Top 50 Clinical Trial Platform in Europe

OneStudyTeam offers the StudyTeam platform, a cloud-based solution that digitizes clinical trial site workflows to enhance patient recruitment and enrollment efficiency. By providing real-time visibility into recruitment activities, the platform reduces administrative burdens on research sites and enables sponsors to optimize patient enrollment strategies.

The startup offers a patient recruitment platform that connects clinical researchers with individuals seeking treatment options by providing detailed information on clinical trials, including eligibility criteria and study objectives. This platform addresses the challenge of patient enrollment in clinical studies, facilitating access to potential treatment opportunities for patients and enhancing recruitment efficiency for researchers.

myTomorrows is a global platform that connects patients with unmet medical needs to clinical trials and treatments in development, utilizing personalized patient navigation and advanced search technology. The platform addresses the challenge of accessing timely treatment options by providing patients and healthcare professionals with streamlined resources and support for clinical trial enrollment and expanded access programs.

R.grid provides an AI-driven automation platform that integrates trial management processes from pre-trial to trial close, significantly reducing administrative errors and delays. Its products, Inclusive and TrialEngine, streamline patient recruitment and automate complex workflows, cutting trial timelines by months and enhancing overall trial success rates.

Menken provides eTMF and eISF platforms integrated with MenkenMONITOR, utilizing intelligent automation to enhance the management of clinical trial documentation and oversight. This technology reduces manual workload, minimizes errors, and improves data compliance, accelerating the overall trial process and ensuring timely delivery of life-saving treatments.

ConcertAI is an AI-driven platform that utilizes real-world data and advanced analytics to enhance clinical trial design and execution in oncology. The company addresses the inefficiencies in cancer research by providing biopharma partners with actionable insights to accelerate drug development and improve patient outcomes.

uMed utilizes the ACCESS Research Platform to automate the clinical studies process by creating consented patient cohorts and integrating electronic health records with real-time clinical outcomes. This approach addresses the challenges of slow patient enrollment and limited access to diverse populations in clinical research, enabling faster and more representative studies.

SubjectWell is a patient recruitment platform that utilizes machine learning to match healthcare-motivated patients with clinical studies across various therapeutic areas, ensuring a diverse and pre-qualified patient pool. By streamlining the connection between sponsors, CROs, and patients, SubjectWell reduces the time to start screening patients from weeks to days, enhancing the efficiency of clinical trials.

Trialbee offers the Honey Platform, a vendor-agnostic patient recruitment solution that centralizes recruitment activities and provides real-time tracking and reporting. By utilizing data-driven modeling and targeted outreach, Trialbee enhances patient engagement and referral quality while reducing the burden on clinical sites.

OASYS NOW is developing an AI-powered patient recruitment platform that utilizes health data to match individuals with relevant clinical trials, significantly reducing the time required to identify eligible patient cohorts from months to minutes. The GRIP app empowers users to control their health data and receive personalized insights, facilitating faster access to potential treatments.

Akrivia Health utilizes AI-powered natural language processing to analyze the world's largest dataset of de-identified psychiatric records, facilitating real-world evidence generation and clinical trial optimization for mental health and dementia research. By improving patient recruitment and study feasibility, the platform addresses the high costs and lengthy timelines associated with clinical trials in these critical areas.

Theremia utilizes an AI-driven platform to enhance drug efficacy and minimize side effects by tailoring treatments to the specific needs of diverse patient demographics. The company improves clinical trial processes, leading to more precise outcomes and faster market access for pharmaceutical products.

The startup has developed a proteomics platform that utilizes quantitative and targeted biomarker analysis to provide molecular insights into drug response. This technology accelerates clinical trials across various disease areas, enabling pharmaceutical companies to enhance trial success rates and improve access to therapies.

Biorce develops Jarvis, the first Clinical AI Assistant that utilizes artificial intelligence to streamline clinical trial design, protocol development, and patient recruitment. This technology addresses delays in drug development by providing rapid access to clinical data, enhancing efficiency and reducing costs for researchers and healthcare providers.

Median Technologies offers the iCRO platform, an end‑to‑end imaging solution for oncology clinical trials that automates acquisition, de‑identification, storage and AI‑driven quantitative biomarker extraction from CT, MRI and PET scans to accelerate response assessment and regulatory reporting. The company also provides eyonis®, an AI/ML‑powered SaMD suite for computer‑assisted detection and diagnosis of early‑stage lung and liver cancers, delivering validated CADe/CADx performance through DICOM and HL7/FHIR integration. Both products are CE‑marked and FDA‑cleared, targeting pharma/biotech sponsors, CROs and radiology departments seeking scalable, compliant imaging analytics.

