Smart Blood Test AI Solutions
Praedica is a AI Platform that runs your blood test through a recurrent neural network, comparing it to 100M+ structured, diagnostically-validated tests from real patients — and returns a clear, actionable risk profile across 14 disease groups.
Purpose-built data model
100M+ structured lab tests linked to real ICD-10 diagnoses. Not a chatbot. Not a wrapper. A neural network trained for one job: predicting disease risk.
Clinically validated
0.93 AUC, 95% agreement from 785 specialist-reviewed cases in the lab pilot. Numbers competitors don’t publish.
Compounding data moat
Started in 2014, 1M+ patients deep. Every new partner deepens the dataset. Late entrants can’t catch up easily
Disease risk, not wellness scores
Competitors optimize lifestyle scores. We surface real, actionable disease risk — the metric that triggers real medical follow-up.
Discover Our Innovative Solutions
Delve into the advanced AI-driven capabilities that set Praedica apart in transforming medical diagnostics and patient care globally.
Intelligent Imaging Analysis
Harness cutting-edge AI to deliver precise, automated medical image interpretation with unmatched accuracy.
Predictive Health Insights
Utilize comprehensive data modeling to forecast patient outcomes and enhance preventative healthcare.
Real-time Clinical Decision Support
Empower healthcare professionals with instant AI-powered recommendations for informed treatment strategies.
What Our Clients Say
Discover how our cutting-edge AI solutions have transformed healthcare experiences for our valued partners around the world.
Praedica’s expertise in medical AI has revolutionized our diagnostic processes, delivering unmatched accuracy and efficiency.
Dr. Alex Morgan
Chief Medical Officer
The team’s commitment to innovation and precision has significantly enhanced our patient care capabilities.
Dr. Emily Chen
Healthcare Technology Director
Working with Praedica has been a game-changer, elevating our research through their advanced AI tools.
Dr. Liam Patel
Clinical Research Lead