TrialMind
TrialMind is a clinical research AI platform for pharmaceutical and biotechnology companies, contract research organizations, and academic medical centers. Its agents support trial design, statistical programming, real-world evidence, cohort analysis, literature review, clinical-trial landscape research, and clinical operations. Workflows include site selection, patient-to-trial matching, eligibility refinement, enrollment and dropout forecasts, and data and medical monitoring. Teams can describe tasks in natural language, review analysis plans, and inspect results with linked sources, methods, and code. TrialMind is offered as hosted software, private cloud, or deployment in a customer's environment. Raw patient records are not moved out of the customer's environment during matching. API and Model Context Protocol access support embedding its tools in other platforms.
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eReconciliation
With eAdjudication® software managed service, trial leaders have control of timelines, the flexibility to adapt to changing conditions and outcomes, and the ability to monitor trends in provider performance and protocol conformity over the duration of long trials. Avoid hidden costs and timeline breaches in your Endpoint Adjudication Study with the innovative, all-inclusive, managed software service. The eAdjudication® Managed Software Service is the most efficient way for Endpoint Adjudication (CEC) Management. Working with the eAdjudication® platform and Ethical's Staff, study teams, committee members and clinical organizations interact effectively online in real-time in an user-friendly, and GxP-compliant environment, avoiding time-consuming, costly and error-prone manual processes. eAdjudication® all-inclusive services streamline the integration and adoption of EA software throughout eClinical organizations.
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TrialKit
TrialKit is a unified eClinical platform for sponsors, CROs, and research institutions, combining EDC, ePRO/eCOA, eSource, eConsent, RTSM, eTMF, medical coding, imaging, and more in one environment.
Floyd, TrialKit's AI model, works directly within the platform to support protocol interpretation, study building, validation, simulation, and analysis. It can generate eCRFs, visit schedules, edit checks, and workflows, while synthetic participants help teams test study configurations. Researchers retain control over reviewing and refining study designs.
Web and native mobile apps support data collection across traditional, hybrid, and decentralized studies. Open REST APIs enable integration with external systems, while audit trails and role-based access support study oversight. TrialKit also offers predictable monthly platform pricing without incremental change-order fees for routine study modifications.
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ShareCRF
Create, in a few hours, an eCRF that is as easy to use as a paper one, and avoid the biggest headaches in data collection in Pre-authorisation and Post-authorisation studies of your medical device. Incorporate an EDC that is highly flexible when creating the eCRF, this will allow you to meet the needs of any kind of study. Save tons of time in the management and monitoring of the study with the management and monitoring tools included in the EDC. Use a validated system with all the security guarantees that give trust to the sponsor and allow the collection of quality data. Don’t wait until the analysis phase to discover mistakes in the data or you will end up chasing down investigators to correct them. Prevent the process of creation of an eCRF from being long and complex.
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