The startup develops clinically validated software applications that utilize artificial intelligence to analyze real-world data, enhancing patient outcomes and supporting the discovery of new medicines. By connecting patients, clinicians, and researchers, the platform generates extensive phenotypic databases that enable discovery research companies to maximize revenue in the healthcare sector.
Funding
$114.8M 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
The development of new drugs and therapies is often hampered by the lack of access to comprehensive, real-time patient data that accurately reflects real-world clinical settings. Traditional data sources may lack the depth, breadth, and connectivity needed to generate actionable insights across the drug development lifecycle.
Solution
Arcturis provides regulatory-grade real-world data (RWD) solutions to optimize drug development and improve patient outcomes. Through its Real-World Data Network, Arcturis curates enhanced electronic health records enriched with unstructured, molecular, and genetic data, offering a longitudinal view of patient journeys. By applying advanced real-world evidence (RWE) analytics and bioinformatics, Arcturis generates novel research insights to support target identification, clinical trial design, regulatory submissions, and post-market surveillance. The platform's data enrichment capabilities, including natural language processing (NLP), unlock valuable information from clinical notes and reports, ensuring a comprehensive and up-to-date view of patient health.
Target Audience
Arcturis primarily serves pharmaceutical and biotechnology companies, clinical research organizations, and healthcare providers seeking to leverage real-world data for drug discovery, clinical development, and post-market approval studies.
Features
- Access to a HRA-approved Real-World Data Network providing real-time, representative coverage of the UK population
- Curation of electronic health records, unstructured data, population data, and multi-modal data into disease-specific, research-ready datasets
- Advanced data engineering, clinical informatics, and machine learning techniques for data standardization, quality control, and enrichment
- ArcTEX, a proprietary NLP model for extracting biomarker and disease-specific information from unstructured clinical reports
- Next Generation Sequencing (NGS) Platform linking genetic and molecular data (genomics, transcriptomics, proteomics) to electronic health records
- Generation of regulatory-grade real-world evidence insights for use in submissions to regulatory bodies and health technology appraisals
- Expertise in generating external control arms for clinical trials and conducting pharmacoepidemiology studies
- ISO 27001 and Cyber Essentials Plus certifications, ensuring robust data security and compliance with privacy laws