Top 50 Clinical Trial Platform in Europe

Neuroute is an AI platform that generates tailored clinical trial designs and operational plans for biotech companies and researchers. It provides tools for trial design, competitor analysis, and historical insights to streamline the clinical development process.

Biorce provides Aika, an AI-native platform designed to accelerate the clinical trials lifecycle. This solution unifies protocol design, feasibility assessment, and regulatory planning within a single workspace. The platform uses explainable AI to help clinical teams expedite trial setup, mitigate risks, and achieve faster treatment delivery.

Klineo utilizes AI algorithms to match cancer patients with relevant clinical trials based on their medical profiles. The platform facilitates communication between patients, oncologists, and trial investigators to streamline the enrollment process. This service increases patient access to novel therapies while improving clinical trial recruitment efficiency.

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.

Rivia provides an integrated clinical trial intelligence platform that consolidates disparate data sources to enhance patient response insights and improve data quality. By automating data integration and visualization, Rivia reduces review time by 60%, enabling biotechs and pharma companies to accelerate decision-making and optimize trial management.

OASYS NOW provides an AI-powered platform for clinical trial patient screening by transforming unstructured medical data like EHRs and referral letters into actionable patient cohorts. The service ensures compliance with EU data regulations through certified, privacy-by-design processes, significantly accelerating patient identification timelines. Key offerings include ELaiGIBLE for real-time eligibility screening and De-ID for secure pseudonymization of sensitive health information.

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.

Neuroute utilizes advanced data analytics and machine learning algorithms to enhance the efficiency and transparency of clinical trial processes. The platform addresses the challenges of participant recruitment and retention, ultimately increasing diversity and improving trial outcomes.

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.

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.

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.

Science4Tech utilizes AI-driven predictive models and natural language processing to enhance data reliability and traceability in clinical trials, enabling real-time insights and adaptive study management. The platform addresses inefficiencies in drug development by optimizing patient engagement and minimizing dropout rates through data governance and compliance with regulatory standards.

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.

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.

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.

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.

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.

The startup develops a blockchain-based medical software that captures and manages clinical trial data, ensuring accuracy, reliability, and security for pharmaceutical, biotech, and medical technology applications. This technology enables medical professionals to efficiently handle critical data while maintaining traceability and trust in trial outcomes.

Lexic Health provides an AI-powered platform to improve patient engagement and streamline clinical operations. Their AI Health Companions use personalized voice and text interactions to boost patient adherence, while the AI Data Clerk allows natural language querying of clinical data.

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.

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.

Antidote provides precision recruitment services that connect patients with relevant clinical trials, addressing the significant issue of participant shortages that delay over 80% of medical research. Their smart Match search engine simplifies the trial discovery process for patients, ensuring faster enrollment and more efficient research outcomes.

Theremia develops advanced digital therapeutics designed to treat neurological and psychiatric disorders through personalized, non-invasive neuromodulation. The platform utilizes proprietary algorithms to deliver precise electrical stimulation, optimizing patient outcomes for conditions like depression and chronic pain. This approach offers a scalable, accessible alternative to traditional pharmacological interventions in mental healthcare.

The startup operates a healthcare research and development platform that integrates real-world health and genomic data for observational studies and clinical trials. By providing insights into individual health and genetic ancestry, the platform enhances drug development and health care decision-making.

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.

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.

The startup develops cancer medicines and treatments that expedite the clinical trial process, enabling faster access to therapies for patients. By streamlining drug development, the company increases the availability of effective cancer treatments, addressing the urgent need for timely interventions in oncology.

Ikerian offers a cloud‑native Discovery platform that ingests and standardizes multimodal patient data—including imaging, genomics and EHR records—and applies AI‑driven analytics to extract quantitative biomarkers and generate predictive disease‑outcome models. The system provides configurable dashboards, FHIR‑compatible APIs and automated workflow orchestration to support patient stratification, trial monitoring and evidence‑based decision making for pharma, CROs, hospitals and research institutions. Compliance‑first architecture ensures HIPAA, CE and FDA 510(k) compliance.

Evidose conducts effectiveness testing for supplements, functional foods, and cosmetics using rigorous clinical trial methodologies to ensure product efficacy. The company addresses the lack of reliable data in the market, providing measurable insights that enhance consumer trust and regulatory compliance.

AARDEX Group provides MEMS AS®, a medication adherence software that utilizes over seventy proprietary algorithms to monitor and analyze medication-taking behaviors in clinical trials. This technology addresses the issue of non-adherence, which affects up to 50% of trial participants, by delivering real-time insights that help researchers identify and support individuals who may struggle with their medication regimens.

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.

Deemea offers an AI-driven imaging platform that streamlines the collection, structuring, and interpretation of clinical imaging data, enhancing efficiency and reliability in biomedical research. The platform ensures compliance with regulatory standards while facilitating seamless data integration and analysis across multiple research centers.

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.

StratifAI develops multimodal artificial intelligence models that extract prognostic insights from histology images and clinical data to inform treatment decisions in oncology. Their technology enables the identification of biomarkers and personalized treatment plans, reducing unnecessary chemotherapy and improving patient outcomes.

Clerkenwell Health is a clinical research organization specializing in psychedelic therapies, utilizing a vetted patient database and experienced investigators to enhance access to psychiatric and central nervous system (CNS) trials. The company addresses the need for effective treatment options in psychiatric conditions by streamlining clinical development processes and improving patient recruitment.

TrialBridge provides on‑premise medical large language models that run within a hospital’s firewall, enabling secure extraction of insights from unstructured clinical text without transmitting PHI to external clouds. The platform integrates with EHR systems to support use cases such as automated coding audits, documentation improvement, and research data mining while ensuring HIPAA, GDPR, and SOC2 compliance.

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 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.

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.

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.

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.

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.

Ancora provides an AI-driven platform that matches cancer patients with relevant clinical trials based on their diagnosis, location, and preferences. Users can quickly search, refine results through a brief questionnaire, and track enrollment progress within a secure, HIPAA- and GDPR-compliant dashboard. The service is free, offering personalized trial alerts and the ability to share profiles with trial sites while maintaining strict privacy controls.

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.

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.

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.

Climedo provides an eCOA system for clinical data collection, including EDC, eCRF, ePRO, and eSurveys. Their platform enables flexible, patient-centric data capture that increases compliance and data quality. This digital approach saves time and costs in clinical studies and surveys through automation and remote monitoring capabilities.

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.