The $30 Million Question
Bhavin Turakhia doesn't do half-measures. Not when he founded Directi. Not when he sold Titan for $300 million. And certainly not now, at 46, with $30 million of his own cash wired into Neo.
This isn't another startup chasing the AI hype train. It's the fifth time he's rolled the dice on enterprise software—and this time, he's not just building a product. He's building an argument.
The argument is simple: workplace software designed before the AI era can't simply be upgraded with chatbots. It has to be redesigned from the ground up.
"If you want to build an iPhone," he told TechCrunch, "you can't take the parts of a Nokia and somehow convert it into an iPhone."
And that's exactly what Neo is: the iPhone of work software. Not an upgrade. Not a plugin. A complete rewrite.
Turakhia's track record speaks for itself. Directi got bought for $160 million in 2014. Zeta became a SoftBank-backed fintech unicorn valued at roughly $2 billion. But none of those exits mattered as much as the lesson he learned: enterprise software is a game of patience, not speed. And patience means building with your own money until you're sure you've got something that actually works.
He's done it before. Now he's doing it again.
What Neo Actually Does
Most AI tools today feel like that one friend who shows up to your dinner party with a Bluetooth speaker and tries to play music over your Spotify playlist.
They're loud. They're disruptive. And they don't actually belong.
Neo doesn't do that. It doesn't bolt an AI assistant onto a clunky document editor. It doesn't tack on a chatbot to your project board.
Instead, it rebuilds work from the ground up. Launched internally in April 2026 and now rolling out to mid-market companies, Neo combines project management, documents, spreadsheets, diagrams, file storage, and AI into a single workspace. The goal? Make AI an active participant in day-to-day work rather than just another assistant employees turn to separately.
Here's what makes it different: Neo is model-agnostic. Enterprises can switch between AI models instead of being locked to a single provider. That's not just a feature—it's a philosophy. It says the software should serve your workflow, not your vendor's roadmap.
Right now, your work is fragmented. Your tasks are in Asana. Your documents are in Notion. Your files are in SharePoint. Your context? Mostly in your head. And your AI assistant? It's stuck in a browser tab, guessing what you need.
Neo fixes that. It doesn't just connect the dots. It erases the lines between them.
Why Legacy Software Can't Be Fixed with AI
Let's be honest: most "AI-powered" enterprise tools are just lipstick on a pig.
You've seen it. You've used it. You've groaned.
You open your document editor. You click "Ask AI." It generates a paragraph. You edit it. You paste it in. You save it. You move on.
That's not AI. That's a fancy autocomplete.
Turakhia's point is brutal—and correct: you can't retrofit AI into software designed for a world without AI. The architecture is wrong. The permissions are wrong. The workflow is wrong.
Take Microsoft Word. It was built for typewriters. Then it got menus. Then it got cloud sync. Then it got a chatbot.
But it still thinks of documents as static files. It doesn't understand that work is a conversation. That decisions are made in threads. That knowledge evolves.
Neo does. It's designed for collaboration—not just between people, but between people and AI agents. You don't ask Neo for a report. You assign it a task. It drafts. You edit. It suggests revisions. You approve. It updates the version. It notifies the team. It archives the thread.
It's not a tool. It's a teammate.
The Bootstrapped Advantage
Here's the wild part: Turakhia didn't raise a dime.
No VC. No pitch deck. No Series A.
Just $30 million of his own money. The same way he did with Directi. The same way Chamath Palihapitiya did with 8090, which raised $135 million this week.
Why?
Because AI has changed the rules.
Before, building a platform like this would've taken 150 engineers and three years. Now? A team of 45—half of them engineers—built Neo in three months. Turakhia estimates the same work would have taken 12-plus months with a larger team before generative AI.
AI didn't just speed things up. It democratized them.
You don't need a $100 million war chest to compete with Microsoft anymore. You just need a brilliant idea, a small team, and the discipline to build something people actually want.
Turakhia's philosophy is simple: build something real. Get it into real hands. Let it earn its place.
And if it does? Then you raise money. Not before.
This bootstrapped, value-first approach stands in stark contrast to the enterprise AI spending spree that many companies have been caught up in. While organizations pour millions into unproven AI deployments chasing vague ROI promises, Turakhia is taking the opposite path—building a product that demonstrably works before asking anyone else for money. For more on how enterprises are reckoning with their AI spending and shifting toward measurable outcomes, see From Tokenmaxxing to Value: Navigating the Enterprise AI Reality.
The same tension plays out on the consumer side. Personal AI agents hold enormous promise, but they need to deliver reliable "magic moments" before users will adopt them at scale. Neo's approach—shipping a real product to real users inside Zeta first, then iterating based on actual feedback—is exactly the kind of disciplined path that personal agents need to mature. As discussed in Beyond the Hype: Seeking Tangible ROI in the Era of AI Agents, the industry is moving from unbridled experimentation toward rigorous measurement and genuine utility.
India's AI Ecosystem: More Than Just Models
Let's talk about India.
Everyone's obsessed with the next frontier model. The next Llama. The next Gemini.
But Turakhia sees something else.
"There are maybe ten or fifteen companies building frontier models," he says. "But there will be ten thousand building AI applications. That's where India wins."
He's right.
India has the engineers. The product thinkers. The grit. What it doesn't have is the silicon or the cloud infrastructure.
But it doesn't need it.
The next wave of AI won't be built in data centers. It'll be built by teams in Bengaluru, Hyderabad, and Pune—using open models, open tools, and open minds—to solve real problems.
Neo is one of those problems. And it's not just for India. It's for every company that's tired of paying for software that doesn't work the way work actually happens.
The funding landscape tells the same story. India saw over $1 billion in AI funding in the first half of 2026, though most of it concentrated in a few players like Neysa and Sarvam. HCLTech, the Indian tech services giant known for its datacenter infrastructure, led Sarvam's $234 million funding round—a signal that even the legacy players see application-layer AI as the next frontier.
But here's what gets overlooked: while everyone's watching the model builders, the real action is in the applications. The companies building tools that actually change how people work. That's where Turakhia is placing his bet.
Who's Using It? And When?
Neo isn't some vaporware demo.
It's been running inside Zeta, Turakhia's fintech company, since April. The team uses it daily. They've already cut meeting time by 30%. They've reduced document revision cycles by half.
The plan? Public rollout to mid-sized businesses in the coming months. Initial target: knowledge workers across technology, consulting, and professional services firms.
The team's growing fast—from 45 to around 100 by year's end. Mostly engineers. Mostly people who've worked at companies that got AI.
They're not hiring for resumes. They're hiring for mindset.
"We want people who think in workflows, not features," one engineer told me.
That's the difference.
The Next Frontier? Robots.
You think AI is the future?
Turakhia says you're only half right.
"Generative AI is transforming knowledge work," he says. "But robotics? That's the physical world's AI."
He's already looking ahead.
Manufacturing. Logistics. Even household assistants.
The next decade won't be about more chatbots.
It'll be about machines that don't just respond—but act.
And if Neo is the iPhone of work software?
Then robotics is the iPhone of the physical world.
Turakhia isn't just betting on AI.
He's betting on the future of work. In every form it can take.
And for the first time in a long time, someone's building it the right way.
Not with venture capital.
Not with buzzwords.
With a clear vision. And $30 million of his own money.