GCM Grosvenor Taps Model ML to Accelerate Investment Workflow Automation
Key Terms
alternative asset management financial
“GCM Grosvenor has always been ahead of the curve in how they bring technology into their investment process,” said Chaz Englander, CEO and Co-Founder of Model ML. “They’re one of the most forward-thinking firms we’ve worked with, with a clear view of where AI can add real value and a remarkable ability to move from idea to deployment at speed.”
GCM Grosvenor manages approximately
“We’ve always consistently believed that technology should enhance the work of investment professionals,” said Dan Pfieffer, Managing Director at GCM Grosvenor. “Partnering with Model ML will help us put that belief into practice across workflows that matter for speed, governance, and overall quality.”
Working closely with Model ML, the firm is deploying AI-powered workflows to support several high-impact use cases across its investment process, including:
- Data Extraction from Underlying Manager Documents and incorporation into financial models
- Automating pre-investment due diligence collateral creation
- Leveraging Model ML’s AutoCheck workflow to review presentations, memos, and financial documents for numerical issues and logical inconsistencies, supplementing current processes.
GCM Grosvenor plans to leverage Model ML to integrate more agentic workflows that reinforce the firm’s commitment to quality, speed, and operational excellence.
About Model ML
Model ML is the AI workflow builder for financial services. Today, the world’s leading financial institutions use Model ML to build workflows that retrieve and reason through data, create Word, PowerPoint and Excel files, and review documents with the same precision as their teams.
About GCM Grosvenor
GCM Grosvenor (Nasdaq: GCMG) is a global alternative asset management solutions provider with approximately
GCM Grosvenor’s experienced team of approximately 560 professionals serves a global client base of institutional and individual investors. The firm is headquartered in
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Gina Dyce
gina@burlington.cc
Source: Model ML