How Phoenix Court Group Uses Model ML for Faster, Smarter Investments
May 5, 2025
5 MIN. READ
How Phoenix Court Group Uses Model ML for Faster, Smarter Investments
Overview
Location: London, UK
Team Size: 27
Partnered Since: 2024
Primary Use Cases: Market research, competitive analysis, document analysis, drafting memos, aggregating public market comparables
Key Challenges
Market research, competitive analysis, and the aggregation of public comparables consumed significant team resources, especially during live investment processes, limiting team velocity and capacity.
Sifting through and analysing large volumes of company materials, meeting notes, and research documents during due diligence - particularly at the growth stage - was highly time-consuming, requiring extensive summarisation and succinct articulation in memos to quickly bring the wider team up to speed.
How Model ML Helps Today
Model ML’s Grid delivers critical insights in seconds, from competitive analysis to market trends, enabling faster, more informed decisions throughout the investment process.
The firm now seamlessly use Model ML to sift through vast amounts of materials, uncovering key insights and summarising them into comprehensive, detailed memos to share with the team far more quickly. This allows us to circulate in-depth materials earlier in the process, keeping the wider team aligned throughout.
Chat-to-Grid’s intuitive interface enables complex analyses in minutes - tasks that previously required significant manual effort, such as aggregating public comparables or mapping competitors.
Impact & Outcomes
Model ML has transformed our investment processes, allowing us to move faster while providing a far better experience for founders and their teams. At the same time, we can now conduct deeper dives into businesses and markets without increasing the time spent.
Automating large chunks of competitor analysis, market mapping, and research means we can dedicate much more time to what matters most to us - spending meaningful time getting to know founders and their teams.
Outside of live investment processes, automation allows us to build data-driven perspectives on markets and themes we haven't yet invested in, helping us enter conversations with teams in these areas with a well-prepared mindset.
How Model ML Will Help in the Future
Model ML will further streamline their diligence process by integrating real-time, high-quality data from broader sources, leading to deeper and more impactful analysis.
The platform will help the firm identify emerging themes and sectors that align with our strategy, allowing us to spot opportunities early, enter processes more informed, and maintain our competitive edge.
"Model ML has fundamentally improved how we operate - streamlining research, automating key workflows, and enabling us to dedicate more time to what matters most: building strong relationships with founders and their teams." - Partner, Venture Capital Fund
How Phoenix Court Group Uses Model ML for Faster, Smarter Investments
Overview
Location: London, UK
Team Size: 27
Partnered Since: 2024
Primary Use Cases: Market research, competitive analysis, document analysis, drafting memos, aggregating public market comparables
Key Challenges
Market research, competitive analysis, and the aggregation of public comparables consumed significant team resources, especially during live investment processes, limiting team velocity and capacity.
Sifting through and analysing large volumes of company materials, meeting notes, and research documents during due diligence - particularly at the growth stage - was highly time-consuming, requiring extensive summarisation and succinct articulation in memos to quickly bring the wider team up to speed.
How Model ML Helps Today
Model ML’s Grid delivers critical insights in seconds, from competitive analysis to market trends, enabling faster, more informed decisions throughout the investment process.
The firm now seamlessly use Model ML to sift through vast amounts of materials, uncovering key insights and summarising them into comprehensive, detailed memos to share with the team far more quickly. This allows us to circulate in-depth materials earlier in the process, keeping the wider team aligned throughout.
Chat-to-Grid’s intuitive interface enables complex analyses in minutes - tasks that previously required significant manual effort, such as aggregating public comparables or mapping competitors.
Impact & Outcomes
Model ML has transformed our investment processes, allowing us to move faster while providing a far better experience for founders and their teams. At the same time, we can now conduct deeper dives into businesses and markets without increasing the time spent.
Automating large chunks of competitor analysis, market mapping, and research means we can dedicate much more time to what matters most to us - spending meaningful time getting to know founders and their teams.
Outside of live investment processes, automation allows us to build data-driven perspectives on markets and themes we haven't yet invested in, helping us enter conversations with teams in these areas with a well-prepared mindset.
How Model ML Will Help in the Future
Model ML will further streamline their diligence process by integrating real-time, high-quality data from broader sources, leading to deeper and more impactful analysis.
The platform will help the firm identify emerging themes and sectors that align with our strategy, allowing us to spot opportunities early, enter processes more informed, and maintain our competitive edge.
"Model ML has fundamentally improved how we operate - streamlining research, automating key workflows, and enabling us to dedicate more time to what matters most: building strong relationships with founders and their teams." - Partner, Venture Capital Fund
How Phoenix Court Group Uses Model ML for Faster, Smarter Investments
Overview
Location: London, UK
Team Size: 27
Partnered Since: 2024
Primary Use Cases: Market research, competitive analysis, document analysis, drafting memos, aggregating public market comparables
Key Challenges
Market research, competitive analysis, and the aggregation of public comparables consumed significant team resources, especially during live investment processes, limiting team velocity and capacity.
Sifting through and analysing large volumes of company materials, meeting notes, and research documents during due diligence - particularly at the growth stage - was highly time-consuming, requiring extensive summarisation and succinct articulation in memos to quickly bring the wider team up to speed.
How Model ML Helps Today
Model ML’s Grid delivers critical insights in seconds, from competitive analysis to market trends, enabling faster, more informed decisions throughout the investment process.
The firm now seamlessly use Model ML to sift through vast amounts of materials, uncovering key insights and summarising them into comprehensive, detailed memos to share with the team far more quickly. This allows us to circulate in-depth materials earlier in the process, keeping the wider team aligned throughout.
Chat-to-Grid’s intuitive interface enables complex analyses in minutes - tasks that previously required significant manual effort, such as aggregating public comparables or mapping competitors.
Impact & Outcomes
Model ML has transformed our investment processes, allowing us to move faster while providing a far better experience for founders and their teams. At the same time, we can now conduct deeper dives into businesses and markets without increasing the time spent.
Automating large chunks of competitor analysis, market mapping, and research means we can dedicate much more time to what matters most to us - spending meaningful time getting to know founders and their teams.
Outside of live investment processes, automation allows us to build data-driven perspectives on markets and themes we haven't yet invested in, helping us enter conversations with teams in these areas with a well-prepared mindset.
How Model ML Will Help in the Future
Model ML will further streamline their diligence process by integrating real-time, high-quality data from broader sources, leading to deeper and more impactful analysis.
The platform will help the firm identify emerging themes and sectors that align with our strategy, allowing us to spot opportunities early, enter processes more informed, and maintain our competitive edge.
"Model ML has fundamentally improved how we operate - streamlining research, automating key workflows, and enabling us to dedicate more time to what matters most: building strong relationships with founders and their teams." - Partner, Venture Capital Fund
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