
Exclusive AiNews.com interview with Sowmay Jain, Founder of Bhindi, on how agentic AI is reshaping workflows, tackling AI fatigue, and transforming the future of work. Image Source: Alicia Shapiro
EXCLUSIVE INTERVIEW: Sowmay Jain on Bhindi, Agentic AI, AI Fatigue & the Future of Work
Key Takeaways: Bhindi’s $4M Raise, Agentic AI, and the Future of Work
Bhindi raises $4M pre-seed led by Cyber Fund to expand product development, global go-to-market, and operations.
Agentic AI overcomes “AI fatigue” by moving from text-to-action to intent-to-action, automating workflows end-to-end.
200+ app integrations (Slack, Gmail, GitHub, Notion, Trello, LinkedIn, etc.) enable cross-platform execution without micromanagement.
Agent-to-agent communication layer sets Bhindi apart from competitors, enabling seamless invisible chains of workflows.
Vision for the future: Bhindi as the “killer everything app,” reducing digital clutter and redefining how people and businesses work.
Introduction: Bhindi’s $4M Raise and the Future of Agentic AI
Bhindi, an agentic AI platform founded by Sowmay Jain, recently closed a $4 million pre-seed round led by Cyber Fund. Built to combat the rising problem of AI fatigue, Bhindi offers a single interface that integrates with more than 200 apps — including Slack, Gmail, GitHub, Notion, and Trello — to automate entire workflows without constant prompting.
By shifting from “text-to-action” to “intent-to-action”, Bhindi reduces digital clutter and burnout, empowering users to focus on strategic, high-impact work. In this exclusive interview, Jain shares his vision for Bhindi, what differentiates it from other AI platforms, and how agentic AI is evolving to shape the future of work.
BIO: Sowmay Jain is a forward-thinking entrepreneur recognized on Forbes 30 Under 30 for co-founding Instadapp, a platform credited with democratizing finance through blockchain technology. He later founded Upsurge Labs, an innovation lab experimenting at the frontiers of AI, robotics, and biotech. Today, as Founder of Bhindi, Jain is building what he calls the “killer everything app” — an agentic AI platform that acts like an AI-powered sous-chef, connecting over 200 apps to create seamless workflows in a snap.
Bhindi’s $4M Raise and Vision for Agentic AI
Q1: Sowmay, congratulations on closing a $4M pre-seed round led by Cyber Fund. For readers who may not be familiar, can you explain what Bhindi is and how it works in practice?
A: Bhindi AI is an agentic AI platform that acts as a definitive interface between humans and AI. It moves beyond simple “text-to-action” toward “intent-to-action” by utilizing 200+ apps that complete complex workflows without micromanagement.
Bhindi was created to combat the rising wave of AI fatigue, where users spend hours context-switching across 10–15+ apps, and current AI tools are siloed, handling narrow tasks rather than complete workflows. Instead of requiring constant prompting, its AI agents work 24/7 in the background, allowing users to reduce burnout and digital clutter and instead focus on high-level strategic tasks that create impact.
Bhindi offers a single, unified interface with over 200 apps such as Slack, Gmail, GitHub, Notion, Trello and more. It handles diverse use cases across crypto, fintech, creative content, and software development, and uses a communication layer for agents to coordinate and create seamless workflows.
How Bhindi Will Use Its $4M Pre-Seed Funding
Q2: Beyond the capital itself, what does this raise mean for Bhindi at this stage, and what will it enable you to do right now that you couldn’t before?
A: Since our public launch in May 2025, our most significant milestones have been the rapid user adoption and expansive growth across countries and use cases. We've been doubling our user base month-over-month, which signals that our technology is resonating with a wide range of people across geographies, industries, and business verticals.
Additionally, we’ve expanded the number of apps and integrations we offer to cater to different sectors, from content creation and software development to marketing and recruiting. Our recent pre-seed funding round of $4M, led by Cyber Fund, has also been a major milestone, giving us the resources to continue to innovate and expand our platform. The investment will go toward product development, ramping up global go-to-market efforts, and scaling operations.
Tackling Prompt Fatigue and AI Burnout
Q3: You’ve positioned Bhindi as directly tackling “prompt fatigue.” Sowmay, can you walk us through what that problem looks like for users day to day, and how Bhindi flips the model to remove the micromanagement?
A: As of mid-2025, over 378 million people are using AI tools. However, with AI becoming more frequent, a significant number of users are experiencing burnout, or AI fatigue, from the constant need to manually prompt and oversee AI. Instead of automating workflows, users are faced with multiple apps that need constant monitoring. We want to eliminate the need for all other apps by being the “killer everything app.”
