Trapol8 provides an AI-powered platform that automates the completion of due diligence questionnaires (DDQs) for investment firms. The system learns from past responses to ensure consistency, accuracy, and customization across all investor submissions. This automation allows investor relations teams to reclaim time previously spent on repetitive tasks and focus on client relationships.
Funding
$970K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Investor relations teams and other organizations spend significant time and resources manually extracting and structuring data from unstructured documents like due diligence questionnaires (DDQs), requests for proposals (RFPs), and commercial leases. This process is often tedious, error-prone, and inconsistent, leading to compliance risks and inefficient workflows.
Solution
Trapol8 is a no-code, AI-powered platform that automates the extraction of structured data from unstructured documents, transforming them into relational databases. The platform leverages intelligent document processing (IDP) to streamline data entry and document analysis, reducing manual labor and increasing accuracy. Users can design and manage relational databases with an intuitive drag-and-drop interface, connecting forms and creating multidimensional data structures without requiring coding expertise. The AI suggests data entries, which users can review and approve to ensure accuracy and consistency across documents and reports.
Target Audience
Trapol8 primarily targets investor relations teams, asset managers, and commercial real estate professionals who need to efficiently manage and extract data from large volumes of unstructured documents.
Features
- AI-powered document analysis for automated data extraction
- No-code platform with a drag-and-drop interface for designing relational databases
- Intelligent Document Processing (IDP) to reduce manual data entry
- AI-suggested data entries with user review and approval workflow
- Ability to connect forms and create multidimensional data structures
- Automated tailoring of responses to address specific investor concerns
- Version control to capture team knowledge with each interaction