A European-based PE fund with a strong thematic investment focus struggled to identify relevant companies within specific themes and verticals, as current solutions were too generic and not precise enough to capture the most suitable companies. The fund sought a more customized and proprietary solution.
The PE fund contacted Sigmadata to develop a superior sourcing solution that aligned with its strong thematic focus. Sigmadata utilized its unique and proprietary technology to create a customized sourcing solution capable of classifying all relevant companies into the fund's specific themes and verticals. The output was delivered in a custom format tailored to the fund's needs.
A large global fund headquartered in the US sought to further strengthen its proprietary deal flow and unlock a more sophisticated, data-driven approach to identify relevant platform and add-on opportunities within its verticals. The goal was to develop a master sourcing tool.
The global fund, in partnership with Sigmadata, designed the solution requirements, including the data to be used, layout, and necessary features. Based on these specifications, the Sigmadata AI team built a custom Generative AI (GenAI) sourcing platform for the fund, featuring customized branding, functionalities, and models. This platform supports the fund's proprietary sourcing by leveraging its classifications and data.
A rapidly expanding growth fund was looking to continue its growth and future expansions. It sought a data-driven foundation for its sourcing to sustain this continued expansion. The growth fund, therefore, needed a smarter approach to spot and identify businesses beyond traditional databases.
Together, the growth fund and Sigmadata designed a forward-looking, data-driven sourcing approach for the fund. To build this model, Sigmadata leveraged its data solutions to gather all relevant information from the internet. This data was then processed to identify pertinent themes and companies within the growth fund's investment focus on software. The result is a comprehensive data-driven solution that scans the market for relevant themes and companies.
As a large global fund, the fund is engaged in many deals annually, where due diligence (DD) plays a critical role in assessing these deals. However, DD is time-consuming and largely manual, often involving advisors. Therefore, the global fund sought to enhance the DD process more intelligently.
The global fund contacted Sigmadata to explore the possibilities of a custom AI due diligence platform. In collaboration, Sigmadata and the global fund designed this platform. By leveraging Sigmadata's AI technology for GenAI and due diligence, they developed a custom solution that reduced manual processes by ~20% and enhanced the efficiency of the due diligence process. Thanks to this custom platform, the global fund can perform due diligence more quickly and cost-effectively while still achieving excellent results.
The PE fund was a thematic-focused fund with a strong emphasis on sustainability companies. The fund struggled to find relevant sustainability companies and relied heavily on a broad range of databases, networks, and advisors. However, these resources were not sufficient for the fund's needs.
In collaboration with the thematic-focused fund, Sigmadata designed a solution tailored to the fund's specific use cases and needs. By leveraging Sigmadata's unique data solutions and sourcing models, the company created a system that identifies and spots companies within the fund's investment scope. Additionally, Sigmadata's AI models classify these companies into relevant verticals and themes, and assign custom sustainability labels. This enables the thematic fund to easily identify themes and companies within specific niches and verticals.