How Expedition Growth Capital Streamlines Deals with Model ML

About Expedition Growth Capital

Expedition Growth Capital is a software specialist growth equity firm based in London. Expedition brings capital for growth and shareholder liquidity, highly relevant operational expertise, and a track record of respectfully partnering with ambitious, bootstrapped founders on their path to category leadership.

The Challenge

Expedition Growth Capital faced a surplus of manual, time-consuming tasks that distracted the team from high-value projects and investment decisions.

While generative AI showed promise in accelerating workflows, it also introduced risks around quality, accuracy, and trust. The team needed a solution that could streamline due diligence and operations, while maintaining the rigor and reliability essential in growth equity investing.

The Solution

Model ML was introduced to automate and enhance key research and operational processes:

• IC memo creation: Quickly ramping up on niche markets and domains, producing draft IC memos, and deepening internal expertise.

• Outbound engagement: As an outbound-first firm, producing high quality, personalised email outbound is a priority to winning over founders and CEOs early on in business interactions. Model ML has enabled this process to be more scalable – using market research and its strong data partnerships to augment content generation for such outreach.

• Document review: Expedition Growth Capital have also been using Model ML to drive efficiency gains in document review – for example, comparing like for like contracts between vendors. The ease of using the Threads interface has increased the accessibility of many of these legalese documents, and enabled a more timely decision process.

Impact

“Model ML has unlocked significant potential for us—enhancing our due diligence processes, improving outbound email personalisation, and driving operational efficiencies in areas such as document review. The combination of high-quality data integrations with advanced AI capabilities has not only saved us time but also deepened our expertise and improved the accuracy of our decisions.”

– Data Lead, Expedition Growth Capital

• Efficiency: Freed the team from manual, repetitive tasks, allowing more focus on strategic, high-value work.

• Accuracy: Improved reliability of insights and reduced the risk of low-quality AI outputs.

• Expertise: Enabled faster ramp-up on niche domains, deepening investment knowledge.

• Future-proofing: Positioned Expedition to integrate Model ML into an increasingly automated tech stack, ensuring continued efficiency and scalability.