How 14Peaks Transformed Their Venture Capital Workflows with Model ML

14Peaks Capital Success Story: Transforming Venture Capital Workflows with ModelML

Overview 

• Location: United States and Switzerland 

• Team Size: 5 

• Partnered Since: 2024 

• Primary Use Cases: due diligence, research, documentation workflows, notetaking  

Key Challenges 

• Initially, 14 Peaks faced inefficiencies with manual notetaking during diligence calls and  meetings, which made it difficult to capture critical details consistently and accurately. 

• Creating structured formats within key documents, such as investment memos and  diligence reports, required significant manual effort, slowing down our overall  workflow. 

• Sorting through large virtual data rooms (VDRs) to extract specific data points was  time-consuming. 

• 14 Peaks diligence research, especially on complex topics like competitive landscapes,  lacked automation, resulting in longer timelines and potentially incomplete analysis. 

How Model ML Helps Today 

• The notetaking function and pre-built templates allow teams at 14 Peaks to efficiently capture key  insights during meetings with partner funds, portfolio companies, and prospective  investments. 

• The grid functionality automates the process of populating investment memos and  diligence reports, significantly reducing manual work and improving accuracy. 

• The chat feature enables 14 Peaks to quickly access specific insights and retrieve  relevant data from all the files and calls we have for a project and perform  comprehensive market research in real-time, streamlining our decision-making  process. 

Impact & Outcomes 

• The adoption of ModelML has accelerated our ability to review and evaluate  investment opportunities, ensuring faster response times to potential deals. 

• ModelML stands out amongst competitors by enabling custom automations—such as  VDR audits that populate diligence areas like financials, market, and product—saving  us several hours when preparing IC memos and ensuring comprehensive coverage. 

• As a design partner, we have worked closely with the ModelML team to shape the platform’s development and ensure it meets the real-world needs of venture capital  investors like 14 Peaks. The team’s responsiveness to our feedback has resulted in  rapid execution of critical improvements, enhancing the overall user experience.  Weekly alerts with feature tutorials keep us informed about newly launched product  features, helping us stay up-to-date and immediately benefit from new capabilities. 

How Model ML Will Help In the Future 

• ModelML will continue to support the 14 Peaks outbound investment strategy by providing  more robust tools for analysing new opportunities at scale. 

• 14 Peaks expect further improvements in their diligence process, particularly with deeper automation in research-intensive areas like market dynamics and competitor  analysis. 

• Automating the creation of documents, such as investment memorandums, by  enabling the export of grid outputs with predefined file structures and desired file  types will significantly enhance execution speed. 

• As 14 Peaks scale their operations, ModelML’s capabilities will enable them to handle a larger volume of investments without compromising quality or speed. 

"ModelML has transformed the way we handle diligence and  investment decision-making by automating key workflows,  improving data-driven insights, and accelerating documentation.  From simplifying note-taking to providing critical due diligence  insights through chat, the platform has significantly enhanced our  operational efficiency and investment decision-making. As a design  partner, we’ve also benefited from their rapid innovation, with new  features and updates arriving weekly to further improve our  process. ModelML has proven to be an essential partner in helping  us scale smarter and faster.”  

General Partner, Venture Capital Fund