- Hyperbots has raised $6.5 million in Series A funding to expand its AI-powered finance automation tools, co-led by Arkam Ventures and Athera Venture Partners.
- The startup builds agentic AI co-pilots that automate routine finance tasks like invoice processing, tax validation, and compliance checks, with up to 99.8% accuracy.
- Funds will support U.S. expansion and the launch of HyperLM, a proprietary large language model tailored for finance and accounting workflows.
AI is coming for the finance back office, and Bengaluru- and US-based startup, Hyperbots wants to lead the charge. The startup has raised $6.5 million in Series A funding to scale its suite of artificial intelligence (AI)-powered co-pilots for finance and accounting operations, the company announced today.
The round was co-led by Arkam Ventures and Athera Venture Partners, with participation from new backer JSW Ventures and existing investors Kalaari Capital, Sunicon Ventures, and Darashaw & Company.
Founded in 2023 by Niyati Chhaya, Ram Jayaraman, and Rajeev Pathak, Hyperbots builds agentic AI platforms that automate time-consuming but essential finance workflows, tasks like invoice processing, reconciliation, accrual management, tax validation, and compliance checks.
“We are transforming finance operations and freeing human bandwidth for doing higher-order tasks,” said Rajeev Pathak, cofounder and CEO of Hyperbots.
Hyperbots’ goal is to enable “straight-through” processing with minimal human input, addressing a long-standing pain point for mid-market enterprises, especially in the U.S. market, where much of the company’s customer growth is concentrated.
“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,” Pathak added.
The fresh capital will go toward expanding operations in the U.S., building out its customer base, and launching HyperLM, a proprietary large language model (LLM) pre-trained on large volumes of finance and accounting data.
Hyperbots claims HyperLM will bring more granular, domain-specific intelligence to its platform, positioning it competitively in an increasingly crowded enterprise AI landscape.
Already, Hyperbots reports that its tools achieve 99.8% document processing accuracy and can reduce manual effort by up to 80%, offering a major productivity lift for finance teams.
One of the company’s strengths lies in its seamless integration with existing enterprise resource planning (ERP), customer relationship management (CRM), and finance software systems. This makes it easier for clients—many with legacy infrastructure—to adopt AI without overhauling their tech stacks.
The startup currently serves businesses in sectors such as healthcare, media, electric vehicle infrastructure, retail, and real estate, and is on track to onboard over 100 customers this fiscal year, according to company estimates.
Edited by Harshajit Sarmah