Bhavin Turakhia launches AI-native work platform Neo with $30M investment
Neo aims to bring work, knowledge, and execution into a single AI-native platform as enterprises look to move beyond fragmented AI tools and improve productivity.
Serial entrepreneur Bhavin Turakhia has launched Neo, an AI-native work platform, committing $30 million of his own capital to the new venture.
Neo marks Turakhia's fifth entrepreneurial venture and aims to bring work, knowledge, and execution together on a single, connected platform.
According to the company, despite widespread adoption of artificial intelligence, enterprises continue to struggle to translate AI investments into meaningful productivity gains due to fragmented workflows and disconnected tools.
Neo combines work management with AI assistance, collaborative execution, and autonomous agents. The platform also supports documents, spreadsheets, diagrams, and real-time collaboration within a unified workspace.
"Most organisations fail to capture the value of AI because context is fragmented, knowledge is scattered across teams and tools remain disconnected. Neo changes that by centralising context and making AI a first-class participant in every workflow, not a tab beside it," said Bhavin Turakhia.
Turakhia previously co-founded Directi, Radix, Titan, and Zeta. Directi's web businesses were acquired for $160 million in 2014, while Titan was valued at $300 million following an investment from Automattic.
SoftBank-backed Zeta is currently valued at around $2 billion.
Neo is betting that the next phase of enterprise AI will be defined by execution, with AI embedded directly into the flow of work rather than layered on top of existing software.
The launch comes as AI startups continue to gain momentum in India's startup ecosystem. In the first six months of the year, the sector attracted a little over $1 billion in funding, although a significant share of that capital was concentrated in two companies—Neysa and Sarvam.
Industry experts believe it would be futile to build foundational AI models in India as it requires enormous investment and a better path would be to build applications on this technology platform.
This is already visible with the emergence of numerous AI native startups while others are reengineering their entire technology platform towards AI.
Edited by Megha Reddy

