Top 50 Clinical Trial Platform - Seed

Macro Trials is a precision research clinical platform that utilizes a digitally powered infrastructure and a hub-and-spoke distributed model to enhance the efficiency of clinical trials for high-value therapeutics. The platform addresses the challenges of patient recruitment and administrative burdens for clinicians, enabling diverse candidate access and streamlined participation in groundbreaking research.

Verisian offers a platform for clinical trial analysis that replaces manual double programming with Full Study Traceability. It accelerates submissions and approvals by mapping dependencies between specifications, code, and data, while AI co-pilots assist with code generation and documentation.

Yonalink provides an AI-powered platform that streams clinical trial data in real time from electronic health records (EHRs) to electronic data capture (EDC) systems, significantly reducing manual data entry and associated errors. This solution enhances data quality and operational efficiency for clinical trial sponsors, contract research organizations (CROs), and hospitals by automating data transfer and management processes.

Trial Library develops a technology-enabled platform that enhances patient recruitment and diversity in oncology clinical trials through community provider engagement and personalized navigation services. By addressing the lack of equitable representation in cancer research, the platform facilitates access to precision medicine for underrepresented patient populations, improving enrollment rates and health outcomes.

SiteRx provides a platform that uses AI-driven patient identification tools to improve diversity and efficiency in clinical trial recruitment. By lowering barriers to participation, it addresses the underrepresentation of diverse communities in clinical research, ensuring more equitable access to trial opportunities. The SOC2-compliant platform maintains HIPAA compliance and employs advanced data security measures to protect sensitive information.

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.

Ryght AI provides a generative AI platform designed for biopharma that automates clinical trial protocol writing and site feasibility assessments. This technology reduces operational delays and enhances the efficiency of trial processes, enabling faster patient enrollment and quicker time-to-market for new treatments.

This startup provides an AI-driven platform that automates data standardization and error detection for clinical trials. It offers features like one-click SDTM conversion, intelligent error detection with real-time suggestions, and automatic queries to ensure data consistency and integrity for clinical practitioners and drug developers.

Virb is a platform that provides a scalable solution for the clinical trial industry by sourcing and training entry-level professionals through experiential learning methods, including AI and simulation. This addresses the critical shortage of qualified clinical research personnel, which is estimated to be 65,000 resources globally, thereby facilitating faster drug development and reducing operational costs for pharmaceutical companies.

Provides a cloud-based platform, Archer, that automates the transfer of patient data from electronic health records (EHR) to electronic data capture (EDC) systems for clinical trials. By eliminating manual data transcription and source data verification, Archer reduces data transfer time by 96.5% during live oncology studies, ensuring fast, secure, and regulatory-compliant data collection.

QuantHealth offers an AI-driven platform that simulates patient responses to therapies, optimizing drug development. By integrating multi-modal data, the platform provides predictive insights for clinical trial design, asset valuation, and portfolio management.

Biogenesis is developing a clinical trial ecosystem that connects sponsors, contract research organizations (CROs), and research sites to streamline trial management and enhance collaboration. By providing tools for efficient site operations, contract negotiation, and trial tracking, Biogenesis aims to reduce the time and cost associated with drug development, which currently exceeds $2 billion and takes about 10 years.

Auxilius offers clinical trial financial management software specifically designed for biopharma, enabling teams to manage study budgets, forecasts, and accruals with data-driven insights. The platform replaces traditional spreadsheet methods, enhancing financial accuracy and compliance while streamlining the financial close process for clinical research.

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.

Atreo.io provides a rapid Randomization and Trial Supply Management (RTSM) solution that can be customized and launched within 1-2 weeks, enhancing the efficiency of clinical trial supply chains. Their platform features extensive testing coverage and seamless integrations, enabling supply professionals to manage inventory effectively across multiple studies.

Rivia provides an AI-driven data integration engine that standardizes and consolidates clinical trial data from various sources into a relational database within 20 days, enabling real-time access and analysis. This technology addresses inefficiencies in biopharma clinical trials caused by fragmented data, enhancing decision-making and operational predictability.

The startup operates a network of clinical trial sites with embedded research centers specializing in allergy, dermatology, endocrinology, orthopedics, and ophthalmology. It focuses on large-volume recruitment of diverse and underserved patient populations, enabling clinical researchers to develop reliable therapies more efficiently.

Ambit offers technology-enabled solutions for rare and specialty biopharmaceutical companies to identify and activate patients for clinical trials and commercial therapies. Their platform leverages data analytics and industry expertise to streamline patient journeys and improve treatment access.

Resync is a Provider Activation Platform that automates patient identification by leveraging electronic health record (EHR) data to pre-screen eligible participants for clinical trials. This technology reduces the burden on trial sites and providers, minimizing screening failures and improving enrollment accuracy.

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.