Bhindi’s AI agents address this pain point by automating complex workflows and performing tasks autonomously in the background. The shift from requiring human oversight to enabling “intent-to-action” is a fundamental change in how we interact with technology. Instead of treating AI as a tool that needs constant direction, AI agents can be trusted to execute tasks, freeing up human time for strategic thinking and creativity.
With over 200 app integrations that work for you 24/7, Bhindi allows you to give simple, natural language prompts and then walk away, as the agents mimic human behavior to complete complex tasks and entire workflows. This technology has evolved beyond simple productivity to handle use cases across crypto, fintech, creative content, research, and scheduling.
What Makes Bhindi Different from Other AI Tools
Q4: Bhindi has been described as the “killer everything app” — but there are plenty of AI tools promising productivity gains. What makes Bhindi different, and why should someone choose it over the alternatives?
A: When we started Bhindi, most of the market was focused on general AI. We chose to build agentic AI, where text turns into action. Three months ago, this was new, but now many AI giants have launched connectors, operators, and agents. We were one of the early pioneers.
Today, we are focused on the communication layer between agents. The goal is for agents to talk to each other, not just to people. For example, if my agent sends a message to Rohan’s agent, his agent could already have a background workflow that treats my message as part of a larger process. This would create an invisible chain of workflows running without us. Right now, we still need to prompt manually to build trust, but the future is agents coordinating seamlessly.
We stand out because we were early in moving from general AI to agentic AI, where text turns into action. Even before other AI giants launched their agents and connectors, we were already building in this space. What sets us apart now is our focus on the communication layer between agents. Others are still solving for single-agent workflows, but we are building a framework where agents coordinate with each other and create invisible chains of workflows. This shift from manual prompting to seamless agent-to-agent collaboration is what makes Bhindi different.
How Users Are Automating LinkedIn and Beyond
Q5: One of your big milestones was shipping LinkedIn as an agent, enabling posts, videos, and profile updates. Sowmay, what kinds of tasks are early users automating here, and what have you learned from their feedback?
A: When we first shipped LinkedIn as an agent, we were excited to see how our early users would use it. We quickly saw a lot of content creators implement it, which did not come as a surprise.
Content creators are using it actively to source ideas and content inspiration relevant to their profiles, backgrounds, and expertise. For example, a user can set a background agent to monitor specific subreddits, news pages, or accounts on X (Twitter). The agent curates content based on their preferences — for example, in a specific field, using a particular tone, or a certain frequency — and then drafts and schedules posts for them. These posts are rich in authenticity because they are still derived from the unique point of view of users, but without the tedious coordination.
One of our most interesting discoveries is that platforms like Reddit, which is a hub of opinion and information, have been added as a source of reliable, timely, and credible information. Our users are leveraging Bhindi in such hubs to search for market intelligence and key pointers about what's happening in their field to generate relevant content calendars.
This feedback has shown us that users want to move from just automating a single task to having a fully autonomous workflow.
Usage Patterns Across 200+ App Integrations
Q6: Since April, Bhindi has scaled to 200+ apps. What usage patterns are standing out to you, and what do they reveal about how people want to work with agentic AI?
A: A key pattern standing out is a 75% successful execution rate via AI agents across all platforms and use cases. This high success rate indicates that users are not just experimenting with AI agents, but they are also relying on them to complete specific, well-defined tasks fully end-to-end.
This reveals that users want agentic AI to be reliable, predictable, and effective at automating workflows without needing constant micromanagement. They're looking for a tool that gets the job done.
Examples of Complex Workflows Bhindi Automates
Q7: With more than 200 apps already connected, Bhindi promises “one simple command” across platforms. Can you share a concrete example of a complex workflow Bhindi simplifies — the kind of thing that would normally take someone hours, but now runs in the background?
A: Bhindi's ability to simplify complex, multi-platform workflows is its core value. It takes a series of tasks that would typically require a user to hop between multiple apps and perform hours of manual work, and combines them into a single, automated command.
Two examples stand out:
The Daily Market Briefing Summary
A financial analyst's morning routine usually involves a long, manual process. First, they would have to open several websites to check the current stock prices of specific companies and track the top market movers. Next, they would need to synthesize this data by reading news articles and financial reports to gauge market sentiment. After compiling all this information, they would have to write a briefing and then use a separate tool to write or record a summary. Finally, they'd switch to an internal communications tool to send the summary to their team. This entire process is tedious and time-consuming. It requires too many tools and applications.
