companies, including Zeta. The company plans to begin rolling out the software to mid-sized businesses in the coming months, initially targeting knowledge workers across technology, consulting, and professional services firms.

Turakhia said Neo’s initial platform was built in three months, with AI extensively used in the development process, work he estimates would have taken more than a year with a much larger engineering team before generative AI.

The Bengaluru-based startup currently employs about 45 people, including 18 engineers. Turakhia said he expects it to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering.

First published on Fanatical Futurist on 1 July 2026.

311 Intelligence

What this means

Analysis by the 311 Strategic Intelligence Unit

The big shift is from adding AI to old software to building work software around AI. Bhavin Turakhia is betting $30 million of his own money that tools designed before generative AI cannot simply be upgraded with chatbots. Neo puts project management, documents, file storage and AI in one product, and lets firms switch between AI models. Our Starburst data shows why the timing matters: Generative Artificial Intelligence already reached wide use in 2025 and we rate it Act now, and we track AI Written Code Surge, AI agents writing close to half of professional developers' code, as an Act now trend.

What it means by sector.

  • Software vendors: Microsoft, Google and Salesforce are embedding AI across their workplace software, while Anthropic, OpenAI, Notion and Superhuman race to reshape daily workflows. A newcomer only needs a small share to matter: Turakhia says 2% to 5% would be larger than anything he has built.
  • Technology, consulting and professional services: these knowledge worker firms are Neo's first targets. A model-agnostic platform speaks directly to buyers worried about being tied to one AI provider, a concern we track as Software Vendor Lock-In Squeeze, an Act now trend.
  • Every organisation building software: Neo's first platform took three months with heavy use of AI, work Turakhia estimates would once have taken more than a year with a larger team. That changes how much a small team can build and how fast rivals can appear.

What to do now.

  • Ask your workplace software vendors whether AI is built into how the product works or added on top, and how easily you can switch AI models.
  • Avoid long licence commitments that lock you to one AI provider while AI-native platforms are still arriving.
  • Test one AI-native work tool with a single team and measure what changes in day-to-day work, not just features.

The Starburst technologies behind this story

From the 311 Technology Starburst (first product, expected wide use and readiness):

Technology Category First product Wide use Action TRL
Generative Artificial Intelligence Intelligence 2021 2025 Act now 9
Agentic Artificial Intelligence Intelligence 2024 2028 Prepare 8
Compound Artificial Intelligence Intelligence 2024 2027 Act now 9

And the trends they feed, from the 311 Trends Starburst:

Trend Wide use Action
AI Written Code Surge 2026 Act now
Software Vendor Lock-In Squeeze 2026 Act now
AI Agents Replacing Seats 2029 Prepare

How this moves the trend

Incumbents moved first by bolting AI onto existing products. Microsoft launched its ChatGPT powered Copilot in 2023. By 2025 Microsoft's own CEO was weighing in on AI agents ending SaaS, and Elon Musk launched Microhard to clone Microsoft's SaaS stack. Neo is backed by a founder putting his own money behind the idea that work software must be rebuilt for AI.

Go deeper with 311

FAQ

What is Neo, Bhavin Turakhia's new company?

Neo is an enterprise work platform that combines project management, documents, file storage and AI in a single product. Turakhia is funding it with $30 million of his own money, and it was designed from the ground up for AI rather than having AI added to older software.

Why does Turakhia think workplace software must be rebuilt?

He argues software designed before generative AI cannot simply be upgraded with chatbots and that incumbents face a structural disadvantage. As he put it, you cannot take the parts of a Nokia and convert them into an iPhone.

Who will Neo compete with?

Neo enters a crowded market. Microsoft, Google and Salesforce are embedding AI across their workplace software, while Anthropic, OpenAI, Notion and Superhuman are all racing to reshape how businesses use AI in their daily workflow.

Who will be able to use Neo and when?

Neo has been used internally across Turakhia's companies, including Zeta. It will begin rolling out to mid-sized businesses in the coming months, first targeting knowledge workers in technology, consulting and professional services firms.

How big does Turakhia expect Neo to become?

He says enterprise software has never been winner-takes-all, and that even a 2% to 5% market share would be larger than anything he has built so far. He expects headcount to grow from about 45 to around 100 by the end of the year.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Neo neo.work
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