Hyperbots is building agentic AI co-pilots purpose-built for finance and accounting operations. Rather than offering a single point solution, the company provides deployment-ready agents that span the core finance workflows of mid-market companies: procure-to-pay, order-to-cash, expense management, analytics, and reporting. The pitch is that finance teams can drop these co-pilots into existing processes and immediately offload repetitive, document-heavy work to AI.
A key differentiator is Hyperbots' focus on domain-trained models. The company reports 99.8% document accuracy and up to 80% reduction in manual effort, results it attributes to models tuned specifically for finance and accounting rather than generic LLMs. Hyperbots is developing HyperLM, which it describes as a large language model trained exclusively on finance and accounting data, betting that domain specialization yields materially better accuracy and reliability in this high-stakes field where errors carry real financial and compliance consequences.
Hyperbots was founded in 2023 by Niyati Chhaya, Ram Jayaraman, and Rajeev Pathak. The company operates with a US headquarters and an engineering hub in India, employing around 55 people, most of them engineers in Bengaluru. This structure lets Hyperbots pair go-to-market focus on the US mid-market with deep engineering capacity.
In May 2025, Hyperbots raised a $6.5 million Series A co-led by Arkam Ventures and Athera Venture Partners, with participation from new investor JSW Ventures and existing backers Kalaari Capital, Sunicon Ventures, and Darashaw & Company. The company earmarked the funds to accelerate its US go-to-market efforts and develop new AI co-pilots, including the launch of HyperLM.
Hyperbots competes in the fast-growing agentic-finance category by emphasizing breadth across finance workflows plus domain-specific model accuracy, aiming to be the AI layer that mid-market finance teams adopt across multiple functions rather than just one.