SUMMARY
- Auquan raised an additional $4.5 million in seed funding, bringing total seed funding to $8 million.
- The funds will enhance the engineering team and advance RAG and AI agent architecture.
- Auquan automates complex financial workflows, serving clients like UBS and Federated Hermes.
Auquan, an AI-driven data analytics company focused on financial services, has successfully raised an additional $4.5 million in its seed funding round, led by Peak XV’s Surge. The funding round also saw participation from existing investor Neotribe Ventures, bringing Auquan’s total seed funding to $8 million.
The newly acquired funds will be allocated to expanding Auquan’s engineering team and further developing its Retrieval-Augmented Generation (RAG) and AI agent architecture. These advancements are crucial for the company’s goal of automating complex knowledge workflows in financial services.
Founded in 2016 by Chandini Jain and Shubham Jain, Auquan specializes in automating intricate, multi-step knowledge workflows for financial services. By leveraging RAG and a robust AI-driven architecture, the company is able to deliver timely, comprehensive, and accurate insights that are essential for its clients. The platform is currently utilized by leading global asset managers, investment banks, and private equity firms to enhance analysis, improve decision-making, and boost operational efficiency.
Auquan’s RAG-based system is specifically tailored to manage complex knowledge workflows by breaking them down into manageable tasks. This purpose-built architecture excels in navigating intricate processes, ensuring that outputs adhere to the stringent accuracy and comprehensiveness standards expected by clients such as UBS, Federated Hermes, and BC Partners.
The platform boasts native processing capabilities across the top 30 countries by GDP, covering significant regions including India, the USA, the UK, Europe, Latin America, Southeast Asia, and China. Leading financial institutions leverage Auquan’s SaaS-based AI solutions to streamline workflows in various domains, including investment, credit, due diligence, risk monitoring, and ESG (Environmental, Social, and Governance). This enables them to make faster, more informed decisions that contribute to superior performance.
