CurvetAI Raises Rs 6 Crore Pre-Seed Led By Merak Ventures

CurvetAI, a Pune-based startup that runs a unified AI workspace, has raised Rs 6 crore in a pre-seed round. Merak Ventures led the round, and a group of angel investors also took part.

The company will put the money into its engineering and technology infrastructure. Part of it will fund agent-based capabilities, so the platform can handle more complex workflows than it does today. The round will also support hiring, the company said.

One workspace, many models

CurvetAI’s product lets a user work with several AI models from a single screen. Text, image, audio and video models sit on the same platform. Users can compare outputs and chain different capabilities inside one workflow.

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That is a change from how most people work with AI tools today. A single task often means jumping between tabs, subscriptions and several chat windows. CurvetAI’s pitch is to remove that switching.

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From a discovery site to a workspace

The startup did not begin with this plan. It started as a place to discover AI tools and prompts. The founders found that users still had to leave the platform to use the tools they had found. So they rebuilt the product as a workspace instead.

CurvetAI was founded in December 2025 by Vivek Dubey and Utkarsh Gupta. Dubey has worked at Infosys, Microsoft and Google. Gupta, who previously worked at Samsung, leads the company’s engineering and technical infrastructure.

Traction and what comes next

The platform now has more than one lakh monthly users globally. India and the US are its largest markets. Individuals, teams and educational institutions are among those using it, and the company says it has started generating revenue.

It also works directly with model developers. CurvetAI has collaborations with GnaniAI, Rumik AI and Alibaba. Those tie-ups give the platform access to models beyond the best-known global names.

For the founders, the next job is depth. Agent-based features are the stated priority, which means the workspace should move from helping people compare models to running multi-step tasks on its own. The fresh capital is meant to fund that work and the team behind it.