Skip to main content
A

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.

London, United KingdomFounded 2018735K+ followers
Updated 20 months ago

Funding

$9.2M raised to dateRaised 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.

+3
Funding rounds are not available yet.

Founders

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
This profile is AI-generated and may contain inaccuracies.