With Bhindi AI, this entire chain of actions is condensed into a single prompt. The agent autonomously retrieves all the necessary data from different apps, drafts the briefing, creates a unique summary file, and sends the final message directly to the team, all in the background.
The Virtual Conference Setup and Promotion
Organizing a virtual conference is a multi-step process and can be quite tedious for a project manager. A single event requires a user to manually create a calendar event with a virtual meeting link, use an external website to generate a QR code for the registration page, and then open a separate graphic design tool to create a promotional image for different social media channels. The user would have to ensure the image contains all the key details about the event and that it is optimized for the platform's dimensions and can be shared across channels.
Bhindi AI automates all of these steps. With a single prompt, the platform handles scheduling, generates the QR code, and designs professional, optimized images. What was once a multi-hour task involving multiple applications now runs in the background.
Lessons from Building Companies and Forbes 30 Under 30
Q8: Sowmay, you’ve built companies before and were recognized on Forbes 30 Under 30. What lessons from that journey are shaping the way you’re building Bhindi today?
A: In AI, things change overnight, and dozens of new companies appear every day. I believe that to be successful, a founder needs to make quick decisions, trust their gut, and have a clear sense of where AI will be in the next 5 to 10 years. Vision and stealth matter more than perfection.
Building a team that is truly AI-first is what keeps companies up to speed in such a fast-moving industry with so much competition. It is also important to keep teams small and processes strong so that you can be agile and make pivots with new information swiftly. I’ve learned to move quickly, understand the space deeply, and not treat it like a traditional business but as an evolving landscape. With so much saturation, it is imperative to stand out — either by building a great product or telling a great story.
Ideally, by doing both. Most importantly, by solving a real problem.
The Future of Work with Agentic AI
Q9: Looking ahead two to three years, how do you see agentic AI evolving — and what role do you want Bhindi to play in transforming how individuals and businesses work?
A: In the next few years, all AI companies will move toward the same goal of earning people’s mindshare. We believe the future of AI isn't about having one giant model but about creating a system of interconnected agents that solve specific problems.
Our platform is built on the philosophy that a single app can own a user’s mindshare within a particular context. Our focus is on building trust in AI so that people no longer see work the way they do today, and can instead focus on what humans are meant for — creating meaningful impact. Bhindi is designed to be the “killer everything app” that will eliminate the need for all other apps and serve as the definitive interface between humans and AI.
Q&A: Bhindi, Agentic AI & the Future of Work
Q: What is Bhindi?
A: Bhindi is an agentic AI platform that turns “intent into action” across 200+ apps, running workflows in the background without micromanagement.
Q: How much funding has Bhindi raised?
A: Bhindi closed a $4M pre-seed round led by Cyber Fund to expand product development, go-to-market efforts, and operations.
Q: What problem does Bhindi solve?
A: It tackles AI fatigue — the burnout from constant prompting and context-switching across multiple apps.
Q: What makes Bhindi different from other AI tools?
A: Its agent-to-agent communication layer allows agents to coordinate with each other, creating seamless chains of workflows.
Q: How does Bhindi see the future of work?
A: Bhindi aims to be the “killer everything app”, redefining how people and businesses work by reducing digital clutter and freeing humans to focus on meaningful impact.
Closing: What Bhindi’s Vision Means for the Future of Work
Sowmay Jain’s vision for Bhindi is more than building another AI productivity tool — it’s about redefining how humans and AI collaborate. By shifting from text-to-action to intent-to-action, Bhindi addresses the growing challenge of AI fatigue and creates a world where autonomous agents handle the complexity of workflows in the background.
This approach has implications far beyond individual productivity. If agent-to-agent communication becomes the standard, businesses could one day operate on invisible chains of workflows that move faster, with less friction, and at greater scale. Instead of managing dozens of apps or constantly prompting AI tools, people would be free to focus on strategy, creativity, and meaningful impact.
With its $4M pre-seed funding, rapid user adoption, and 200+ app integrations, Bhindi is positioning itself to play a central role in this transformation. If successful, it could mark the shift from siloed tools to a true “killer everything app” — one trusted interface where AI quietly powers the future of work.
For more information about Bhindi, visit bhindi.io
Editor’s Note: This written interview was conducted by Alicia Shapiro, CMO of AiNews.com. The responses have been lightly edited for clarity and readability, while preserving the speaker’s original intent and voice. Structural formatting and editorial polish were supported by ChatGPT, an AI assistant. All final editorial decisions were made by Alicia Shapiro.