Ingenix provides a multimodal generative AI platform that builds digital twins of drug candidates by integrating genomics, proteomics, imaging, literature, and electronic health records across molecular to population scales. The system delivers detailed, interpretable predictions of clinical efficacy, safety endpoints, and adverse events, and supports natural‑language “what‑if” queries for trial design and candidate prioritization. It is aimed at pre‑clinical, strategic R&D, and clinical development teams in pharmaceutical and biotechnology companies.

Sano Genetics provides a platform that integrates patient recruitment, DNA testing, and electronic medical record retrieval to enhance the efficiency of precision medicine studies. By automating workflows and facilitating participant engagement, Sano addresses the challenges of slow enrollment and data collection in clinical research.

The startup operates an independent Site Management Organization that conducts clinical trials by identifying, recruiting, and retaining patients at dedicated research sites. This service enables Contract Research Organizations and pharmaceutical companies to efficiently match patients with appropriate trials across various therapeutic areas.

Whyze Health is a digital platform that connects patients, healthcare providers, payers, and pharmaceutical companies through secure data sharing, enabling collaborative care and improved treatment options. By facilitating direct communication among all stakeholders, the platform enhances patient outcomes and increases access to clinical trials.

iLoF utilizes a cloud-based platform that employs photonics and AI to create a digital library of optical fingerprints for non-invasive patient screening and stratification in clinical trials. This technology reduces screening time by 70% and costs by 40%, while providing a more qualified pool of candidates for drug development.

Turing Biosystems develops a software platform that utilizes interpretable AI and automated reasoning to integrate and analyze multimodal clinical and biological data, addressing high failure rates and adverse immune responses in immunotherapy and cell gene therapy. By optimizing clinical outcomes, the platform enables clinicians and biopharma to deliver more effective and safer treatments tailored to individual patient responses.

Empatica develops FDA-cleared wearable devices and a health monitoring platform that continuously collects clinical-quality health data and digital biomarkers from everyday life. This technology enables researchers and clinicians to monitor conditions such as epilepsy and movement disorders, enhancing data collection for clinical trials and real-world health insights.

Cumulus Neuroscience has developed a medical-grade platform that integrates at-home EEG monitoring with tablet-based cognitive assessments to collect longitudinal data on brain health. This technology addresses the challenges of late diagnosis and ineffective monitoring in neurodegenerative diseases and psychiatric disorders, facilitating more efficient clinical trials and improving therapy delivery.

Clouds of Care de-risks CNS clinical development by identifying and validating clinically relevant endpoints through multimodal data aggregation and analysis. Their platform connects to a network of Digital Health Technologies to generate scientifically validated insights, improving the probability of success for CNS drug development.

The startup develops a cancer data and biomarker discovery platform that integrates disparate cancer data sources and employs machine learning techniques for real-world data analysis. This platform enables secure and instantaneous sharing of patient data for clinical research, significantly reducing the time from discovery to treatment.

Skezi provides a specialized software platform for managing e-cohorts, enabling the collection and analysis of health data directly from patients, caregivers, and healthcare providers. This approach enhances clinical research and patient monitoring by integrating patient-reported outcomes into routine medical evaluations, thereby improving the quality of care.

Uses computational models and generative AI to create customizable virtual patient populations and conduct in silico trials, enabling the assessment of medical device safety and efficacy without human testing. This approach reduces design failures, accelerates R&D timelines, and optimizes clinical trials by simulating diverse anatomical, physiological, and pathological conditions at scale.

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.

Provides a federated data platform for healthcare organizations, enabling the integration and harmonization of structured and unstructured clinical data using NLP and OMOP CDM. This system supports real-world evidence generation and multicenter studies in oncology and cardiology, improving data quality and accelerating research while ensuring compliance with privacy regulations.

The startup develops a lead generation and marketing platform that utilizes proprietary algorithms to aggregate scientific data from online sources, creating a comprehensive database tailored for the life sciences and biopharma sectors. This platform enables pharmaceutical and biotech companies to efficiently identify and connect with external scientists for clinical trial partnerships.

The startup operates an artificial intelligence platform that integrates data across the healthcare ecosystem to enhance treatment options and improve patient outcomes. By democratizing access to clinical trials, the platform enables healthcare providers to deliver more effective services to patients.

Akkure is a digital platform utilizing AI and genomics to enhance clinical trial recruitment for oncology by providing precise patient-trial matching and personalized trial recommendations. The platform ensures GDPR and HIPAA compliance, facilitating secure access and ownership of clinical data while streamlining the enrollment process for patients and healthcare providers.

VCTC operates patient-centric clinical trial sites that utilize streamlined recruitment processes and direct access methods to enhance participation in clinical research. By removing traditional barriers, VCTC accelerates patient enrollment and ensures diverse representation, ultimately delivering high-quality data for faster treatment development.

