Auquan

Auquan develops autonomous AI agents that execute knowledge-intensive workflows end-to-end for institutional financial firms, producing ready-to-review outputs such as credit and investment committee memos, sustainability and ESG reports, and limited partner documentation. The platform covers three main solution areas: credit (deal screening and fit assessment, credit/IC memo generation, covenant monitoring, portfolio valuation and reporting), sustainability (ESG screening and assessment, portfolio ESG monitoring, impact measurement and reporting, regulatory compliance evidence), and investor relations (LP reporting, due diligence questionnaires, side letter compliance, RFP responses). The company positions these as workflows that traditionally take two to five days and that its agents complete in roughly 30 minutes to two hours.

The system ingests both a client's proprietary internal data and external structured and unstructured sources, and emphasises auditability, with complete audit trails identifying sources and methodology for each insight. Auquan states coverage of over 2 million public and subscription data sources across 76 languages (an earlier announcement cited 2M+ sources in over 65 languages and 550,000+ public and private companies, with native processing for the top 30 countries by GDP and key supply chain locations). Risk and opportunity findings are prioritised against customer-specific criteria and mapped to frameworks including SFDR (PAI), the SDGs, SASB, UNGC and modern slavery legislation in the UK, Australia and Germany.

The company describes an architecture combining AI agents with retrieval augmented generation, designed for "deep work" — complex, recurring, multi-step workflows decomposed into discrete tasks that can span hundreds of parallel and sequential steps — as distinct from horizontal generative AI tools aimed at enterprise search or customer support.

Founding story

Auquan was started on the premise that finance professionals, who enter the industry for analytical and problem-solving work, spend more than 80% of their time on manual tasks such as opening documents, collecting data, writing memos and compliance checks. The founders built autonomous AI agents to complete those workflows end-to-end. Co-founder and CEO Chandini Jain previously worked at Optiver and Deutsche Bank; co-founder and CTO Shub Jain previously worked at Gusto! and Microsoft.

Business model

Auquan sells software to financial institutions, offering turnkey, out-of-the-box support for common financial services workflows alongside custom automation for firm-specific requirements. Prospects are onboarded via a demo process, and the company emphasises rapid time to value without complex setup or lengthy training.

Enterprise software sold to institutional finance firms; specific pricing terms are not disclosed publicly.

Traction

The website cites more than $1 trillion in assets analyzed, over 100,000 hours given back to customers, and adoption by 40% of the top 50 global firms. Customer quotes come from a top 25 global asset manager with $1T+ AUM, private equity firms with $30B+ and $40B+ AUM, a top 10 asset manager and a top 5 wealth management firm, plus named users at Delancey, Federated Hermes and Amati Global Partners. Total seed funding reached $8 million following a $4.5 million seed addition.

Latest developments

The company publishes ongoing commentary on agentic AI in institutional finance and announced a Global Innovation Roadshow in June 2026. Recent site content emphasises credit, sustainability and investor relations workflow automation, coverage of 2M+ sources in 76 languages, and Gartner Cool Vendor recognition.