Top 50 Clinical Trial Platform - Series B

Lokavant provides a data-driven analytics platform that aggregates and integrates real-time data from various clinical trial sources. This technology enhances trial execution by enabling proactive management, operational health tracking, and risk-based monitoring, ultimately improving study efficiency and decision-making.

Power Life Science is a platform that connects patients with over 30,000 active clinical trials, allowing them to filter options based on specific medical conditions, locations, and drug types. This service addresses the challenge of limited access to experimental treatments by streamlining the search process and facilitating direct connections with researchers.

Curebase provides decentralized clinical research software that enables efficient data collection through electronic patient-reported outcomes (ePRO) and electronic consent (eConsent) systems. The platform enhances participant engagement and accelerates study launches while ensuring high-quality data capture across diverse clinical trials.

ObvioHealth offers the ObvioGo® 2.0 platform, which utilizes digital tools for real-time data capture and participant engagement in clinical trials. This technology addresses inefficiencies in traditional trial management by providing customizable study designs and enhancing data accuracy, resulting in faster recruitment and improved compliance.

Topography Health provides a research platform that enables community physicians to conduct clinical trials, enhancing patient access to novel therapies while generating additional revenue for practices. By integrating tailored staffing services and advanced technology, the platform improves the quality, speed, and diversity of clinical research.

The startup offers a remote patient research platform that integrates validated studies and connects with wearables and medical devices, facilitating seamless data transfer into existing systems. This technology enables biopharma and home health professionals to efficiently design and scale clinical research programs while ensuring compliance with data requirements.

ObjectiveHealth operates a data analytics and machine learning platform that enhances clinical decision-making by extracting actionable insights from real-world evidence. The platform targets inefficiencies in healthcare delivery, aiming to improve patient outcomes through informed treatment strategies.

Pi Health offers the Front-end Interoperable Capture System (FICS), a software platform that integrates disparate applications to streamline data collection for clinical trials. This technology enhances site-sponsor connectivity, reduces operational inefficiencies, and accelerates patient access to innovative medicines and cancer care.

Lindus Health operates as an anti-CRO, utilizing a proprietary software platform and access to 30 million Electronic Health Records to execute end-to-end clinical trials with fixed pricing and milestone-based payments. By streamlining study design, patient recruitment, and data management, Lindus delivers trials up to three times faster than traditional CROs, ensuring timely access to new treatments for patients.

Inato has developed a global clinical trial marketplace that connects pharmaceutical sponsors with community-based research sites, enhancing patient access to clinical trials. By streamlining site selection and enrollment processes, Inato addresses the limited participation opportunities for diverse patient populations, ultimately accelerating the pace of medical research.

The startup operates a clinical trial data platform that integrates licensed healthcare professionals with connected technology to facilitate decentralized clinical trials. This approach enhances trial accessibility and efficiency, allowing patients to consult with doctors and enabling continuous patient monitoring outside traditional clinical settings.

The startup is developing a Clinical Digital Twin Platform that creates virtual replicas of patients using real-time health data and advanced modeling techniques. This platform enables healthcare providers to personalize treatment plans and improve patient outcomes by simulating various clinical scenarios.

HealthMatch is a platform that connects patients with eligible clinical trials for new drugs and treatments by simplifying the search process and assessing trial eligibility. This service addresses the challenge of finding appropriate clinical studies, enabling patients to access potential therapies that may not be widely available.

Florence Healthcare provides a Site Enablement Platform that automates document workflows and participant enrollment for clinical trials, enhancing collaboration among sponsors, CROs, and research sites. By connecting over 20,000 research sites globally, the platform streamlines clinical research processes, reducing operational risks and accelerating trial timelines.

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.

Unlearn.ai develops machine-learning models that create digital twins of clinical trial participants, enabling the use of synthetic patient data to enhance control groups. This technology accelerates clinical trials by allowing smaller study designs while maintaining statistical power, ultimately reducing the time and cost associated with bringing new therapies to market.

Teckro provides a data-driven platform that enhances site engagement in clinical trials through real-time analytics and targeted interventions. By quantifying site performance, Teckro improves recruitment rates and accelerates study timelines, delivering measurable outcomes for pharmaceutical and biotech sponsors.

Mural Health offers Mural Link, a patient management platform that simplifies participation in clinical trials by providing flexible payment options, travel coordination, and real-time communication tools. This technology addresses high dropout rates and inefficient recruitment processes by enhancing participant engagement and streamlining operational workflows for study sponsors.

Lightship utilizes inclusive technology and flexible visit options to enhance patient participation in clinical trials, removing geographic barriers and providing personalized support throughout the research process. This approach addresses the limited access and choice often faced by patients and providers, accelerating the development of new therapies for diverse populations.

Datacubed Health provides a platform for electronic clinical outcomes assessments (eCOA) that enhances patient engagement through a mobile-friendly application designed for clinical trials. By utilizing behavioral science principles, the platform improves data collection accuracy and patient retention, addressing challenges in participant compliance and engagement across traditional, hybrid, and decentralized trial formats.

The startup operates an integrated research organization that embeds clinical trials at the point of care, collaborating with healthcare providers to enhance patient participation and streamline data collection. This approach reduces the drug development timeline, improving access to clinical trials and outcomes for healthcare organizations.

Faro Health provides an AI-enabled platform for designing and implementing clinical trial protocols, streamlining the complexities of protocol development through data-driven insights and reusable content. This technology reduces authoring time and enhances the quality of clinical trials, minimizing patient burden and associated costs.

Slope.io provides Biospecimen360™, a software solution for end-to-end biospecimen lifecycle management that captures sample metadata in real-time and coordinates logistics, processing, and tracking. The platform addresses inventory shortages and compliance issues in clinical trials, enabling faster decision-making and improved data quality for sponsors and research sites.

