Anumana
AI platform decoding the electrocardiogram as a deep predictive tool and biomarker of disease
Company profile
Company profile
nference is a healthcare AI company that serves as the intelligence layer for clinical research, partnering with leading medical centers to unlock the value of real-world data. The company operates a federated AI network that connects healthcare data across institutions while maintaining patient privacy through its 'Data Under Glass' approach, ensuring data remains within health centers' premises. nference's platform processes over 10 billion radiology images, 20 million digitized pathology slides, 12 million ECG waveforms, 100 million echocardiogram videos, and 1.4 billion clinical notes to create the world's most comprehensive research-ready patient dataset. The company's nSights platform leverages agentic AI, neural networks, natural language processing, and large language models to transform unstructured EMR data into curated, computable insights. nference serves both life sciences companies and health systems, enabling regulatory-grade cohort design, patient journey analysis, biomarker discovery, and advanced statistical analytics across therapeutic areas including cardiology, oncology, immunology, rare diseases, neurology, infectious diseases, and nephrology. The company has also launched venture-backed spinouts including Anumana (ECG-based predictive diagnostics) and Pramana (digital pathology solutions). Founded by CEO Murali Aravamudan and Chief Scientific Officer Dr. Venky Soundararajan, nference is headquartered in Cambridge, Massachusetts, with additional offices in Bangalore, Toronto, and Rochester.
Company description nference official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Company milestones
Launched venture spinouts Anumana (ECG-based predictive diagnostics) and Pramana (digital pathology platform). Published research on GLP-1 therapies and lean muscle mass preservation (2025-2026). Recognized as one of the best places to work by Tech Tribune (2020-2023).
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI platform decoding the electrocardiogram as a deep predictive tool and biomarker of disease
Agentic AI platform for clinical research with multimodal agents for cohort definition, data analysis, and biomarker prediction
Large-scale synthesis of text data using validated AI to transform EMR notes into labeled datasets
Rapidly generate regulatory-grade patient cohorts with AI-powered criteria refinement
AI-powered computable anatomy platform that transforms medical images into quantitative metrics
Advanced data science workbench for healthcare research
Health technology enabling seamless digital adoption by pathology labs and medical centers
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
npj metabolic health and disease · Sep 1, 2026
Semaglutide cardiovascular outcomes align more closely with attained dose than achieved weight loss.NPJ cardiovascular health · Jul 10, 2026
Assessing real-world natural history of indolent systemic mastocytosis: A retrospective matched cohort study.The journal of allergy and clinical immunology. Global · Jul 1, 2026
Weight-loss dynamics with tirzepatide versus semaglutide.PNAS nexus · Jun 1, 2026
Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.Pulmonary circulation · Jun 1, 2026
Challenges in Evaluating Clinical Remission in Severe Asthma: Insights from the Mayo Clinic.Advances in therapy · Feb 1, 2026
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Comprehensive multimodal dataset
Linked to patient records
Largest labeled EMR dataset
Extracted from unstructured data
Research acceleration vs weeks
05 · Leadership
Leadership profiles and professional links from the current Company record.
06 · Company updates
Recent articles published on nference's official website.
No Company updates are currently listed.
07 · HAIC coverage
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08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies using AI to optimize clinical trial design, accelerate patient recruitment, match patients to trials, predict trial outcomes, or improve clinical research efficiency. Includes patient enrollment and screening platforms, AI-powered trial matching, and tools that reduce the time and cost of bringing new treatments to market.
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