TwinEdge Bioscience provides a cloud‑based platform that creates high‑fidelity digital twins of individual patient tumors by integrating genomics, transcriptomics, proteomics and histopathology data. Its AI‑augmented simulation engine predicts drug response, resistance mechanisms and biomarker associations across a library of over 10,000 validated tumor avatars, enabling pharmaceutical and CRO teams to prioritize candidates, design trials and stratify patients before human enrollment.

Stitch provides a patient engagement platform that automates reminders and integrates with clinical trial management systems to ensure participants attend visits prepared. This technology reduces no-shows and streamlines the recruitment process, enhancing patient experience and accelerating trial enrollment.

Climedo offers a web-based eClinical platform that facilitates the collection of high-quality clinical data through electronic Clinical Outcome Assessments (eCOA) and Real-World Data (RWD) for non-interventional studies. The platform enhances data quality and compliance while reducing time and costs associated with traditional paper-based data collection methods in clinical research.

The startup provides clinical trial and therapy services that enhance patient engagement and optimize trial processes for pharmaceutical companies. By improving the quality of patient data and fostering trust in trial partnerships, the company addresses inefficiencies in clinical research and patient recruitment.

Themison is a patient-centric platform that utilizes real-time engagement analytics and a mobile app to enhance communication and support throughout clinical trials. By simplifying complex medical information and personalizing patient experiences, the platform aims to reduce dropout rates and accelerate trial completion.

Ancora.ai is a digital platform that utilizes artificial intelligence to match patients with relevant clinical trials based on their medical profiles and preferences. This approach addresses the challenge of low patient enrollment in clinical studies, enhancing recruitment efficiency and accelerating the trial process.

CliniNote provides a platform that utilizes AI-driven tools to capture and structure high-quality clinical real-world data in real time, ensuring interoperability and data consistency. This addresses the critical need for reliable clinical data to enhance research, drug development, and patient care without increasing the workload for healthcare professionals.

This clinical trials platform provides a comprehensive suite of tools for pharmaceutical, biotech, and CRO clients, streamlining workflows from consent management and televisit scheduling to patient data collection. It enhances participant engagement and offers operational dashboards for study control, leveraging distributed computing for global accessibility.

Provides a HIPAA-compliant platform that integrates with electronic health records (EHR) to automate patient pre-screening and recruitment for clinical trials. By leveraging AI-driven patient matching and site management partnerships, it reduces enrollment delays, increases trial accessibility for rural and community-based providers, and enables real-time monitoring of recruitment progress for sponsors.

The startup develops an EHR data analysis platform that utilizes machine learning algorithms to identify symptomatic patients based on specific phenotypes for clinical trials. This technology enhances the recruitment process for drug testing, enabling researchers to efficiently target and examine new treatments on suitable candidates.

Aparito's Atom5™ eCOA platform digitizes clinical trials by capturing high-frequency data through video assessments, wearable devices, and electronic patient-reported outcomes (ePROs). This technology enables clinical teams to obtain real-time insights from real-world data, enhancing the efficiency and accuracy of trial monitoring.

EvidentIQ provides an integrated cloud platform for clinical data management, featuring electronic data capture (EDC), clinical trial management systems (CTMS), and electronic trial master files (eTMF) to streamline decentralized clinical trials. The platform enhances patient engagement and data reliability, addressing inefficiencies in clinical research processes and improving the accuracy of patient-centered outcomes.

PatLynk connects patients with suitable clinical trials through advanced data analytics and a patient-centric platform, enhancing trial accessibility and efficiency. The startup addresses the challenge of patient recruitment in clinical research, facilitating faster and more effective trial participation.

GeneHub is a clinical trials accelerator that connects patients with drug developers to enhance access to relevant medications. The platform streamlines patient recruitment and data collection, addressing the inefficiencies in clinical trial processes that delay drug availability.

RareCan operates a clinical trial matching platform specifically for patients with rare and less common cancers, utilizing proprietary algorithms to analyze patient data against over 600 active trials in the UK. This service addresses the challenge of limited treatment options for rare cancer patients by providing tailored trial recommendations and expert support throughout the enrollment process.

Stemnovate develops multi-organ modeling platforms for drug discovery, utilizing in vitro cell culture and digital karyotyping to assess drug metabolism and toxicity. The company addresses the need for safer clinical trials and improved patient outcomes, particularly for rare diseases in children.

This startup develops medical information applications that facilitate access to clinical trial data by organizing and categorizing information on patient recruitment centers and hospitals. By providing direct contact details, the platform enhances physician efficiency in matching patients to clinical trials, reducing delays in trial participation.