How a Mid-Market Investment Bank Automates Research and Notes Using Model ML

How A Mid-Market Investment Bank Automates Research and Notes Using Model ML

Overview

• Location: London

• Team Size: 10+

• Partnered Since: March 2024

• Primary Use Cases: Research, buyer lists, company profiles, note taking

Key Challenges

• Manual creation of buyer/investor lists & industry research: Industry research and preparation of detailed buyer/investor/target lists would be a hugely time intensive task for analyst/associate teams. Requiring team members to manually research, review and document intel from multiple information sources and compile, understand and summarise intel into digestible but comprehensive overview of market players, market dynamics and the competitive landscape. 

• Manual inputting of company profiles: Company profiles needed to be compiled for each BD prospect and each potential buyer in a buyer list. This involved manually gathering data, such as company descriptions, ownership, financials, acquisition history, and recent news from dozens of sources for hundreds of companies at a time.

• Manual note taking on calls: Notes were manually typed or handwritten, leading to inconsistencies, less detail, and occasional inaccuracies. Notes were manually shared among team members.

How Model ML Helps Today

• Streamlined industry research and company profile compilation: The Threads functionality enables rapid information gathering by allowing them to define research objectives conversationally. Details can then seamlessly be transferred to the grids for deeper analysis, such as details on specific companies. The firm are able to set up templates for specific asks depending on the task at hand, so that the right type of information is delivered bespoke to that workstream.

• Effortless data extraction: Information in PDFs/word can be extracted into a grid/excel format quickly and simply, making the data easier and quicker to analyse.

• Automated note taking: The ModelML bot joins every meeting, ensuring the firm have accurate, consistent notes available for each call and easily accessible to everyone in the firm.

Impact & Outcomes

• Research tasks are conducted to a higher degree of granularity and completed much faster.

• Time spent on manual, time-intensive tasks have been significantly reduced, freeing up resources for value-add tasks.

• Creating prompts and templates from scratch, means that the tool can be fully customised to our firm’s needs, giving them the information they need, in the preferred format for their specific use case.

How Model ML Will Help In the Future

• With the ability to create advanced prompts from scratch, the tool will continue to streamline their processes and automate more daily tasks.

• Reduced time spent on manual tasks will allow us to provide more strategic, value add advice, while also providing an opportunity to expand our capacity without compromising their service quality.

• Automating the creation of marketing documents, such as Information Memorandums and teasers will allow them to complete these time intensive tasks in a faster manner, reducing the prep time spent on deals and ultimately allowing us to execute deals faster.

• As we continue to work closely with the Model ML team to build and design the tool, we will be helping to develop a CRM platform built into the tool. This will help them streamline the process of managing buyer/investor lists, tracking communications with investors, and overseeing deal workflows, resulting in unmatched efficiency

" ModelML is changing the way we work. Tasks such as: industry research, building buyer lists and populating company profiles, which traditionally take hours or even days, have been streamlined into automated processes that can now be completed within minutes. This game changing efficiency has allowed our team to focus on more strategic, value add activities, rather than spending hours researching and manually inputting information on spreadsheets.

We have considered and trialled other similar tools on the market, however, ModelML stands out with its unmatched versatility and customisation ability. The tool allows us to create prompts and use case templates from scratch, enabling ModelML to automate firm specific workflow, extracting information from a range of sources in the exact format required by our firm. This functionality is like nothing we have seen on the market and is the reason the tool is quickly becoming an integral part of our workflow.

The ModelML team is exceptional, always on hand to help us think about new ways we can use the tool and to help us build advanced prompts. We are continuously finding new use cases to automate even more of our daily tasks and with new features being released weekly, it feels like we are only scratching the surface on how ModelML will change the way we work!"