Top 50 Clinical Trial Platform - Seed

The startup offers a real-time data quality platform for clinical trials that integrates data from multiple sources to provide a unified view. It automates the identification of data deviations and trends, enabling clinical research organizations to quickly recognize data quality issues and enhance trial efficiency.

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.

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.

This company provides a Proof-as-a-Service model for generating large-scale, diverse clinical trial data for wellness products. They utilize adaptive trial formats and integrated biomarkers to deliver precision health insights rapidly. This evidence supports stronger product claims, optimized formulations, and improved consumer targeting.

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.

Macro Trials provides sponsors and CROs with a network of high-performing, research-experienced clinical sites specializing in ophthalmology, dermatology, and pulmonology. The company utilizes a centralized hub and spoke model to rapidly activate sites, maintain protocol discipline, and ensure reliable enrollment in diverse communities. This turnkey operation manages all site infrastructure, allowing clinicians to focus on patient care while delivering consistent, high-quality data for Phase 2 and beyond studies.

Yunu develops a clinical trial imaging platform that integrates medical imaging data and enhances communication between radiologists and oncologists, facilitating collaboration among study teams, sponsors, and clinical resources. This technology addresses the high error rates in clinical trial imaging, improving data accuracy and accelerating the time-to-market for new therapies.

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.

Ryght AI provides a generative AI platform utilizing "AI Site Twins," which are digital replicas of global clinical research sites. This technology enables sponsors and CROs to rapidly identify, select, and activate optimal sites based on protocol analysis. The platform continuously optimizes site performance throughout the trial lifecycle to accelerate patient enrollment.

The startup has developed a digitized clinical development platform that streamlines the clinical trial process by managing complex metadata challenges in the biopharma industry. This platform minimizes deployment risks and system downtime, enhancing the quality of medical research and accelerating the delivery of new therapies to patients.

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.

Rivia provides a unified data platform that ingests, harmonizes, and structures fragmented clinical trialdata from any source into trial-specific models. Its AI agents continuously monitor data quality, detect issues, and automate resolution workflows, while a conversational interface enables real-time visual analytics and patient-level insights. This integrated intelligence layer supports biopharma teams in making faster, data-driven decisions throughout trial operations.

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.

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.

The startup operates a clinical research healthcare company that provides approved treatments and disease detection services while conducting clinical trials. By facilitating access to professional medical care, it addresses the need for inclusive healthcare solutions for patients facing harmful diseases.

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.

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.

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.

Alleviate Health provides an AI‑driven platform that automates SMS and voice‑AI outreach to pre‑screen and qualify clinical trial participants, while allowing recruiters to intervene as needed. The system leverages a library of over 150,000 condition‑specific conversation snippets and delivers responses within ten seconds, boosting enrollment rates for research sites, CROs, and sponsor teams. All interactions are managed in a HIPAA‑compliant environment with analytics dashboards and API integration for CTMS and EHR systems.

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.

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.

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.

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.

QuantHealth provides next-generation clinical AI for drug-patient simulations to guide clinical development decisions. The platform integrates biomedical, clinical, and epidemiological data into a unified framework for deep analysis. This enables optimization across clinical development, business development, and portfolio management use cases.

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.

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.

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.

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.

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.

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.

Crescendo Health enables clinical study participants to securely aggregate and contribute their complete health history to medical research. The platform prioritizes data security and patient privacy, ensuring individuals maintain control over their personal health records. This aggregated data provides researchers with a comprehensive view of patient journeys necessary for developing new treatments.

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.

Amaros AI offers the AmarosEngine, a cloud‑native platform that aggregates ophthalmic EMR notes, imaging biomarkers, genomic data, and payer claims into a unified, queryable knowledge base. Its AI/ML models generate patient‑level risk scores, treatment response predictions, and real‑time trial eligibility matches, delivering insights via configurable dashboards and export tools for clinicians, CROs, and commercial teams.

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.

Dr.Evidence offers an AI‑powered platform that aggregates over 100 million regulatory, labeling, clinical trial, and scientific literature documents for biopharma teams. Its specialized machine‑learning and natural‑language models automate document search, extraction, and comparison, enabling faster regulatory submissions and strategic decision‑making. The solution also ensures zero IP leakage and enterprise‑grade security, delivering measurable ROI by reducing manual effort.

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.

AppliedXL provides early signal detection for the finance and life sciences sectors by continuously monitoring clinical trials and corporate disclosures. The platform flags material inflection points and deviations in real-time, transforming raw activity into structured foresight. This intelligence allows asset managers and decision-makers to gain conviction and adjust strategies before events become public news.

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.

The startup develops clinical finance software that integrates real-time clinical trial data with third-party vendor inputs to enhance financial accuracy in clinical programs. This technology enables organizations to optimize cash flow management and improve forecasting efficiency, reducing operational time and extending financial runway.

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.

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.

Novai develops early detection and intervention methods for eye and brain diseases using proprietary DARC technology. This platform provides clinicians with faster data for appropriate treatment selection and supports pharmaceutical companies in ophthalmic drug development. The technology aims to prevent severe vision loss and disability through advanced diagnostic capabilities.

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.

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.

Grove AI develops AI agents, such as Grace, for clinical trial operations to support participants and sites 24/7. This platform integrates across clinical trial workflows to manage participant relationships, automate scheduling, and handle inquiries in multiple languages. The service aims to accelerate recruitment, reduce site burden, and improve screening pass rates for pharmaceutical sponsors, CROs, and site networks.

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.

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.