How Expedition Growth Capital Streamlines Deals with Model ML

Overview

• Location: London, United Kingdom

• Team Size: 22 [5 active users]

• Partnered Since: 2024

• Primary Use Cases: due diligence automation, document query, notetaking

Key Challenges

• A surplus of manual, time consuming tasks previously took the Expedition team away from high-value projects and work streams.

• Generative AI had previously unlocked a lot of potential for them as a firm, but also introduced a lot of risk in terms of output quality and accuracy.

How Model ML Helps Today

• Model ML streamlines the early due diligence process – particularly in terms of getting up to speed on specific markets and domains. This goes beyond just an LLM-connection: the augmentation of this technology with high quality data integrations brings strong business value and high trust to the output. The Expedition team have already seen benefits in IC memo creation in terms of time-saving but also in in terms of deepening our own expertise at a much faster rate, enabling more efficient investment processes.

• Iterating on an email building in concert with Model ML. 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.

• From an operational standpoint, 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. This has enabled a more timely decision process and the chat-like UX increases the accessibility of many of these legalese documents.

Impact & Outcomes

• Model ML has increased efficiency of manual tasks, allowing greater focus on higher-value (and more interesting) aspects of the job.

• Model ML facilitates greater data accuracy and access throughout our processes.

• Model ML builds a faster and more dynamic understanding of niche, expert domains.

How ModelML Will Help In the Future

• Expedition Growth Capital have begun working with and expect to expand use of the Model ML API, enabling the technical capability that Model ML brings to be integrated directly into our increasingly automated tech stack. This includes building automated first-call prep packs ahead of a meeting and integrating the email builder into our workflow without needing to manually use Model ML UI, further driving efficiency gains.

• Increasing data partnerships will augment all of Expedition Capital's existing workflows – the combination of a modern agentic framework paired with high-quality data integrations is what drives business value for us. As these partnerships deepen and expand, this benefit will only increase.

• Expedition Capital hope that the content Model ML helps them produce will become increasingly integrated into their formalised due diligence memos as well as helping to drive greater interactions and response rates from the prospects we outbound to.

" As a firm, we are constantly seeking ways to streamline manual, time-consuming tasks that divert our team from high-value initiatives. 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, to name but a few. The combination of high-quality data integrations with advanced AI capabilities has not only saved us time but has also deepened our market expertise and improved the accuracy of our data-driven decisions. Looking ahead, we see Model ML playing a crucial role in our evolving tech stack, ultimately allowing us to focus on what matters most—identifying and engaging with the right investment opportunities."

– Data Lead, Growth Equity Firm