About
nference is an enterprise-grade agentic AI platform designed to unlock the full potential of real-world clinical data for healthcare research and precision medicine. By connecting to a federated AI network of long-term partnerships with major healthcare centers, nference provides researchers with access to an unparalleled breadth of structured and unstructured patient data: over 10 billion radiology images (PET, CT, MRI, X-Ray, Ultrasound), 20 million+ digitized whole slide pathology images, 12 million+ ECG waveforms, 100 million+ echocardiogram videos, 1.4 billion+ clinical EHR notes, and 30,000+ unique clinical biomarkers. The platform offers AI-powered tools for designing patient cohorts, exploring patient journeys, annotating data for model development, and running advanced data science workloads. Curated data dictionaries span critical therapeutic areas including cardiology, oncology, immunology, rare diseases, neurology, infectious diseases, and nephrology. nference also powers venture-backed spinouts such as Anumana (ECG AI diagnostics) and Pramana (digital pathology), demonstrating the platform's depth in translational science. It is purpose-built for clinical researchers, pharmaceutical companies, health technology developers, and academic medical centers seeking to generate real-world evidence, accelerate drug development, and personalize patient care pathways at scale.
Key Features
- Massive Multimodal Clinical Dataset: Access 10B+ radiology images, 20M+ pathology slides, 12M+ ECG waveforms, 100M+ echo videos, 1.4B+ EHR clinical notes, and 30,000+ biomarkers — all research-ready and linked to patient records.
- Patient Cohort Design & Journey Exploration: Build and analyze highly specific patient cohorts and trace longitudinal clinical journeys to uncover treatment patterns, outcomes, and real-world evidence.
- Multimodal AI Agents: Deploy agentic AI models that reason across diverse clinical modalities — imaging, genomics, waveforms, and text — to generate insights and personalize care pathways.
- Therapeutic Area Data Dictionaries: Leverage curated, clinician-validated data dictionaries for cardiology, oncology, immunology, rare diseases, neurology, infectious diseases, and nephrology research.
- Federated AI Network: Connect securely to a federated network of leading healthcare institutions, enabling privacy-preserving AI model training and real-world data collaboration at scale.
Use Cases
- Designing and validating patient cohorts for clinical trials using real-world EHR and imaging data across specific disease populations.
- Generating real-world evidence (RWE) for regulatory submissions by analyzing longitudinal patient journeys and treatment outcomes.
- Accelerating drug discovery and development by identifying novel biomarkers and disease patterns in billions of multimodal clinical data points.
- Training and validating AI diagnostic models using annotated radiology images, pathology slides, and ECG waveforms linked to clinical outcomes.
- Powering precision medicine initiatives by personalizing care pathways through AI agents that synthesize patient-specific multimodal clinical data.
Pros
- Unrivaled Clinical Data Breadth: With billions of multimodal data points spanning imaging, genomics, EHRs, and waveforms, nference offers one of the richest research-ready clinical datasets available anywhere.
- Covers All Major Therapeutic Areas: Pre-built data dictionaries and curated cohorts across cardiology, oncology, rare diseases, and more mean researchers can get started quickly without extensive data curation.
- Trusted Healthcare Partnerships: Long-term partnerships with established healthcare centers provide validated, high-quality real-world data that meets rigorous clinical and regulatory standards.
- Translational Science Track Record: nference has demonstrated real-world impact through spinout ventures (Anumana, Pramana) and peer-reviewed publications across multiple disease areas.
Cons
- Enterprise Complexity: The platform is primarily designed for large healthcare institutions and pharmaceutical companies, which may make it less accessible or practical for independent or small-scale researchers.
- Limited Pricing Transparency: Specific pricing tiers and data access costs are not publicly listed, requiring a demo or direct inquiry to understand the full cost of access.
- Steep Learning Curve: The depth and breadth of available data modalities and AI tooling may require significant onboarding time for teams new to real-world evidence platforms.
Frequently Asked Questions
What types of clinical data does nference provide access to?
nference provides access to over 10 billion radiology images (PET, CT, MRI, X-Ray, Ultrasound), 20 million+ digitized pathology slides, 12 million+ ECG waveforms, 100 million+ echocardiogram videos, 1.4 billion+ EHR clinical notes, and 30,000+ unique clinical biomarkers extracted from unstructured data.
Which therapeutic areas does nference support?
nference supports research across cardiology, oncology, immunology, rare diseases, neurology, infectious diseases, and nephrology, with curated data dictionaries and clinical specialist guidance for each area.
How does nference protect patient data privacy?
nference uses a federated AI network architecture that allows AI models to be trained and applied within partner healthcare institution environments without centralizing raw patient data, preserving privacy and regulatory compliance.
Who is nference designed for?
nference is built for clinical researchers, pharmaceutical and biotech companies, academic medical centers, and health technology developers who need access to large-scale, multimodal real-world clinical data to power drug discovery, precision medicine, and real-world evidence generation.
Is there a free trial available?
Yes, nference offers a free trial. You can sign up on their website to get started and explore the platform's capabilities before committing to a paid plan.
