Bhindi AI secures pre-seed funding to combat AI fatigue with agentic technology

Bhindi.io lands pre-seed funding to tackle artificial intelligence fatigue, offering agentic technology that takes users from text-to-action to intent-to-action with autonomous agents.

As artificial intelligence tools become more ingrained in workplace routines, a new challenge has surfaced: digital fatigue stemming from systems that demand nearly constant prompts and oversight. Bhindi.io, a Singapore-based startup, is aiming to address this exhaustion by developing a unified agentic platform. The company has just closed a pre-seed funding round led by Cyber Fund, with an undisclosed amount, to bring its vision to life. Their approach shifts the user workflow from ´text-to-action´—relying on manual instructions—to ´intent-to-action,´ leveraging autonomous agents that execute tasks in the background with minimal intervention.

Bhindi´s platform responds to a growing concern among the estimated 378 million global users of artificial intelligence tools, many of whom report burnout from frequent prompting and correction. Instead of requiring users to micromanage every digital step, Bhindi allows the setup of background agents capable of handling workflows such as monitoring tasks, communicating across channels, and even conducting sophisticated domain activities like crypto portfolio management and fintech operations. Within months of opening the platform to the public (initially having started as an internal tool), Bhindi reported notable traction: more than 333,000 messages exchanged, 21,913 conversations, and over 52,000 autonomous agent task executions. Its user base has grown beyond 5,000, with significant adoption in both India and the United States.

The platform currently offers access to more than 300 agentic artificial intelligence tools through a single interface, reducing the friction and clutter caused by fragmented digital tools. Bhindi´s technology enables end-users to describe the intent or desired outcome; the platform´s agents then autonomously manage monitoring, execution, and status updates. Use-cases already include integration with CoinDCX for cryptocurrency management, automated GitHub code reviews, fintech trading through chat interfaces, and influencer outreach via automated campaign workflows.

Founded by Sowmay Jain, who previously built startups at the intersection of artificial intelligence and blockchain (including Instadapp and Fluid.io), Bhindi draws on experience with large-scale, agent-driven systems and has attracted reputable backers like Pantera Capital and Coinbase Ventures. The company is headquartered in Singapore but develops and operates out of India, positioning itself close to critical user and talent markets. Bhindi frames its product not just as another productivity tool but as a fundamentally new human-artificial intelligence interface: a system that consolidates workflows and enables ´background execution.´ This focus on true autonomy may appeal to digital professionals seeking improved work-life balance, reduced screen time, and less digital micromanagement as artificial intelligence technology matures.

67

Impact Score

Mustafa Suleyman says Artificial Intelligence compute growth is still accelerating

Mustafa Suleyman argues that Artificial Intelligence development is being propelled by simultaneous advances in chips, memory, networking, and software efficiency rather than nearing a hard limit. He contends that rising compute capacity and falling deployment costs will push systems beyond chatbots toward more capable agents.

China and the US are leading different Artificial Intelligence races

The US leads in large language models and advanced chips, while China has built a major advantage in robotics and humanoid manufacturing. That balance is shifting as Chinese developers narrow the gap in model performance and both countries push to combine software and machines.

Congress weighs Artificial Intelligence transparency rules

Bipartisan lawmakers are pushing a federal transparency standard for the largest Artificial Intelligence models as Congress works on a broader national framework. The proposal aims to increase public trust while avoiding stricter state-by-state requirements and heavier regulation.

Report finds California creative job losses are not driven by Artificial Intelligence

New research from Otis College of Art and Design finds California’s recent creative industry job losses stem from cost pressures and structural shifts, not direct worker displacement by generative Artificial Intelligence. The technology is changing workflows and expectations, but it is largely replacing tasks rather than entire jobs.

U.S. senators propose broader chip tool export ban for Chinese firms

A bipartisan proposal in the U.S. Senate would shift semiconductor equipment controls from specific fabs to targeted Chinese companies and their affiliates. The measure is aimed at cutting off access to advanced lithography and other wafer fabrication tools for firms such as Huawei, SMIC, YMTC, CXMT, and Hua Hong.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.