Auquan, a trailblazer in AI for financial services, recently announced a significant boost to its seed funding, securing an additional $4.5m.
This funding round was led by Peak XV, with continued support from Neotribe Ventures, elevating Auquan’s total seed investment to $8m.
The company is pioneering the application of AI agent architecture and retrieval augmented generation (RAG) to streamline deep knowledge-intensive workflows within the financial sector. Currently, 25% of the world’s top 20 asset managers, investment banks, and private equity firms rely on Auquan’s technology to enhance productivity, accelerate decision-making, and achieve superior market performance.
With the fresh capital, Auquan plans to expand its engineering and sales divisions significantly. The new team members will tackle some of the most daunting challenges in the industry, employing cutting-edge AI technologies to redefine how financial tasks that require deep, specialist knowledge are performed and to increase the company’s market footprint.
While many generative AI tools are designed for surface-level tasks, Auquan distinguishes itself by focusing on “deep work”—complex, repetitive, multi-step processes that are essential to business operations and require acute concentration and expertise. This focus enables finance professionals to shift from routine tasks to more strategic, high-impact activities that drive competitive advantage.
Swaroop Kolluri, founder and managing partner at Neotribe, praised Auquan’s impact: “Auquan’s remarkable growth and customer traction validates our belief that they’re uniquely positioned to solve a critical challenge in finance: freeing highly skilled teams from the grind of wading through noisy data, performing undifferentiated work to support high-impact decisions.
“Their RAG-based AI agent architecture is truly transformative, allowing professionals to focus on strategic, meaningful work while enabling firms to gain a competitive edge. We’re thrilled to support Auquan as they revolutionize deep work productivity and decision-making in finance.”