Bhindi.io Secures USD 4 Mn Funding Led by Cyber Fund
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Agentic AI platform Bhindi.io has raised USD 4 million in a pre-seed funding round led by Cyber Fund, an investor also known for backing Sowmay Jain's DeFi protocol Fluid.io.
According to the official statement, the fresh capital will be directed towards product development, global market expansion, and scaling operations.
Founded earlier this year by entrepreneur Sowmay Jain, Bhindi is positioned as an AI-driven platform designed to replace multiple applications with a single unified interface. It provides access to more than 300 AI agents, enabling users to streamline workflows and focus on strategic tasks while the platform automates operational activities.
Bhindi offers features such as real-time tracking of CoinDCX portfolio changes, profit and loss logging, and AI-powered Gmail alerts that provide market context for significant cryptocurrency movements. It can also review new GitHub pull requests, detect bugs or suggest improvements through Code Interpreter, and post detailed feedback before manual review.
According to the company, Bhindi's background agents operate continuously, simulating human behavior to reduce micromanagement and workplace fatigue. This, it says, leads to higher productivity and lower friction for users.
The platform has reportedly drawn thousands of users who have exchanged over 333,000 messages across more than 21,000 conversations and executed over 52,000 agent actions.
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Throwing around 'AI' without defining it AI isn't just one thing. Mochnacz explains that there's a significant difference between using generative AI to enhance email communications and utilizing AI chatbots to manage all customer interactions. Without these distinctions, employees don't understand what to expect from their workplace changes or how they can remain relevant. 'AI is such a buzzword, and leaders haven't taken the time to define it and understand the differences,' says Mochnacz. 'I've been in meetings where people ask, 'Can you do this with AI?' or 'Everyone's talking about AI, so we have to do something with it.'' He emphasizes the importance of clarifying the fundamentals: Takeaway: Don't use 'AI' as a vague catchall. Clearly define what types of AI you're using, what they do and why they matter to your team. 3. Failing to explain the why 'Any time leaders announce a new program or procedure without employee buy-in, there could be fear, skepticism or anger,' Sorenson cautions. Instead of simply telling employees what's changing, explain why the company needs AI. How does it fit into broader business goals? This context helps employees understand their role in the transition rather than viewing it as a threat. 'Ongoing two-way feedback is critical for continued refinement of how teams use AI to improve workflows, processes and results,' notes Sorenson. Takeaway: Don't skip the context. Explain why AI is being adopted and how it supports your team's goals to build trust and buy-in. 4. Overhyping what AI can do 'Leaders promising that AI will handle everything don't have a clear understanding of its possibilities and limitations,' Sorenson says. For instance, AI can help employees understand benefit plans. But it can't handle nuanced harassment complaints or mental health concerns. 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Check out our overall U.S. rankings. You can also gain insights into top-ranked employers by checking out the links below.
