We build production-grade artificial intelligence for healthcare — from radiology diagnostics and medical scribing to clinical NLP and patient data protection — so clinicians can focus on what only humans can do.
Trusted across
Specialized AI solutions designed for each layer of your clinical environment — from imaging and documentation to data privacy and research.
An end-to-end intelligent pipeline that augments the full diagnostic imaging workflow — from the moment an image is acquired to the moment a validated report is signed. Our modules work together or independently within your existing infrastructure.
Physicians speak — our AI listens, understands, and produces complete clinical documentation in real time. From a natural conversation with the patient, the system generates structured, clinically-ready documents without the physician touching a keyboard.
Automatically detect and remove Protected Health Information (PHI) from any clinical record — at scale, with enterprise-grade accuracy. HIPAA and GDPR compliant, deployable in fully offline environments with no data leaving your premises.
Extract structured intelligence from unstructured clinical text. Our NLP systems understand medical language at a depth that general-purpose AI cannot — enabling hospitals and health systems to turn their text data into actionable clinical knowledge.
Accelerate drug development and clinical research with AI that processes medical literature, trial data, and patient records at scale — securely, compliantly, and at the speed research demands.
Each module solves a specific clinical bottleneck. Together they form a unified intelligence layer across your entire institution.
Instantly classifies medical images as normal or requiring review. Pre-generates standardized reports for normal cases — the radiologist confirms in one click.
Deep learning detects subtle pathologies — fractures, nodules, lesions — and highlights them directly on the image, with auto-generated structured findings.
Transforms your static queue into a dynamic, severity-ranked worklist. Critical cases — hemorrhages, embolisms, pneumothorax — surface to the top automatically with real-time alerts.
Cross-references the physician's written report against its own visual analysis. Flags discrepancies before signature — a zero-cost double-read on every single case.
Converts the doctor–patient conversation into complete SOAP notes, discharge summaries, and e-prescriptions in real time. No keyboard. No dictation. Just medicine.
Detects and removes PHI from any clinical record — notes, PDFs, structured data, image metadata — at enterprise scale. HIPAA and GDPR compliant, air-gap ready.
Beyond the core suite, these are the next-generation AI tools we're building — each solving a critical clinical challenge with measurable impact on outcomes, efficiency, and cost.
Predicts patient deterioration, readmission risk, and sepsis onset hours before clinical signs appear — giving care teams time to intervene.
AI-powered analysis of pathology slides — detecting cancerous cells, grading tumors, and flagging regions of interest for pathologist review.
Real-time AI screening of prescriptions for dangerous drug interactions, contraindications, and dosing errors before they reach the patient.
Have a specific clinical challenge? We build custom AI MVPs from concept to production.
Discuss Your Project →XeleronAI is a team of AI researchers, clinical informatics engineers, and healthcare domain specialists with a singular focus: building AI that works in real clinical environments, not just in demos.
Our expertise spans the full spectrum of clinical AI — from computer vision for medical imaging to large language models for clinical text, from real-time voice processing to enterprise-scale data pipelines. Every solution we build is validated on real clinical data and designed to integrate seamlessly with existing hospital infrastructure.
We don't ship prototypes. We deploy production systems that handle millions of patient records, comply with the strictest data protection regulations, and can run fully offline in the most sensitive environments.
Academic rigor applied to real clinical problems. Every model is validated on clinical datasets from major institutions before deployment.
Deployed at US academic medical centers, European university hospitals, and global pharmaceutical companies — at scale, in production.
Enterprise access controls, air-gapped deployment support, and regulatory compliance built into every solution from day one.
Modular architecture means you go live in weeks, not years. Start with one module and expand as your confidence grows.
Our team combines clinical domain expertise with state-of-the-art AI engineering across every dimension of healthcare AI.
Computer vision systems that analyze medical images with clinical-grade precision — from classification and detection to segmentation and reporting.
NLP systems trained on clinical corpora that extract meaning from medical text — far beyond what general-purpose language models can achieve.
Medical speech recognition that understands clinical terminology, drug names, and procedure codes — turning doctor–patient conversations into structured documents.
End-to-end patient data protection — automated PHI detection, de-identification, and anonymization across every data format and language.
Machine learning models that analyze patient data to predict outcomes, flag risks, and support clinical decision-making at the point of care.
Seamless integration with your existing hospital infrastructure — EMR, RIS, LIS — with support for cloud, on-premise, and fully air-gapped environments.
We combine the rigor of academic AI research with the pragmatism of production healthcare engineering.
Our researchers have published in peer-reviewed venues and contributed to open clinical NLP frameworks used by healthcare organizations worldwide. We combine deep academic foundations with hands-on experience deploying AI in the most demanding regulated environments.
Work with us →Whether you're a hospital exploring a pilot, a health system ready to scale, or a research institution looking to collaborate — we'd love to talk.