The Fifth Time's the Charm
Bhavin Turakhia doesn't do things halfway. Not when he founded Directi. Not when he sold Titan for $300M. 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 a rebellion.
"If you want to build an iPhone," he told me, "you don't take a Nokia and slap a touchscreen on it. You start over." 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 $160M. Zeta became a fintech unicorn. 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.
Neo Isn't a Tool. It's a Workspace.
Most AI tools today are 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.
Friday is the AI agent layer—connected to over a thousand apps, trained on your company's context, and constantly learning. Tasket handles work management not as a to-do list, but as a living flow of tasks, decisions, and outcomes. Studio is where knowledge lives—not buried in Slack threads or Google Drive folders, but organized, searchable, and sharable. Drive? That's your file system, but with version control that actually works for humans and bots.
This isn't about making your work faster. It's about making it coherent.
Because 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.
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.
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.
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? Closed beta this August. Public launch next spring.
Target audience? Mid-sized businesses. Knowledge workers. Consultants. Tech teams. People who are tired of juggling ten apps just to get one thing done.
The team's growing fast—from 45 to 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.
India's Real AI Edge
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 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.