Flinn provides an AI-driven platform that automates quality and regulatory compliance processes for medical device manufacturers, significantly enhancing post-market surveillance efficiency. By integrating data collection, evaluation, and documentation into a single tool, Flinn enables users to achieve 10x operational efficiency while ensuring 100% compliance with MDR requirements.
Funding
$8.6M 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
Medical device manufacturers face challenges in efficiently collecting, evaluating, and documenting post-market surveillance (PMS) data to comply with stringent regulatory requirements like the MDR. The process often involves manually sifting through vast amounts of data from disparate sources, leading to inefficiencies and potential compliance gaps. This can result in delayed detection of safety issues and increased operational costs.
Solution
Flinn offers an AI-powered platform designed to automate and streamline quality and regulatory compliance processes for medical device manufacturers, specifically focusing on post-market surveillance. The platform integrates data collection from multiple sources, AI-assisted evaluation, and automated documentation into a unified system. By leveraging AI, Flinn enables users to efficiently identify safety signals, manage complaints, and generate MDR-compliant reports with reduced manual effort. The system aims to improve operational efficiency, ensure regulatory compliance, and facilitate faster detection of potential risks associated with medical devices.
Target Audience
The primary target audience includes medical device manufacturers in various sectors such as dental, endoscopy, contraception, and in-vitro diagnostics, who need to streamline their post-market surveillance processes and ensure compliance with regulatory requirements.
Features
- Automated data collection from diverse sources, including safety databases, literature, and complaint data.
- AI-assisted evaluation of PMS data, including abstract screening and data extraction from full-length papers.
- Smart complaint data handling with automated IMDRF coding and vigilance case detection.
- Continuous monitoring of trends and risks associated with medical devices.
- Automated generation of MDR-compliant documentation.
- Integrated safety database monitoring with 1-click documentation.
- Custom-trained AI for literature evaluation, screening millions of papers.
- Smart intake form for complaint data with automated coding.