Synthesa provides AI-based evidence synthesis services specifically tailored for the healthcare and pharmaceutical industries. The company utilizes a custom AI engine combined with expert review to efficiently conduct systematic reviews and meta-analyses. This process delivers accurate, structured reports supporting clinical, research, and strategic decision-making needs.
Funding
Funding not disclosed
Founders
Product
Problem
Conducting comprehensive systematic reviews and meta-analyses is a time-consuming and resource-intensive process, often leading to delays in critical decision-making for healthcare and pharmaceutical organizations. The manual extraction and synthesis of vast amounts of research data can introduce human error and limit the depth of analysis achievable within project timelines.
Solution
Synthesa provides an AI-powered platform designed to accelerate and enhance the evidence synthesis process for the healthcare and pharmaceutical sectors. Our proprietary AI engine automates the extraction, analysis, and synthesis of data from diverse research sources, enabling the rapid generation of systematic reviews and meta-analyses. This approach significantly reduces turnaround times while improving the accuracy and comprehensiveness of the synthesized evidence. We deliver tailored reports that provide actionable insights, supporting clients in making data-driven strategic, clinical, and regulatory decisions.
Target Audience
Our primary clients include pharmaceutical companies, biotech firms, medical device manufacturers, medical communications agencies, contract research organizations (CROs), and academic researchers requiring rigorous evidence synthesis.
Features
- AI-driven data extraction and synthesis engine for systematic reviews and meta-analyses.
- Automated literature search and screening capabilities to identify relevant studies.
- Natural Language Processing (NLP) for efficient extraction of key data points and outcomes.
- Machine learning models for quantitative synthesis and meta-analysis calculations.
- Customizable reporting formats tailored to specific client needs (e.g., R&D, clinical trials, market access).
- Secure cloud-based platform for project management and data collaboration.
- Expert human review integrated into the AI workflow to ensure quality and validation.