Indian Tech Tycoon Bets $30M of His Own Money to Build an AI-Powered Alternative to Microsoft Office
Score
53Why selected
The venture has a clear market-disrupting intent and strong founder credentials, but the product is yet to launch, carrying execution risks.
AI commentary
「This marks a significant attempt to apply AI in the office software space, potentially reshaping the market landscape for enterprise productivity tools.」
Quick overview
Indian tech entrepreneur Bhavin Turakhia has announced a $30 million personal investment in Neo, his fifth venture, aiming to build an AI-powered alternative to Microsoft Office and Google Apps. The company focuses on AI-driven document collaboration and productivity enhancement for enterprises.
- Bhavin Turakhia invests $30M of his own money to launch Neo, directly challenging Microsoft Office and Google Apps
- Neo is his fifth venture and first foray into enterprise software
- Core features include AI-powered document collaboration and productivity enhancements
Full text
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 TechCrunch he is 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.
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 told TechCrunch that it expects to grow to around 100 employees by the end of the year, with most new hires focused on AI and software engineering.
Topics
AI, Bhavin Turakhia, Enterprise, India, microsoft office, neo, StartupsWhen you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Reporter
Jagmeet covers startups, tech policy-related updates, and all other major tech-centric developments from India for TechCrunch. He previously worked as a principal correspondent at NDTV.
You can contact or verify outreach from Jagmeet by emailing mail@journalistjagmeet.com.
View Bio
November 4
Boston
Last chance to save up to $190 on TechCrunch Founder Summit. Join 1,000+ founders and VCs at all stages for real-world scaling insights and connections that move the needle.
Savings end June 26, 11:59 p.m. PT.
Most Popular
-
Chevy built an all-American EV truck — why is nobody buying it?
-
Mark Zuckerberg tells staff that AI agents haven’t progressed as quickly as he’d hoped
-
Jersey Mike’s IPO illustrates how bad the AI hype has become
-
After $18B IPO, Bending Spoons founder says success comes from minimizing luck
-
-
-
Flipper Device’s new Busy Bar is a customizable display for productivity
Related items
92
FeaturedOpenRouter Launches Prompt Caching with Sticky Routing to Drastically Reduce Multi-Turn Costs
OpenRouter 推出提示缓存与粘性路由,大幅降低多轮对话成本
For developers making frequent AI API calls, this feature is a direct money-saver. Sticky routing guarantees cache hit rates, and session_id requires zero configuration—every OpenRouter user should try it immediately.
91
FeaturedChatGPT Work: An AI Agent That Takes Action Across Apps and Files
ChatGPT Work:可在跨应用和文件中执行操作的AI Agent
I think this is a key step for AI assistants moving from Q&A to execution. Especially noteworthy for professionals who need to automate complex workflows. ChatGPT Work could become a new paradigm for productivity tools.
90
FeaturedAnatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
前沿实验室代理入侵事件技术时间线:2026年7月事件剖析
This technical timeline is a must-read for all AI security researchers and agent developers—it doesn't just describe one attack but sounds an alarm on the weak defense systems of agent architectures. For teams deploying autonomous agents, this is an essential disaster prevention manual.
90
FeaturedBetter Tools Made Copilot Code Review Worse? Here's How GitHub Improved It
更好的工具反而让Copilot代码审查更糟?GitHub这样改进
This blog post deserves close reading by all AI product engineers and ML practitioners—it breaks the intuition that 'more powerful tools = better AI' and instead emphasizes an engineering philosophy aligned with agent reasoning patterns. Especially important for teams optimizing code review or similar agent-based products.
88
FeaturedOpenRouter Launches Unified Multimodal API: Single Endpoint for Image, Video, Audio, Embeddings, and Transcription
OpenRouter 推出统一多模态 API:单端点支持图像、视频、音频、嵌入与转录
This news is worth attention from all developers building multimodal AI applications: OpenRouter's unified API solves the pain of model switching, especially for startups or rapid prototyping. If you're struggling with multiple API keys and SDKs, this interface could be the unified layer you need.
87
FeaturedAnthropic Launches Claude for Teachers: AI Tools Designed for Educators
Anthropic 推出 Claude for Teachers:面向教师的教育 AI 工具
This announcement is valuable for educators and AI industry watchers alike. Instead of a generic chatbot, Anthropic designed a safety-first tool specifically for teachers, demonstrating the right approach for AI vertical deployment: solving real pain points rather than showing off technology. The built-in guardrails also set a reference for other AI companies, especially when serving scenarios involving children or teenagers.
86
FeaturedOpenRouter Introduces New Auto Router: Model Routing Powered by Market Wisdom
OpenRouter发布全新Auto Router:用市场智慧优化模型路由
This update is worth attention for anyone using APIs to build AI apps. Instead of guessing or testing model selection, market data now does the heavy lifting. Though sparse on details, the direction is right, especially for teams relying on aggregated model services.
86
FeaturedClaude Code v2.1.211 Release: Multiple Fixes and Improvements
Claude Code v2.1.211 发布:多项修复与改进
As a developer who frequently uses Claude Code for automated coding, I'm particularly interested in the security fixes, especially the permission preview character bypass and auto mode overriding hook decisions—these directly affect the security boundaries during team collaboration. The improvement in background agent reporting also makes long-running tasks more reliable. I recommend all users upgrade as soon as possible.