Auquan
Auquan
Uses knowledge graphs and natural language processing (NLP) to automate complex financial workflows, such as investment research, due diligence, and portfolio monitoring. By processing over 2 million data sources in 65+ languages, it reduces manual research time by up to 80%, enabling finance professionals to make faster, data-driven decisions.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Financial Technology
- Software Only
Updated 23 months ago
Funding
Raised to date
$9.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+1Funding rounds are not available yet.
Founders
Shub Jain
Co-founder
Product
Problem
Financial professionals spend a significant amount of time on manual tasks such as investment research, due diligence, and portfolio monitoring, limiting their capacity for higher-value strategic work. Sifting through disparate data sources and formats to extract actionable insights is a major bottleneck.
Solution
Auquan provides an AI-powered platform that automates complex financial workflows, leveraging knowledge graphs and natural language processing (NLP) to streamline data analysis and reporting. The platform processes over 2 million public and subscription datasets in 65+ languages, including global media, local news, regulatory updates, and court filings. By consolidating multiple data feeds and automating multi-stage processes, Auquan reduces manual research time by up to 80%, enabling finance professionals to make faster, data-driven decisions. The platform generates complete draft reports from raw, unstructured data, delivering comprehensive, hallucination-free output in real time.
Target Audience
Auquan primarily serves financial institutions, including private equity firms, private credit funds, asset managers, investment banks, asset owners, and insurance companies.
Features
- AI agents and retrieval augmented generation (RAG) for automating multi-stage deep domain workflows
- Knowledge graphs for organizing and connecting financial data points
- Natural language processing (NLP) for extracting insights from unstructured text
- Coverage of over 2 million public and subscription datasets, including global media, local news, and regulatory updates
- Support for 65+ languages, including native support for languages of top 30 countries by GDP
- Pre-built workflows for IC memo generation, due diligence, portfolio monitoring, and credit memo generation
- Integration with internal data sources to augment existing intelligence
- Real-time data processing for instantaneous results
- Mappings to international frameworks such as SFDR, SDGs, and SASB