People Science is a technology-enabled clinical research platform that utilizes data collection tools to conduct rigorous studies on alternative medicines and wellness interventions. The platform empowers consumers to explore personalized health solutions while providing companies with reliable scientific evidence to enhance their product development.

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.

Rymedi offers a blockchain-enabled healthcare data management platform that facilitates secure storage and interoperability of patient and population health data for diagnostic testing, clinical trials, and laboratory integrations. The platform eliminates manual processes, ensuring compliance with global regulations while enhancing data access and operational efficiency for life sciences organizations.

The startup operates a national network of community practices that facilitates industry-sponsored clinical research, enabling physicians and patients to participate directly at their point of care. This approach accelerates the timeline for clinical trials and enhances patient health outcomes by integrating research into everyday medical settings.

Embleema provides an end-to-end data platform that integrates clinical, real-world, and molecular data to generate regulatory-grade evidence for personalized medicine. This technology accelerates participant recruitment and data collection, enabling faster FDA approvals and reducing costs for rare disease research.

Groves offers an AI-powered participant recruitment management (PRM) system that enhances clinical trial efficiency by automating participant screening, scheduling, and follow-up communications. This technology significantly increases enrollment rates and reduces recruitment costs for clinical research organizations by ensuring high-quality participant matches and real-time engagement.

Provides a fully automated, GLP-compliant bioanalysis platform that accelerates clinical assay development, validation, and sample analysis. By integrating high-throughput automation and data-driven processes, it delivers faster turnaround times and improved accuracy for in vivo and clinical studies, reducing delays in drug development.

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.

Radicle Science utilizes crowdsourced, virtual, direct-to-consumer clinical trials to generate rigorous, double-blind, placebo-controlled data on the efficacy of health and wellness products across diverse populations. This approach provides manufacturers with validated health claims and insights into consumer demographics, enabling them to optimize formulations and enhance market trust.

Altis utilizes AI models trained on the world's largest cancer imaging database to predict drug efficacy from CT scans, enhancing the accuracy of patient outcome forecasts. This technology accelerates clinical trial processes for biopharma companies by providing actionable insights into imaging data.

EmVenio Research establishes decentralized clinical trial sites in underserved communities, utilizing community engagement and data analytics to enhance patient recruitment and retention. This approach addresses the lack of access to clinical trials for diverse populations, improving enrollment rates and ensuring that underrepresented groups are included in medical research.

TruLite Health offers the Truity™ platform, which utilizes clinically integrated workflow tools and a proprietary clinical knowledge base to provide personalized, actionable clinical insights at the point of care. The platform addresses systemic health disparities by equipping healthcare providers with data-driven interventions tailored to diverse populations, thereby improving patient outcomes and fostering trust in healthcare systems.

Modality.AI, Inc. has developed an automated, clinically validated multimodal system that utilizes conversational AI to monitor neurological and psychiatric conditions through speech and facial response analysis. This technology enables researchers and clinicians to collect accurate data and assess treatment responses in real-time, enhancing the efficiency of clinical trials and reducing costs.

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.

This company facilitates biomedical research by directly engaging patients and collecting annotated biospecimens in their homes. Their platform provides researchers with access to clinically relevant biomarker data and apheresis products for prospective study designs.

Century Health utilizes an AI-powered platform to integrate and analyze de-identified real-world clinical data, enabling researchers and life sciences organizations to access actionable insights in minutes. This approach addresses the challenge of fragmented data silos, accelerating drug development and improving treatment outcomes for patients.

The startup provides clinical trial staffing services that streamline resource management for research teams by recruiting qualified personnel from the life sciences sector. This enables clients to efficiently plan and execute clinical trials, ensuring they have the necessary talent to meet their research objectives.

BioPhy utilizes a patent-pending predictive AI engine, BioLogic, and a generative AI solution, BioPhyRx, to enhance the efficiency of drug identification, development, and testing. The company aims to reduce clinical trial failure rates and accelerate drug development timelines, ultimately improving healthcare outcomes globally.

The startup offers an AI-powered platform that provides market and clinical intelligence to enhance medical product development. By delivering actionable analytics, the platform improves product quality, reduces regulatory approval times, and minimizes recall risks, enabling companies to ensure consumer safety.

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.

Concr provides predictive modeling solutions using advanced computational methods derived from astrophysics to accurately forecast individual and cohort responses to cancer therapies. This technology enhances the design of clinical trials and improves the probability of success for novel cancer treatments, particularly in early-stage trials and rare cancers.

Oncoshot utilizes a federated AI data system to connect cancer patients, caregivers, and oncologists with clinical trials worldwide, enhancing patient access to treatment options. The platform addresses challenges in trial feasibility and enrollment, improving the likelihood of successful study outcomes for healthcare providers and pharmaceutical partners.