Discover 20 Real World Evidence Startups to Watch (2025)

Real-world evidence has been gaining traction as a valuable tool for healthcare organizations to make informed clinical decisions and improve patient outcomes. One of the key developments in RWE is the adoption of advanced analytics and machine learning for data processing. These innovative approaches enable better data collection and analysis, allowing healthcare organizations to gain valuable insights into patient care.

Regulatory decisions and policy-making are also informed by real-world evidence. The increased availability of RWE sources, such as electronic health records (EMRs) and wearable devices, continues to increase the potential for innovation in this area. Moreover, RWE drives the development of personalized medicine. By analyzing real-world data, healthcare providers gain insights into the effectiveness of treatments and interventions for different patient subgroups. Dive into our curated list of 20 real world evidence startups to watch in 2025!

This article was last updated in July 2024.

20 Real World Evidence (RWE) Startups to Watch in 2025

• Arcturis – Real-world Evidence & Healthcare Insights
• Cornerstone AI – Real World Data (RWD) Cleaning
• Albert Labs – RWE Psychedelic Therapy
• Evidium – Healthcare Referenced Generative AI System
• Telemonica – Real World Data Collection
• Labfront – Wearable RWD
• EvidentIQ – Real World Patient Evidence
• Gimli – NLP-based Personalized Oncology
• CuriMeta – RWD Infrastructure & Analytics
• NextSense – Brain-sensing Earbuds
• Aceso RWE – Health Data Research Network
• 3Aware – Post-Market Clinical Follow-Up (PMCF)
• Health Compiler – RWE-driven Health Analytics
• OmicsChart – Precision Oncology Datasets
• syndena – Personalized Care
• AllRe – EMR Data Management
• ImagineIfHealth – RWE as a Service
• Atropos Health – Evidence-based Medicine
• Wemedoo – Medical Informatics
• Comsentimento – Real-World Oncology Data

Global Startup Heat Map highlights 20 Real World Evidence Startups to Watch

Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 3 790 000+ startups & scaleups globally, we identified 326 real world evidence startups. The Global Startup Heat Map below highlights the 20 real world evidence startups you should watch in 2025 as well as the geo-distribution of all real world evidence startups & scaleups we analyzed for this research.

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Based on the heat map, we see high startup activity in the USA and the UK, followed by the rest of Western Europe. These real-world evidence startups work on solutions ranging from healthcare research data networks to health analytics and electronic medical record (EMR) data to evidence-based medicine.

As the world’s largest resource for data on emerging companies, the SaaS platform enables you to identify relevant technologies and industry trends quickly & exhaustively. Based on the data from the platform, the Top 5 Real-World Evidence Startup Hubs are in New York City, London, San Francisco, Boston & Berlin. The 20 hand-picked startups highlighted in this report are chosen from all over the world and develop solutions for improved medical data access, real-world data as a service, medical informatics, and real-time data surveillance.

Explore 20 Real World Evidence Startups to Watch (2025)

Arcturis delivers Real-world Evidence & Healthcare Insights

UK-based startup Arcturis harnesses real-world data to enhance medical research and patient outcomes. Its platform integrates real-world data with advanced analytics, targeting both common and rare diseases. This way, it generates real-world evidence and healthcare insights.

Additionally, the startup employs conventional and innovative real-world evidence techniques. It encompasses medical statistics, machine learning, and data science methodologies. This approach delivers insights into patient characterization, treatment effectiveness, and real-world clinical outcomes.

Cornerstone AI enables Real World Data (RWD) Cleaning

USA-based startup Cornerstone AI develops a data cleaning platform. This platform uses machine learning models to create data-cleaning rules automatically. It cleans real-world data and tackles common data problems such as errors, inconsistencies, and missing values. This significantly cuts down the time spent on data preparation.

The features of the startup’s platform include automated data profiling, error identification and correction, data standardization, and augmentation. Cornerstone AI prioritizes data integrity by complying with HIPAA, providing a complete audit trail, and offering flexible data hosting options.

Albert Labs provides RWE Psychedelic Therapy

Albert Labs, a UK-based startup develops natural pharmaceuticals. It focuses on the production of KRN-101, a mycelium-derived psilocybin used for mental health treatments. This psilocybin therapy represents a significant departure from traditional antidepressants. It merges the pharmacological effects of psilocybin, a psychoactive substance, with psychological support.

This approach has shown results in treating treatment-resistant depression, anxiety, drug addiction, and more, as evidenced by leading academics. Albert Labs is undertaking a comprehensive, large-scale clinical development program for KRN-101 therapy.

