What Went Wrong With Bhindi AI? Inside Its $28 Million Valuation Journey 

The AI market has no shortage of chatbots. But Bhindi AI tried to solve a different problem: what if you could simply tell AI what you wanted done and let it actually do the work?

Launched in 2025, Bhindi AI built an agentic AI platform designed to connect with other applications and execute multi-step tasks. Instead of only answering a question, it could draft an email, send it, update a spreadsheet, post on social media or manage other workflows through connected tools.

The startup attracted attention quickly. Bhindi AI raised $4 million in pre-seed funding from Cyber Fund and was reported at a $28 million valuation. 

But there is an important twist to its story: Bhindi’s official website now says the platform is no longer under active development and directs users to Mogra.

What Is Bhindi AI?

So, what is Bhindi AI?

Bhindi was an AI agent platform built around a simple idea: users should be able to tell software what they want instead of manually opening several apps to complete the job.

A traditional chatbot might help you write an email. Bhindi’s approach was to take the next step by connecting to an email service and performing the action. Your instruction could become a series of actions across different applications.

This is why Bhindi described its approach as moving from “text-to-action” toward “intent-to-action.” The distinction is important. Text-to-action means you tell an AI what to do. Intent-to-action aims to understand the broader goal and let agents figure out the steps required to complete it.

What Does Bhindi AI Do?

The easiest way to understand what the Bhindi AI tool did is to imagine having one interface sitting on top of many apps.

For example, a user could ask an agent to work with Gmail, Google Sheets, Slack, Notion, GitHub or social platforms instead of switching between each service manually.

Bhindi’s documentation listed specialised agents for services including web search, Google Flights, Google Jobs, Google Shopping and Google Maps.

The platform’s founder also described background agents that could handle tasks such as social media posting, GitHub issues and pull requests, stock alerts, job outreach, calendars and files.

Bhindi AI Features: What Made It Different?

The biggest selling point was not simply the number of AI agents. It was the attempt to make those agents work together.

Bhindi was designed around an orchestration layer that could identify the user’s intent and route the request to the appropriate agent. In interviews, founder Sowmay Jain described the system as a way of reducing the constant prompting and monitoring associated with many AI tools.

Reports around its launch said Bhindi had more than 200 app integrations, while company communications later referred to 300+ agents. That figure changed as the product developed, so it is better understood as a point-in-time product metric rather than a permanent specification.

Bhindi AI Founder And Company Profile

The Bhindi AI founder was Sowmay Jain. Company databases such as Crunchbase list him as the founder of Bhindi Labs Pte Ltd, while Jain’s own LinkedIn profile describes him as the person building Bhindi AI.

Jain had already built a name in crypto and decentralised finance before entering AI. He was a co-founder of Instadapp and later worked on Fluid with his brother Samyak Jain.

There is some variation in public records around the company’s location. Dealroom and Crunchbase list Bengaluru as the headquarters, while the legal company is Bhindi Labs Pte Ltd, registered in Singapore.

So, is Bhindi AI Indian? In practical startup terms, it was closely associated with India’s AI ecosystem and Bengaluru. However, its legal entity was registered in Singapore. That distinction matters when describing the Bhindi AI company.

The Bhindi AI office has not been independently documented in a current official source beyond the Bengaluru headquarters information found in company databases.

Bhindi AI Funding, Revenue And Valuation

Bhindi’s funding story is easier to verify than its revenue.

The startup raised $4 million in a pre-seed round led by Cyber Fund in 2025. Inc42’s database also records one pre-seed round worth $4 million.

The reported $28 million figure should not be confused with the $4 million raised. Funding is the amount invested; valuation is the estimated value assigned to the company in connection with the financing.

There is no reliable public figure for Bhindi AI revenue. Likewise, there is no verified public information establishing the company’s profitability.

Bhindi AI Pricing: Is Bhindi AI Free?

The answer requires a date stamp.

An older Bhindi pricing page showed a free Basic plan with daily usage limits. Its Pro plan was listed at $5 for the first month and $20 per month thereafter, with higher limits and access to all tool connections. Enterprise pricing was customised.

So, is Bhindi AI free? Historically, yes, there was a free tier. But that does not mean Bhindi is currently available on those terms.

The current official Bhindi website says: “Bhindi is no longer under active development” and directs visitors to Mogra instead. As a result, the old Bhindi AI pricing should not be treated as current pricing.

Bhindi AI App And GitHub

There was an official Bhindi AI App on Apple’s App Store. Its listing described Bhindi as a productivity application that could connect with external services, automate tasks, generate media, search the web, and work from simple prompts.

However, with the main Bhindi website now stating that development has stopped, users should not assume that the old app represents an actively developed product.

As for Bhindi AI GitHub, I could not verify an official public GitHub organisation or repository that represents Bhindi’s core product. That is important because having code associated with a developer’s GitHub account would not automatically mean the commercial platform itself was open source.

Bhindi AI Founder Net Worth

Searches for Bhindi AI founder net worth can easily lead to speculation, particularly because Sowmay Jain has previously built successful companies.

However, there is no reliable public disclosure of Sowmay Jain’s personal net worth that can be used as a verified figure. It would also be incorrect to take Bhindi’s $28 million reported valuation and treat it as Jain’s personal wealth.

The same applies to questions about ownership. Without verified, current shareholding information, calculating a founder’s personal wealth would be speculation.

Note: We have also covered 10 failed startups in India that raised enough funds. Go through the article for detailed information.

Why Bhindi AI Still Matters?

Bhindi’s story reflects a bigger change happening in AI.

The first wave of consumer AI focused heavily on conversation. Ask a question, receive an answer, and decide what to do next. Agentic AI attempts to close that gap by allowing software to understand an objective, use connected tools and complete multiple steps.

That was the opportunity Bhindi was pursuing. Its $4 million pre-seed round showed investor interest in the idea, while its later decision to stop active development shows how quickly the AI market can change.

Today, the most important part of the Bhindi story may not be the old pricing or its agent count. It is the experiment itself: can one AI interface replace the dozens of apps people use every day?

Bhindi tried to answer that question with agents, automation, and intent-based workflows. Its current website points toward Mogra, suggesting that the technology and product direction did not simply disappear, but moved into a new chapter!