Ardian Builds GAIA, an Internal Generative AI Platform for Private Equity Due Diligence
ArdianMistralArdian, a private investment firm managing $192 billion in assets, partnered with Artefact and Mistral to build GAIA, an internal generative AI platform that lets investment teams analyze and extract insights from unstructured due diligence documents, investment memoranda, and financial reports. The model-agnostic platform uses Mistral models particularly for summarization and French-language documents, alongside other AI models, and includes web search and permanent folders for team collaboration. GAIA launched into full production within one year and has been adopted by over 500 weekly active users, processing more than 18,000 documents and generating over 280,000 user requests.
Overview
Ardian, a private investment firm managing $192 billion in assets, partnered with Artefact and Mistral to build GAIA, an internal generative AI platform that lets investment teams analyze and extract insights from unstructured due diligence documents, investment memoranda, and financial reports. The model-agnostic platform uses Mistral models particularly for summarization and French-language documents, alongside other AI models, and includes web search and permanent folders for team collaboration. GAIA launched into full production within one year and has been adopted by over 500 weekly active users, processing more than 18,000 documents and generating over 280,000 user requests.
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Inspect the highlighted sourceThe challenge
Ardian's investment teams needed to screen hundreds of pages of due diligence documents, financial reports and legal filings per deal as efficiently as possible, while accessing internal documents scattered across various systems under strict NDA requirements and avoiding information overload that could keep teams from high-value strategic analysis.
The solution
Ardian partnered with Artefact and Mistral to build GAIA, a model-agnostic internal generative AI platform that lets investment teams upload internal documents and interact with them through natural language queries for rapid first-pass analysis, with Mistral models used especially for summarization and French-language documents; the platform includes web search and permanent team folders while maintaining strict security protocols and data governance.
Reported business value
GAIA launched into full production within one year and has been adopted by over 500 weekly active users, processing more than 18,000 documents and generating over 280,000 user requests, giving investment teams more organized information and more room for higher-value-added analysis.
Sources
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