Neo bets $30M that you can't bolt AI onto old software
Bhavin Turakhia is self-funding Neo, an AI-native, model-agnostic rival to Office and Workspace. The real lesson for operators: when to rebuild vs. bolt on.
Every SaaS tool you use has shipped an AI chatbot in the last year. Most of them feel bolted on, because they are. Serial entrepreneur Bhavin Turakhia thinks that's a dead end, and he's putting $30 million of his own money into the opposite bet: a workplace suite designed AI-first from scratch, called Neo.
What actually happened
Per TechCrunch, Turakhia — founder of Directi, Radix, Titan, and Zeta — is self-funding Neo, a single platform folding project management, documents, file storage, and AI into one product aimed squarely at Microsoft Office and Google Workspace. His framing: "If you want to build an iPhone, you can't take the parts of a Nokia and somehow convert it into an iPhone."
Two details matter more than the pitch. First, Neo is model-agnostic — enterprises can switch between AI providers instead of being locked to one. Second, the build speed: the initial platform came together in about three months with roughly 45 people (18 engineers), work Turakhia estimates would have taken over a year before generative AI. Neo launched internally in April 2026 and starts rolling out to mid-sized businesses in the coming months. He's candid about the math: "Even if we end up with 2% to 5% market share, that's larger than anything I've built so far."
Why it matters for your business
You're not going to rip out Microsoft 365 because a well-funded startup exists. But the underlying question is one every operator faces this year: when do you bolt AI onto what you have, and when is the old thing the bottleneck? Bolting on wins when your workflow is fine and you just want a faster keyboard. Rebuilding wins when the shape of the tool — built for a pre-AI era — is what's slowing you down.
The other quiet lesson is "model-agnostic" as a purchasing criterion. A tool that lets you swap AI providers is a tool that can chase falling prices and dodge a single vendor's outage or policy change. Ask it of anything you buy. And note the timeline: a real suite, stood up in three months. The cost of building custom software that fits your business — instead of bending your business around someone else's software — dropped hard. That's the part worth internalizing, whether or not you ever touch Neo.
Key takeaways
- Bhavin Turakhia is self-funding Neo with $30M — an AI-native suite (docs, projects, files, AI) taking on Office and Workspace
- Neo is model-agnostic: customers can switch AI providers instead of locking to one
- The initial build took ~3 months with ~45 people — work he estimates would've taken a year+ pre-AI
- Operator takeaway: bolt AI on when the workflow's fine; rebuild when the pre-AI tool's shape is the bottleneck — and demand model-agnostic tools
Not sure whether to bolt AI on or rebuild? We help operators tell the difference — and when it's a rebuild, we ship AI-native, model-agnostic tools fast. See what we build or talk through your bottleneck.
Sources: TechCrunch.
- #ai-native-software
- #neo
- #productivity
- #model-agnostic
- #saas
Tommy Rush — Founder, Rush Commerce
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