Dili

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Revolutionize due diligence with AI-driven automation and integration.

About

Dili offers an automated platform designed to simplify due diligence for organizations dealing with complex transactions and portfolio management. Leveraging AI, it streamlines the collection and integration of data from dispersed digital sources like file storage services and emails. As a result, teams can spend less time gathering information and more time analyzing deals.

Through machine learning and advanced natural language processing, Dili generates customized reports and documentation, adapting to the unique style requirements of each user. It provides analytical tools for comparing transactions, benchmarking deals, and identifying potential red flags such as financial inconsistencies or legal risks. Security is a key feature, with the platform implementing safeguards like SOC2 Type II certification and encryption at all stages.

The platform is aimed at making the due diligence process more efficient for professionals who routinely manage large data volumes. By offering a centralized interface, Dili also assists with tracking deals across their lifecycle, supporting efficient workflows without the need for manual data entry or scattered oversight.

Who is Dili made for?

CFO / Head of Finance Legal / Compliance Officer Data Analyst / BI Specialist
Growing startup (11-25 people) Small company (26-50 people) Mid-sized company (51-100 people)

Dili is best suited for professionals handling financial and legal due diligence in mid-sized to larger organizations. This includes analysts and managers in venture capital and private equity firms who are responsible for evaluating multiple deals or portfolios. Legal counsel overseeing risk management during mergers, acquisitions, or corporate transactions will also find value in Dili’s automation and issue detection features.

Financial analysts benefit from its rapid benchmarking and reporting abilities, allowing them to screen investment opportunities efficiently. The tool is especially valuable for teams managing large-scale, digitally stored datasets who need to reduce manual processing while maintaining accuracy and compliance.

Other less common users, such as non-profits tracking grants or academics conducting market research, may also take advantage of Dili’s streamlined data aggregation and reporting tools.