Caseify is a mobile app that lets field workers capture notes, audio, scanned documents, and images in a single digital case file. Its AI analyzes the collected media to automatically draft a detailed incident narrative, which can be edited and emailed directly into existing reporting systems, streamlining the transition from field collection to official documentation.
Funding
Funding not disclosed
Founders
Product
Problem
Many field workers and incident responders still rely on pen‑and‑paper notes, separate audio recordings, and manual document compilation, which leads to fragmented case files, delayed reporting, and increased risk of errors when transferring information into official incident reporting systems.
Solution
Caseify is a mobile application that consolidates field notes, audio recordings, scanned documents, and images into a single digital case file. Users start a report by labeling it, then capture or upload all relevant media directly within the app. Built‑in AI analyzes the uploaded content and automatically drafts a detailed narrative report, which can be edited before export. The final report can be emailed directly to integrate with an organization’s existing incident reporting software, streamlining the handoff from field collection to official documentation.
Target Audience
Primary users are field personnel, safety officers, and incident investigators who need to capture and submit detailed reports quickly, as well as organizations that require consistent, digitized incident documentation.
Features
- Unified interface for creating reports, adding text notes, voice recordings, document scans, and image uploads
- AI‑driven analysis of uploaded media that generates a comprehensive narrative based on content
- Editable auto‑generated reports allowing users to refine AI output before finalizing
- One‑tap email export to seamlessly feed reports into existing departmental incident reporting systems
- Customizable report metadata fields such as case number, title, and date for easy organization and retrieval