Funds will be used to accelerate presence in the US and build new AI co-pilots for finance teams, including the launch of HyperLM.
Hyperbots, an agentic AI platform for finance and accounting, announced that it has raised $6.5 million in Series A funding round co-led by Arkam Ventures and Athera Venture Partners.
The round also saw participation from new investors, JSW Ventures and existing investors, Kalaari Ventures, Sunicon Ventures and Darashaw & Company.
The funds will be used to accelerate the company’s market efforts in the US and build new AI co-pilots for finance teams, including the launch of HyperLM, a large language model trained exclusively on finance and accounting data.
Founded in 2023 by Niyati Chhaya, Ram Jayaraman, and Rajeev Pathak, Hyperbot uses proprietary AI agents to automate tasks across procure-to-pay (PTP), order-to-cash (OTC), expense management, analytics, and reporting processes.
“With our proprietary, domain-trained AI models and agentic workflow engine, we can finally automate the heavy, error-prone work that’s been holding finance teams back. This round gives us the resources to deepen our R&D, accelerate go-lives, and build a GTM ecosystem that will let every mid-market CFO run world-class F&A operations—at a fraction of today’s cost and effort,” said Rajeev Pathak, Co-Founder and CEO of Hyperbots.
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Rutvik Doshi, General Partner at Athera Venture Partners, said, “Hyperbots’ sophisticated, AI-native platform fundamentally reimagines finance automation and unlocks sizable productivity, accuracy, and efficiency gains for enterprise customers – particularly in the underserved mid-market segment.”
In September last year, the company secured $2 million in a seed funding round led by Kalaari Capital. The company is set to have over 100 clients in this fiscal year and serve clients in the US across industries, including healthcare, media, and mid-market enterprises in manufacturing, robotics, EV infrastructure, retail & apparel, construction, oil & gas distribution, pharma, and real estate.
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