Bhindi AI
AI agent platform that converts natural language commands into multi‑step actions across connected apps.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | $4.0m | Seed | |
| Total Funding | 000k | ||
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Bhindi AI provides an intelligent, conversational interface designed to combat application overload and employee burnout by automating digital tasks. Founded in April-May 2025 by Sowmay Jain, a recognized innovator in the Web3 and AI fields, the company aims to reduce the context switching and decision fatigue associated with using multiple applications. Jain's background includes co-founding the DeFi platform Instadapp and later Fluid with his brother, Samyak Jain. The idea for Bhindi AI emerged from his experience creating scripts to automate his own work, recognizing a broader market opportunity to package the technology into a user-friendly product.
The platform operates on a "text-to-action" or "intent-to-action" principle, where it not only understands a user's command but executes it across various integrated applications. Through a single prompt, users can delegate multi-step workflows to AI agents, such as drafting and sending an email, notifying a team on Slack, and updating a Google Sheet simultaneously. Bhindi AI utilizes a multi-agent architecture with over 300 proprietary agents specialized for different domains, including development, communication, finance, and productivity, and integrates with over 100 platforms like Gmail, Slack, and Notion. The system intelligently matches user intent with the correct agent, eliminating the need for users to make the selection themselves.
The company is headquartered in Bengaluru, with operations managed from Singapore. Shortly after its launch, Bhindi AI raised $4 million in a pre-seed funding round led by Cyber Fund, achieving a $28 million valuation. The platform follows a SaaS business model, offering a free tier with limited credits and a paid plan at $20 per month. Within months of launching, it attracted over 5,000 active users, primarily from India and the United States.
Keywords: agentic AI, workflow automation, task delegation, conversational interface, application integration, productivity tool, AI agents, text-to-action, intent recognition, digital assistant