4G Clinical offers Prancer RTSM®, a software solution for randomization and trial supply management that enhances clinical trial efficiency by allowing for flexible mid-study adjustments and minimizing supply waste. Their 4C Supply® tool helps clinical supply managers predict patient demand and assess supply chain risks, addressing the challenges of stock-outs and waste in increasingly complex trials.

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.

The startup has developed a healthcare technology platform that utilizes virtualized therapy management and adaptive machine learning to enhance the delivery of care by specialists. This platform enables clinicians to effectively interpret clinical evidence and respond to the physiological impacts of diseases and therapies, bridging the gap between medical knowledge and patient experiences.

Zephyr AI utilizes an AI-enabled platform that integrates diverse healthcare and biological data to identify optimal patient-drug matches and enhance clinical trial efficiency. This approach addresses the challenges of patient stratification and drug development costs, ultimately improving patient outcomes through personalized therapies.

The startup operates a preclinical drug investment and development platform that licenses transformational medicines while streamlining the licensing process and expediting patent approvals. This approach reduces the overall cost of drug discovery and accelerates the transition of therapies into clinical trials, facilitating faster access to treatments for patients.

The startup offers a cloud-based data analytics platform that processes and visualizes large omics datasets, including genomics, transcriptomics, and proteomics, to elucidate the molecular mechanisms underlying cellular phenotypes. This technology enhances decision-making in drug research and development, enabling scientists and clinicians to efficiently identify potential treatments for diseases.

This biotechnology company utilizes its expertise in preclinical and clinical pharmacology, biostatistics, and regulatory affairs to expedite drug development for various diseases. By streamlining the process, it enables healthcare professionals to access essential therapies that meet significant medical needs.

Beaconcure offers Verify, an automated solution utilizing machine learning and natural language processing for the validation of clinical trial statistical outputs. This technology enhances data accuracy and accelerates regulatory approval processes, enabling faster market entry for new drugs and vaccines.

N-Power Medicine embeds an always-on clinical research system into community oncology workflows via EHR integration, standardizing real-time data capture in the Kaleido Registry. This enables the creation of prospective external control cohorts for biopharma sponsors while accelerating patient enrollment and reducing documentation burden for physicians.

Beacon utilizes an EEG neurobiomarker platform powered by machine learning to enhance clinical trial efficiency and optimize treatment strategies for neurological and psychiatric disorders. By providing quantitative assessments of brain activity, the platform enables precise dose selection and patient stratification, improving the likelihood of successful treatment outcomes.

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.

VeriSIM Life utilizes an AI-driven computational bioplatform to predict clinical outcomes of drug candidates by integrating chemical and biological modeling with machine learning techniques. This approach addresses the inefficiencies and inaccuracies in drug development, enabling pharmaceutical companies to allocate resources more effectively and increase the likelihood of clinical success.

The startup offers an AI-enabled life sciences research and development platform that manages controlled-access multimodal data at an enterprise scale. This platform enhances data analysis and automates workflows, enabling researchers to conduct high-impact studies and collaborations with reduced resource requirements.

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.

Medeloop utilizes deep AI model explainability techniques and a robust data linkage infrastructure to streamline clinical research by harmonizing and analyzing extensive health data. The platform enables researchers to generate hypotheses and publish findings more efficiently, ultimately accelerating the discovery of biomarkers for understudied diseases.

Atropos Health develops a cloud-based Evidence Platform that converts electronic medical record data into high-quality Real-World Evidence, enabling healthcare organizations to make data-driven clinical decisions. This platform addresses the issue of insufficient evidence backing medical decisions, significantly reducing the time and resources required to generate actionable insights for patient care and research.

CytoReason develops a cell-centered computational model that analyzes biological data to map disease mechanisms and treatment effects. This technology enables pharmaceutical companies to prioritize drug development and make data-driven decisions by providing insights into drug performance across diverse patient populations.

Turbine's Simulated Cell™ platform utilizes AI to predict biological responses by simulating experiments across various models, including engineered cell lines and patient samples. This technology accelerates drug development by generating actionable insights in half the time of traditional methods, enabling researchers to identify optimal experimental pathways for novel cancer therapies.

Lifebit CloudOS is a federated genomics platform that enables secure access and analysis of distributed clinical and multi-omic data without moving it from its original location. This technology addresses the challenge of fragmented health data, facilitating collaborative research and accelerating insights in precision medicine and drug discovery.

This biotech startup utilizes a computational discovery engine to develop next-generation immunology nanobodies, enabling the creation of therapeutics with differentiated profiles at scale. By automating clinical trials, the company significantly reduces trial costs and enhances efficiency in drug development.

Vineti is a cloud-based platform that facilitates the distribution of cell and gene therapies by managing patient access and treatment logistics. The platform addresses the challenge of ensuring timely delivery and availability of these therapies to patients in need, improving treatment outcomes.

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.

Quotient Therapeutics utilizes a Somatic Genomics platform to unlock the therapeutic potential of the vast genetic diversity within human cells, enabling the discovery of novel drug candidates. This approach addresses the limitations of traditional genomics by providing insights that lead to targeted treatments for a range of diseases.

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.

THB is a healthcare data-technology platform that utilizes big data analytics to generate real-world clinical evidence and enhance patient care through a 360-degree Care Engine. By processing over 1 billion clinical parameters, THB enables healthcare enterprises to deliver hyper-personalized treatment recommendations and improve decision-making for over 20 million patients.

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.

This biotechnology startup utilizes a proprietary bio platform that integrates evolutionary biology, human molecular data, and artificial intelligence to identify drug-like molecules. The company focuses on developing small-molecule drug candidates to address serious unmet medical needs in health and disease.