This startup uses generative AI to automate the creation of medical writing deliverables for clinical trials. Their platform accelerates the writing process and improves efficiency for pharmaceutical companies and research organizations.
Funding
Funding not disclosed
Founders
Product
Problem
The creation of medical writing deliverables for clinical trials is a time-consuming and resource-intensive process. Pharmaceutical companies and research organizations face challenges in efficiently producing accurate and compliant documentation, which can delay trial timelines and increase costs.
Solution
MPilotAI offers an agentic AI platform designed to automate and accelerate the generation of clinical trial documents. The platform leverages a proprietary metadata foundation and AI system trained on a comprehensive database of clinical trial protocols. This enables the AI to understand and organize the intricacies of clinical research, suggest optimal activities and timepoints, and deliver accurate, up-to-date documentation. MPilotAI streamlines the clinical trial writing management process, reduces administrative overhead, and enhances the reliability of trial documentation.
Target Audience
The primary target audience includes researchers, pharmaceutical companies, and academic institutions involved in clinical trials.
Features
- Proprietary metadata foundation that integrates with clinical trial protocols
- AI system trained on approximately 500 components/variables essential to clinical trials
- Machine learning models that deliver precise and accurate responses, reducing hallucination effects
- Chatbot powered by a proprietary protocol database for on-demand, accurate answers
- Clinical Trials Writing Management System for streamlining document management and dissemination
- Content auto-update service that ensures documents are current with the latest amendments and regulatory requirements
- Dual interface with a Word add-in and a web-based platform
- Secure environment leveraging a proprietary Large Language Model (LLM)