Evidium merges Healthcare Referenced & Generative AI System

USA-based startup Evidium deploys real-time medical knowledge through a data-centric platform that merges referenced AI and generative AI. It offers solutions such as Fusion Platform, Clinical Copilot, Nova LLM, and APIs that serve clinicians, health systems, researchers, and pharma. Clinical Copilot is a referenced AI assistant that integrates into the clinical workflow, providing a direct line of sight to knowledge. Fusion, a knowledge AI platform, scales medical, administrative, and pre-clinical knowledge across various use cases.

Further, nova super indexing semantically maps data to AI-ready knowledge, enabling multi-level, natural language exploration of clinical data combined with computational medical intelligence language. Kai-1 is a generalizable knowledge-grounded AI interface for healthcare, providing access to referenced AI infrastructure via an API. These startup tools deliver high-value care, workflow assistance, knowledge-based analytics, and referenced AI infrastructure for clinical and administrative applications.

Telemonica streamlines Real World Data Collection

French startup Telemonica centralizes patient medical data through a platform designed for routine care activities and research. The platform collects real-world data and manages patient pathways, simplifying healthcare workflows. It offers features such as Electronic Case Report Forms (eCRF) catering to healthcare professionals, while Electronic Patient Reported Outcomes (ePRO) capture patient-reported outcomes. Remote patient monitoring systems are also part of the platform’s offerings. Further, it offers patient cohort management, observational studies, and patient satisfaction survey features. Telemonica’s innovative tools and services focus on enhancing healthcare service efficiency and the quality of patient care.

Labfront captures Wearable RWD

Labfront, a USA-based startup, provides an integrated platform for collecting real-world data in research. It focuses on physiological data from wearables, survey responses, and task adherence records. A wide range of granular sensor data from wearables, including sleep staging, movement tracking, blood glucose, oxygen saturation, and interbeat interval, is accessible.

The platform offers comprehensive tools for high-resolution data aggregation, detailed analytics, and secure data management, adhering to HIPAA and GDPR standards. Labfront’s solutions streamline research processes, enhance data accuracy, and manage participants, serving diverse research fields like psychology and sports science.

EvidentIQ generates Real-World Patient Evidence

German startup EvidentIQ develops PatientLive, a tool that surveys an extensive online community of patients and caregivers. The community spans the USA and Europe, covering various conditions and providing real-time insights. PatientLive polls generate key insights for stakeholders ranging from clinical operations to commercial, medical, or market access teams.

EvidentIQ emphasizes patient-centricity, engaging online patient communities to further medical research. Additionally, it oversees Carenity, a social platform supporting a vast network of patients and caregivers dealing with numerous chronic and rare diseases.

Gimli leverages NLP-based Personalized Oncology

Gimli, a French startup, streamlines real-world data, transforming it into real-world evidence. Specializing in Natural Language Processing (NLP) for oncology, it enhances cancer care through advanced data analysis. The startup’s platform processes and interprets a vast amount of oncology-related data, thereby improving medical research and patient care. Gimli leveraging NLP to extract meaningful insights from complex medical texts. This assists in making better decisions and formulating personalized treatment strategies in oncology.

CuriMeta offers RWD Infrastructure & Analytics

CuriMeta, a USA-based startup, develops an advanced real world data platform affiliated with health systems. This platform transforms, curates, and exchanges health data while ensuring privacy. The exchange of real-world health data accelerates at a remarkable pace, benefiting biopharmaceutical and life science research.

The startup’s platform transforms, anonymizes, and aggregates real-world health data from leading health systems and academic medical centers. This process aids in overcoming pressing scientific and clinical challenges, thereby improving patient care and saving lives.

NextSense makes Brain-sensing Earbuds

USA-based startup NextSense develops brain-sensing earbuds for sleep enhancement and mental focus. The startup’s system, designed for comfort and functionality, is suitable for both day and night use. It employs sleep science and neurotechnology advancements.

The startup’s technology tracks sleep passively and uses real-time neural dynamics to create audio experiences. These experiences further enhance sleep quality. NextSense improves sleep and cognitive performance, contributing to long-term brain health. In essence, the startup uses real-world data and practical science-based guidance to promote brain health.

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Aceso RWE builds a Health Data Research Network

Aceso RWE is a Turkish startup that provides a proprietary health data research network. The startup’s disease-specific data models are built compliant to preserve patient privacy. Hospitals that need to access this data first require to organize and restructure their data. The startup’s data engine, which is installable on-premise or on the cloud, then matches the internal data lake of hospitals with ongoing studies open for data collection. This anonymized patient data, along with machine learning and predictive analytics, enable data-driven decision-making in clinical research and improve patient outcomes.

