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

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