Bhavin Turakhia has spent the better part of two decades building software businesses that eventually got scooped up—or partnered with—some of the tech industry's most formidable players. Web infrastructure, email platforms, banking technology: each venture followed a well-worn path toward validation from larger forces.
Now comes the pivot. And it's an expensive one.
The serial founder is sinking $30 million of his own money into Neo, a startup that aims to do what many consider either visionary or foolhardy, depending on whom you ask: challenge Microsoft 365 and Google Workspace head-on. Not in some narrow niche, but across the full suite of productivity tools that have become infrastructure for how millions of people work.
"Even if we end up with 2% to 5% market share," Turakhia said in an interview with TechCrunch, "it would be larger than anything I've built so far." It's the kind of statement that lands somewhere between ambition and acknowledgment—a recognition that even a sliver of the enterprise productivity market represents billions in potential revenue, but also that dislodging entrenched incumbents is a steep climb.
The bet Turakhia is making isn't about features. It's architectural. His argument: Microsoft and Google are retrofitting artificial intelligence onto systems designed in an earlier era, and that creates structural cracks a nimble competitor might exploit. Whether enterprises buy that thesis—and whether they'll tolerate the switching costs to prove it—remains very much an open question.
Building in Three Months, With AI Doing the Heavy Lifting
Neo launched earlier this year with four interconnected modules, developed in what Turakhia describes as a three-month sprint. The timeline alone raises eyebrows, until you learn that his team used AI extensively throughout the development process. There's a certain recursive irony to it: building an AI-native platform with the help of AI itself.
At the center sits Friday, an AI agent layer that connects to more than 1,000 external applications—email, calendars, CRM systems, ERP platforms, the usual enterprise sprawl. Tasket handles work management with AI woven in. Studio covers the document-spreadsheet-diagram territory that Microsoft Office has dominated for decades. Drive serves as the file repository, designed so humans and AI agents can collaborate within the same environment.
It's ambitious. Perhaps more ambitious than the compressed development window might suggest. The platform is already running internally across three companies Turakhia controls: Zeta, a banking technology firm; Titan, an email platform; and Radix, a domain registry business. But no external customers have been publicly named yet. The company has indicated plans for a closed beta later this year, with broader availability possibly arriving early next year—though anyone who's covered enterprise software knows those timelines tend to be aspirational.
One design choice stands out: Neo allows unlimited external guests within teams at no extra cost. It's a clear shot at the per-seat pricing models that have made Microsoft and Google enormously profitable but sometimes frustrating for companies that need to collaborate with contractors, clients, or partners. Turakhia is targeting mid-market companies and smaller enterprises in knowledge-work sectors—tech startups, SaaS companies, professional services firms—where flexibility might matter more than brand recognition.
The Model-Agnostic Gamble
The technical philosophy underpinning Neo revolves around what Turakhia calls "context fragmentation." Knowledge trapped in email threads. Data scattered across disconnected apps. Institutional memory that walks out the door when employees leave. These are familiar complaints, but Neo's pitch is that legacy productivity suites can't solve them without fundamental redesign.
The platform takes a model-agnostic stance, letting enterprises choose or swap between large language models from OpenAI, Anthropic, and others. It's a hedge, in some ways—no one knows which AI models will dominate in two or five years, so why lock customers into one? The company also emphasizes governance and visibility, surfacing AI activity rather than obscuring it. For enterprises wary of black-box systems making decisions they can't audit, that transparency could matter.
Turakhia frames AI as a "first-class participant" in Neo's architecture, not a feature bolted on. Whether that distinction resonates with IT departments evaluating productivity platforms is another matter. Skepticism runs deep in enterprise software, where the cost of being wrong isn't just money—it's workflow chaos, security vulnerabilities, and the wrath of employees forced to relearn basic tasks.
A Founder Who's Done This Before (Sort Of)
Turakhia isn't coming to this fight empty-handed. He and his brother co-founded Directi, whose various web businesses sold for $160 million in 2014. More recently, Titan—his email platform—attracted investment from Automattic in mid-2021, reportedly valuing the company at $300 million at that time. Zeta, the banking technology business, has publicly claimed a valuation in the neighborhood of $2 billion, though private company valuations are notoriously squishy until an actual transaction happens.
That track record gives Turakhia credibility, and perhaps more importantly, capital. The $30 million he's pouring into Neo should keep the lights on for over two years, he says, with spending concentrated on engineering and go-to-market execution. The team had grown to somewhere between 45 and 50 people as of mid-2026, including 18 engineers. Plans call for roughly doubling headcount to around 100 by year's end. Job listings on Neo's careers page suggest the company is hiring aggressively across senior engineering roles, product management, and finance positions, primarily in Bengaluru and Mumbai.
Funding it himself has advantages—no venture capitalists demanding growth at all costs, no board pressures to pivot or sell prematurely. But it also means the clock is his own money ticking away. Two years might sound like a comfortable runway, but enterprise sales cycles stretch long, and breaking into accounts locked into Microsoft or Google contracts requires patience, persistence, and often a bit of luck.
Pricing Secrets and Go-to-Market Mysteries
Neo plans to charge a per-seat fee plus token utilization costs, though the company hasn't disclosed specific numbers. Pricing in enterprise software is as much psychology as mathematics—charge too little and you signal weakness; charge too much and procurement departments balk. Where Neo lands on that spectrum will matter.
The go-to-market approach leans on what's become fashionable in SaaS: product-led "land-and-expand." Get a single team using Neo, prove value, then let adoption spread organically across the organization. It's a strategy that's worked for Slack, Notion, and others, but it requires a product compelling enough that users evangelize it internally. And it works better in younger, more nimble companies than in sprawling enterprises with strict IT policies.
The competitive landscape is, to put it mildly, crowded. Microsoft continues embedding AI throughout Office 365 under the Copilot brand. Google is doing much the same with Workspace. Notion has built a cult following and is layering in intelligence. Superhuman chases the email power user. Salesforce weaves AI into its CRM empire. Even Zoho, a domestic rival within India, has been quietly building a comprehensive suite that competes on price and features.
Turakhia acknowledges the competition but seems unfazed. Or perhaps he's simply realistic about the odds.
The Long Game in Bangalore
Whether Neo can pry loose meaningful market share from Microsoft and Google depends on execution, timing, and whether enough enterprises believe the AI-native architecture offers advantages worth the upheaval of switching. History isn't particularly encouraging—the productivity suite market has resisted disruption for decades, with even well-funded challengers struggling to gain traction.
But perhaps that history was written before AI genuinely changed the game. Or perhaps it's another case of underestimating the inertia of enterprise IT departments and the gravitational pull of incumbents.
For now, Turakhia is playing the long game with his own capital and a team building in Bangalore. The closed beta later this year will offer the first real signal of whether enterprises see what he sees: cracks in the foundation of tools they've relied on for years, and an opening for something built from scratch with intelligence baked in from the start.
It's a $30 million bet. And unlike venture-backed gambles, this one's personal.