3Aware simplifies Post-Market Clinical Follow-Up

3Aware is a US-based startup that simplifies PMCF for medical device manufacturers. The startup’s platform, aiSurveillance, allows medtech manufacturers to access real-world data and independently to analyze patients, encounters, and devices. This facilitates PMCF reporting and enables them to feasibly fulfill post-approval studies, advancing post-market surveillance. Moreover, patient-level and device-specific evidence allows medical device manufacturers to ensure the safety and effectiveness of medical products.

Health Compiler provides RWE-driven Health Analytics

Health Compiler is a US-based startup that delivers RWE-driven health analytics. The startup’s application programming interface (API) integrates with health wearables and care systems like electronic health records (EHRs) and revenue cycle management (RCM). Its health analytics solution provides a master patient index that combines administrative, financial, clinical, and wearable data for accurate analytics. Further, it offers access to patient demographics data based on patient consent and improves clinical point-of-care decisions. The startup’s solution thus simplifies access to health plan data, advances digital health services, and improves the patient experience.

OmicsChart delivers Precision Oncology Datasets

OmicsChart is a German startup that provides precision oncology datasets for clinical research. The startup’s precision oncology data marketplace and biomarker discovery platform, Preon, allows researchers to find specific data and perform analysis effectively. It aids the exploration of clinical information, such as diagnosis, treatments, and outcomes, as well as genomic, transcriptomic, and complex molecular biomarkers.

The startup’s other web-based platform, IO, further integrates multiple sources of molecular and clinical data and compares findings to public and proprietary datasets. OmicsChart’s platform allows researchers to explore mutation and expression data, estimate infiltration by immune cells in solid tumors, and correlate the data.

syndena enables Personalized Care

Austrian startup syndena provides personalized care using RWD and electronics patient-reported outcomes. The startup’s clinical registries enable data-driven outcomes with longitudinal RWD to generate RWE for scientific research and evidence-based medicine. syndena also leverages real-world evidence and electronic patient-reported outcome measurements (ePROMs) to advance digital symptom monitoring. This improves overall patient survival rates and quality of life. Consequently, the startup’s solution helps scientists and research institutions to gain regulatory approval, understand treatment safety or value, and enable personalized care.

AllRe aids EMR Data Management

AllRe is a South Korean startup that facilitates EMR data management. The startup’s solution leverages EMR data to enable high-level clinical research while simplifying medical data inquiry and extraction. It also features tools for visualization and statistical analysis, enhancing research efficiency. AllRe also converts the EMR data into a general-purpose database to simplify data analysis. Its universal database benefits hospitals in providing data on all diseases while the specialized database allows enterprises to advance research on specific diseases.

ImagineIfHealth provides RWE as a Service

ImagineIfHealth is an Australian startup that provides real-world evidence as a service. The startup’s medicines access program (MAP) management platform allows pharma companies to integrate The Gibbs Labs RWD from Walter and Elize Hall Institute of Medical Research. The platform then triggers pharma company emails for doctor participation at the right time of treatment to input required patient information.

This cost-effective oncology and hematology data allows researchers to describe real-world clinical and tumor characteristics of patients. Additionally, the platform allows them to determine progression-free survival and overall survival rates as well as the natural disease trajectory post disease progression.

Atropos Health enables Evidence-based Medicine

Atropos Health is a US-based startup that advances evidence-based medicine. The startup utilizes anonymized patient records to provide an evidence network. It functions as a marketplace for the generation and exchange of clinical insights. Using the startup’s solution, members are able to submit clinical questions and receive answers as reports across one or many ranked datasets within 48 hours. This cloud-based data sharing allows healthcare organizations to get actionable insights from their EHR data and clinicians to access patient insights on demand. It also enables researchers to accelerate studies and data holders to share their data securely.

Wemedoo advances Medical Informatics

Wemedoo is a Swiss startup that offers real-world data for medical informatics solutions. The startup’s validated RWD connects treatment data to patient outcomes as well as provides direct patient access for a broad and diverse population. It also delivers custom genetic analysis, general OMICS, and interpretation of medical imaging. This accessibility to machine-readable medical data allows healthcare institutions to better understand patients and treatment performance. The startup also accelerates drug development, ensures timely medical interventions, improves safety assessments, and expands coverage of rare health conditions.

Comsentimento offers Real-World Oncology Data

Comsentimento is a Brazilian startup that maintains a real-world oncology data platform. It collates clinical data from hospitals and clinics using an open-source standard. Using this data, the platform extracts relevant data from EMRs and diagnostic reports using natural language processing (NLP). This provides pharma companies with accurate data and results obtained for different lines of treatment. The startup also improves patient engagement with prospective follow-up and education to improve enrolment. This eliminates silos associated with clinical data and advances medical research for breast, lung, and colon cancers.

Discover All Emerging Healthcare Startups

The healthcare startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Healthcare Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2025!