How Leading VC Firm Gaingels Accelerated Deal Diligence with Model ML
Apr 16, 2025
5 MIN. READ


Overview
Location: United States
Team Size: 35
Partnered Since: 2024
Primary Use Cases: Due diligence, research, memo & report generation, meeting notetaking
Key Challenges
As a high-volume VC firm, Gaingels often faced bottlenecks on deal evaluation capabilities, overwhelmed with disperse files, fast timelines, and extensive writing requirements for our LPs
The firm had to thoughtfully review opportunities combining inputs from not only data rooms, but past investments, the latest industry research, and founder/advisor diligence calls, an extremely challenging undertaking.
The firm had multiple data sources that individually were expensive but not all-encompassing
How ModelML Helps Today
Model ML houses files corresponding to each individual deal and serves as an intelligent advisor for active diligence, helping us recognize and fill critical gaps
The platform generates written investment materials such as memos, scorecards, and LP distributions incorporating both local files and publicly available information
Meetings are reliably recorded and available for detailed analysis through Q&A.
Impact & Outcomes
Model ML scaled the firm's operations, significantly improving deal screen turnaround time and diligence quality.
The platform serves as a central repository for data room files, diligence, and investment memos, allowing past opportunities to intelligently benchmark and contribute to new opportunities.
Model ML's analysis thoughtfully weaves in data analysis from a wider range of sources, including online resources they previously did not have the capabilities to reference.
The firm say that they have effectively hired a small team of analysts at a fraction the cost.
How Model ML Will Help In the Future
The firm expect an accumulating data advantage to that will drive meaningful value for our competitive positioning, influenced by both superior execution speed and return performance
The platform will increasingly become more integrated in the firm's workflow from sourcing to close to portfolio management
The firm be able to drop expensive subscriptions to data providers and continue to integrate their work under one platform.
"ModelML has significantly improved our operations by accelerating deal screening and enhancing the quality of due diligence. The integration of this platform into our workflow, from sourcing to portfolio management, has enabled us to streamline processes and reduce costs while upholding high standards. ModelML is essential in our efforts to maintain a competitive edge in the VC industry."
– Partner, Venture Capital Firm
Overview
Location: United States
Team Size: 35
Partnered Since: 2024
Primary Use Cases: Due diligence, research, memo & report generation, meeting notetaking
Key Challenges
As a high-volume VC firm, Gaingels often faced bottlenecks on deal evaluation capabilities, overwhelmed with disperse files, fast timelines, and extensive writing requirements for our LPs
The firm had to thoughtfully review opportunities combining inputs from not only data rooms, but past investments, the latest industry research, and founder/advisor diligence calls, an extremely challenging undertaking.
The firm had multiple data sources that individually were expensive but not all-encompassing
How ModelML Helps Today
Model ML houses files corresponding to each individual deal and serves as an intelligent advisor for active diligence, helping us recognize and fill critical gaps
The platform generates written investment materials such as memos, scorecards, and LP distributions incorporating both local files and publicly available information
Meetings are reliably recorded and available for detailed analysis through Q&A.
Impact & Outcomes
Model ML scaled the firm's operations, significantly improving deal screen turnaround time and diligence quality.
The platform serves as a central repository for data room files, diligence, and investment memos, allowing past opportunities to intelligently benchmark and contribute to new opportunities.
Model ML's analysis thoughtfully weaves in data analysis from a wider range of sources, including online resources they previously did not have the capabilities to reference.
The firm say that they have effectively hired a small team of analysts at a fraction the cost.
How Model ML Will Help In the Future
The firm expect an accumulating data advantage to that will drive meaningful value for our competitive positioning, influenced by both superior execution speed and return performance
The platform will increasingly become more integrated in the firm's workflow from sourcing to close to portfolio management
The firm be able to drop expensive subscriptions to data providers and continue to integrate their work under one platform.
"ModelML has significantly improved our operations by accelerating deal screening and enhancing the quality of due diligence. The integration of this platform into our workflow, from sourcing to portfolio management, has enabled us to streamline processes and reduce costs while upholding high standards. ModelML is essential in our efforts to maintain a competitive edge in the VC industry."
– Partner, Venture Capital Firm
Overview
Location: United States
Team Size: 35
Partnered Since: 2024
Primary Use Cases: Due diligence, research, memo & report generation, meeting notetaking
Key Challenges
As a high-volume VC firm, Gaingels often faced bottlenecks on deal evaluation capabilities, overwhelmed with disperse files, fast timelines, and extensive writing requirements for our LPs
The firm had to thoughtfully review opportunities combining inputs from not only data rooms, but past investments, the latest industry research, and founder/advisor diligence calls, an extremely challenging undertaking.
The firm had multiple data sources that individually were expensive but not all-encompassing
How ModelML Helps Today
Model ML houses files corresponding to each individual deal and serves as an intelligent advisor for active diligence, helping us recognize and fill critical gaps
The platform generates written investment materials such as memos, scorecards, and LP distributions incorporating both local files and publicly available information
Meetings are reliably recorded and available for detailed analysis through Q&A.
Impact & Outcomes
Model ML scaled the firm's operations, significantly improving deal screen turnaround time and diligence quality.
The platform serves as a central repository for data room files, diligence, and investment memos, allowing past opportunities to intelligently benchmark and contribute to new opportunities.
Model ML's analysis thoughtfully weaves in data analysis from a wider range of sources, including online resources they previously did not have the capabilities to reference.
The firm say that they have effectively hired a small team of analysts at a fraction the cost.
How Model ML Will Help In the Future
The firm expect an accumulating data advantage to that will drive meaningful value for our competitive positioning, influenced by both superior execution speed and return performance
The platform will increasingly become more integrated in the firm's workflow from sourcing to close to portfolio management
The firm be able to drop expensive subscriptions to data providers and continue to integrate their work under one platform.
"ModelML has significantly improved our operations by accelerating deal screening and enhancing the quality of due diligence. The integration of this platform into our workflow, from sourcing to portfolio management, has enabled us to streamline processes and reduce costs while upholding high standards. ModelML is essential in our efforts to maintain a competitive edge in the VC industry."
– Partner, Venture Capital Firm


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OFFICE LOCATIONS
New York
44 West 37th Street, New York
San Francisco
2261 Market Street, San Francisco
London
The Fjord Building, Kings Cross, London
Hong Kong
28 Stanley St Central, Hong Kong
OFFICE LOCATIONS
New York
44 West 37th Street, New York
San Francisco
2261 Market Street, San Francisco
London
The Fjord Building, Kings Cross, London
Hong Kong
28 Stanley St Central, Hong Kong
OFFICE LOCATIONS
New York
44 West 37th Street, New York
San Francisco
2261 Market Street, San Francisco
London
The Fjord Building, Kings Cross, London
Hong Kong
28 Stanley St Central, Hong Kong