Synaptiq’s medical intelligence platform analyses millions of data points in seconds, empowering clinicians to make faster, more accurate diagnostic decisions.
Trusted by leading healthcare institutions
Founded by researchers and clinicians with deep roots in Cambridge’s world-renowned science ecosystem, Synaptiq is on a mission to make world-class diagnostics accessible to every patient.
Our models are trained on over 12 million annotated medical images, validated against datasets from the world’s leading teaching hospitals.
Results delivered in seconds, not days. Our cloud-native infrastructure scales dynamically to meet demand across entire hospital networks.
Regulator approved, GDPR compliant, and healthcare-standards certified. Security and patient privacy are non-negotiable in everything we build.
A comprehensive AI suite purpose-built for the modern healthcare system — from imaging analysis to predictive care.
AI-powered medical imaging analysis for radiology, pathology and dermatology. Our deep learning models detect anomalies with 99.7% accuracy — in under four seconds.
Diagnostic ImagingPredictive analytics that identify at-risk patients before symptoms manifest. Machine learning models trained on millions of longitudinal health records.
Predictive AnalyticsEvidence-based decision support embedded directly into clinical workflows. Real-time AI recommendations at the point of care, integrated with major EHR systems.
Clinical Decision SupportOur proprietary pipeline processes medical data through multiple AI models simultaneously, cross-referencing findings against a knowledge base of over 50 million clinical cases.
“Synaptiq has fundamentally changed how we approach diagnostic imaging. The speed and accuracy of their platform has allowed us to identify conditions we would have previously missed — ultimately saving lives. It’s the most significant leap forward in radiology I’ve seen in 20 years.”
Join the hospitals and research institutions already using Synaptiq to deliver faster, more accurate diagnoses. Let’s talk.