Top 50 Clinical Trial Platform - Series B

Pi Health provides an AI-native clinical trial platform that unifies fragmented systems into a single intelligent source of truth. This platform integrates AI validation and operational workflows across EDC, CTMS, and eTMF functions to eliminate manual reconciliation. The result is faster study startup, reduced queries, and quicker database lock for clinical development.

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.

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.

The startup develops clinical data software that utilizes artificial intelligence and natural language processing to extract relevant clinical data points and create unified patient graphs from fragmented medical documents. This technology enables healthcare professionals to efficiently identify and match eligible patients to clinical trials, enhancing recruitment processes and improving trial outcomes.

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.

N Power Medicine develops and commercializes novel therapeutics targeting neurological and psychiatric disorders. The company focuses on small molecule drug candidates designed to modulate specific receptor pathways implicated in disease pathology. Their pipeline aims to offer improved efficacy and tolerability profiles for patients with unmet medical needs.

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.

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.

Mural Health provides an integrated platform for clinical trial participant management, streamlining operations for sponsors and sites. The platform facilitates participant engagement through flexible payment options, integrated travel coordination, and direct communication tools. This results in improved participant retention, streamlined administrative tasks, and access to real-time analytics for better trial outcomes.

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.

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.

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.

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.

Hawthorne Health operates a nationwide network of community-based sites and offers home visit solutions to bring clinical trials closer to patients. This model aims to accelerate patient enrollment, improve retention, and enhance protocol compliance across diverse therapeutic areas. The company leverages experienced investigators and technology to execute studies and generate high-quality data for sponsors.

Medrio provides a cloud‑based, no‑code platform that integrates electronic data capture, randomization and trial supply management, ePRO and eConsent into a single validated solution. The system enables sponsors and CROs to configure and launch studies in weeks, apply mid‑study amendments without downtime, and maintain real‑time, audit‑ready data across sites. Built‑in ISO 9001, GDPR and 21 CFR Part 11 compliance and 24/7 support help reduce operational costs and accelerate trial timelines.

Topography Health provides a research platform that integrates cutting-edge technology with tailored staffing services to enhance clinical trials. The company supports community physicians and investigators to scale research, improving speed, quality, and diversity in trial participation. This patient-centered, community-based infrastructure increases patient access to novel therapies within their trusted provider network.

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.

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.

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.

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.

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.

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.

Science 37 operates an FDA‑inspected direct‑to‑patient clinical trial site that enables sponsors to conduct all study visits, assessments, and data capture in participants’ homes through a network of certified research nurses. The platform integrates with sponsor eCRF systems, provides real‑time source‑verified data, and expands recruitment nationwide to improve patient diversity and accelerate enrollment timelines. It supports therapeutic‑area agnostic protocols while maintaining GCP compliance and remote monitoring.

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.

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.

This startup develops AI-powered digital twins of patients to simulate drug effects and optimize clinical trials. Their platform uses machine learning to identify effective treatments for specific diseases, accelerating drug discovery and development.

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.

Quris offers a Bio-AI Clinical Prediction Platform that utilizes machine learning trained on miniaturized Patients-on-a-Chip to predict the safety of drug candidates in humans. This approach aims to reduce the high failure rate of clinical trials, which currently sees 89% of drugs not making it to market, thereby lowering development 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.

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.

XaiRec provides a platform for building and deploying explainable AI recommendation systems. It focuses on transparency by offering tools to understand model predictions and feature importance in real-time. This allows businesses to deploy trustworthy, auditable personalization engines across various customer touchpoints.

Medeloop provides an AI-powered platform designed to streamline life sciences and healthcare research workflows. The platform utilizes specialized AI agents to automate tasks across study management, complex data analytics without coding, and grant proposal generation. This accelerates the research lifecycle, enabling faster hypothesis testing and funding acquisition for researchers.

H1 offers an AI‑driven platform that consolidates global provider, site, patient, and health‑plan data into a searchable, continuously updated repository. The system ranks and matches physicians, sites, and patient cohorts to clinical trial, medical affairs, commercial, and network‑management use cases, delivering real‑time intelligence via web portals and APIs. This enables pharma, biotech, health‑plan operators, and digital‑health apps to streamline targeting, improve data accuracy, and accelerate decision‑making.

Humaneva provides clinical research data and insights to the medical community, enabling evidence-based decision-making and advancements in healthcare. They focus on delivering reliable data to support medical research and development.

Rune Labs develops a software platform that integrates with neuromodulation therapies to collect and analyze real-world data from patients with neurodegenerative diseases, particularly Parkinson's. This technology enables clinicians to access personalized patient data and supports life sciences companies in expediting therapy development through enhanced clinical trial processes.

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.

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.

Healthcare organizations often work with fragmented, incomplete, or outdated provider and patient data, which hampers efficient site selection for clinical trials, slows patient recruitment, and limits precise HCP engagement for medical affairs and commercial activities. Health plans also struggle with inaccurate provider directories, leading to network inefficiencies and suboptimal patient access. H1 delivers an integrated platform that combines software applications and curated data feeds to provide a single source of truth for clinicians, researchers, commercial teams, and payers.

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.

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.

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.

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.

Intelligencia utilizes machine learning algorithms to provide accurate probability of success assessments for drug development, enabling pharmaceutical companies to identify and quantify risks across various therapeutic areas. By offering transparent AI-driven insights, the platform enhances decision-making and optimizes clinical trial design, ultimately increasing the likelihood of successful drug approvals.

Tasso supplies FDA‑cleared, at‑home blood collection devices that obtain 200‑600 µL of capillary whole blood or dried‑blood spots via a painless, vacuum‑driven lancet, compatible with standard microtainer tubes or proprietary cartridges. The company also provides an end‑to‑end logistics and data platform (Tasso Connect) with prepaid shipping, remote proctoring, and a secure API/dashboard for real‑time sample tracking and integration with laboratory or EHR systems, supporting decentralized clinical trials and remote monitoring.

Happy Ring develops a wearable medical device that utilizes proprietary biometric sensors and generative AI to continuously monitor brain and body biomarkers, providing real-time health insights. This technology enhances patient outcomes by delivering accurate, clinical-grade data for remote patient monitoring and clinical trials, reducing recruitment times and improving treatment precision.

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.

The startup provides genomic medicine delivery by connecting individuals and healthcare providers with genetic experts for personalized genetic assessments and clinical action plans. This approach enables patients to make informed treatment decisions while facilitating faster disease diagnosis for medical practitioners at reduced costs.

The startup offers a cloud-based research data management platform that automates workflows for biomedical research, enabling collaborative studies and machine learning applications. This platform enhances data scalability and analysis, facilitating multicenter clinical trials and accelerating the pace of scientific discoveries.