Making malnutrition measurable.
NutriSight is building the first AI platform that detects malnutrition from multimodal clinical data — combining medical imaging, patient information, and clinical signals to enable earlier and more accurate nutritional care.
Malnutrition is massively underdiagnosed
Despite its significant impact on patient outcomes and healthcare costs, malnutrition remains one of the most underdiagnosed conditions in hospitals.
Millions of hospitalized patients suffer from malnutrition
Detection is inconsistent and subjective
Nutritional assessment is time consuming
Lack of objective tools delays intervention
of hospitalized patients are malnourished at admission
higher mortality rate in malnourished patients
additional healthcare costs due to malnutrition in the US
A new infrastructure for nutritional intelligence
NutriSight is building a multimodal AI platform that combines multiple data sources to create automated and objective nutritional risk detection.
Medical Imaging
CT scans, MRIs, and other diagnostic imaging
Patient Demographics
Age, gender, medical history
BMI & Body Metrics
Weight, height, body composition
Clinical Records
Electronic health records and notes
Nutrition Questionnaires
Self-reported dietary assessments
Biological Markers
Laboratory values and biomarkers
NutriSight AI Engine
Automated, objective nutritional risk assessment
Starting with medical imaging
Our first product focuses on CT scans, which are widely performed in hospitals and contain valuable but underused body composition information. NutriSight automatically extracts actionable nutritional insights from existing imaging data.
Automated Muscle Segmentation
AI-powered analysis that automatically identifies and measures muscle tissue from CT images.
Opportunistic Screening
Extract valuable nutritional insights from existing CT scans performed for other clinical purposes.
CT Scan Input
Existing diagnostic imaging
AI Processing
Automated segmentation & analysis
Risk Assessment
Objective nutritional insights
Why now
A convergence of technological advancement and healthcare evolution has created the perfect moment for AI-powered nutritional assessment.
Explosion of medical imaging data
Healthcare systems are generating unprecedented volumes of imaging data, creating opportunities for AI-driven analysis.
Breakthroughs in medical AI
Recent advances in deep learning and computer vision have made accurate automated image analysis possible.
Increasing awareness of sarcopenia and malnutrition
The medical community is recognizing the critical impact of nutritional status on patient outcomes.
Shift toward preventive and value-based care
Healthcare is moving from reactive treatment to proactive prevention, emphasizing early intervention.
Standardizing nutritional assessment
Creating consistent, objective criteria for evaluating nutritional status across healthcare settings.
Detecting risk earlier
Identifying patients at nutritional risk before symptoms manifest, enabling proactive intervention.
Supporting clinicians with objective tools
Empowering healthcare providers with data-driven insights to make better nutritional care decisions.
Improving outcomes at scale
Transforming population health through systematic nutritional screening and early intervention.
Toward precision nutrition
Our long-term vision extends beyond diagnosis. We're building the foundation for a new era of precision nutrition — where every patient receives personalized nutritional care based on objective, comprehensive assessment of their unique needs.
By combining multimodal data with advanced AI, NutriSight aims to transform how healthcare systems approach nutritional care, from reactive treatment to proactive prevention.
Join us in redefining nutritional care
We're looking for partners, investors, and early adopters who share our vision of making malnutrition measurable and preventable.