MuscleView 2.0
FDA-cleared AI-powered MRI muscle segmentation and analysis platform
Company profile
Company profile
Springbok Analytics is a medical imaging technology company that specializes in AI-powered muscle health quantification using MRI data. The company's FDA-cleared MuscleView 2.0™ platform transforms standard MRI scans into detailed 3D visualizations and comprehensive muscle-level analytics, measuring over 100 individual muscles across the legs, core, back, chest, shoulders, and arms. Springbok provides objective, validated metrics including muscle volume, fat infiltration, symmetry, and structural balance at the individual muscle level—far beyond traditional body composition estimates. The platform serves three primary markets: research and clinical trials, where it accelerates drug development and provides validated imaging endpoints; elite sports and performance, where it tracks athlete-specific muscle data to guide return-to-play decisions and optimize training; and longevity and preventive health, where it enables personalized health strategies through objective muscle health tracking over time. The company's technology processes MRI scans within 24 hours and delivers detailed reports within 2-3 days through an interactive web-based viewer. Founded by Dr. Silvia Blemker as Chief Scientific Officer, Springbok's AI-driven approach provides reproducible, site-agnostic analysis that minimizes manual variability. The platform supports lower extremity scans (under 15 minutes) and full-body scans (under one hour) using standard, widely available MRI sequences. With comprehensive musculoskeletal databases for population benchmarking and compliance with FDA, GDPR, ISO, and SOC 2 standards, Springbok delivers the precision, speed, and regulatory confidence required for large-scale research, clinical trials, and performance optimization.
Company description Springbok official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Hybrid deployment with recorded integration context.
Company milestones
FDA 510(k) clearance received for MuscleView 2.0™. First technology to accurately quantify over 100 individual muscles. Participation in major industry events including NFL Hamstring Injury Summit, NBA Combine, CMT Clinical Trial Readiness Summit, International Research Congress on FSHD, Obesity Week, and RSNA.
Partnerships
No partners are currently listed.
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
FDA-cleared AI-powered MRI muscle segmentation and analysis platform
Targeted MRI analysis of core musculature
Comprehensive MRI muscle analysis across entire body in under an hour
Fast MRI-based muscle analysis for legs in under 15 minutes
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
Medicine and science in sports and exercise · Aug 28, 2026
MRI-Based Volumetric Analysis of the Quadriceps Muscles Correlation With Knee Extension Strength in Patients Undergoing Anterior Cruciate Ligament Reconstruction.The American journal of sports medicine · Jun 29, 2026
Quantitative whole-body MRI in FSHD: assessing systemic involvement and future directions.Neuromuscular disorders : NMD · May 22, 2026
Electrical impedance myography captures features of muscle structure measured by MRI and transcriptomic analysis in facioscapulohumeral muscular dystrophy.Journal of neuromuscular diseases · May 1, 2026
Lower-Body Muscle Volumes Can Explain Half of the Variance in Sprint Speed Between Collegiate American Football Players.Scandinavian journal of medicine & science in sports · Apr 1, 2026
Big bones mean big muscles: an MRI-based dataset of muscle-bone-body size relationships across 70 human muscles of the upper limb, trunk, and lower limb.Journal of applied physiology (Bethesda, Md. : 1985) · Jan 1, 2026
Clinical validation
No linked records are currently available.
Regulatory
K251682 · 510k · Sep 9, 2025
MuscleViewK241331 · 510k · Oct 1, 2024
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Over 100 individual muscles across legs, core, back, chest, shoulders, and arms
Pixel-level precision for muscle quality assessment
Structural balance assessment and asymmetry detection
24 hours for AI processing, 2-3 days for complete results
Lower extremity scans under 15 minutes, full-body scans under one hour
Uncovering muscle imbalance causing chronic back pain
Identified specific muscle imbalances underlying chronic back pain condition
Targeted muscle recovery following injury
Guided targeted rehabilitation and return-to-play decisions for collegiate soccer player
Predicting athletic performance using muscle volume analysis
Successfully predicted performance outcomes in Division 1 basketball players using muscle volume data
Targeted ACL rehabilitation and return-to-play monitoring
Quantified residual muscle imbalances following second ACL injury to inform rehabilitation strategy
Phase 1 clinical trial for EPI-321 first-in-class therapeutic in muscular dystrophy
Automated muscle analysis provided detailed view of therapeutic impact on muscle tissue, strengthening early signal assessment
Multi-site pediatric FSHD clinical study with MRI biomarkers
Shorter exam duration improved patient tolerability while comprehensive muscle analytics enabled personalized progression models
Clinical trial outcomes assessment for anti-aging therapy
Enhanced accuracy and acuity of outcomes in understanding how muscle and body changes with IMMUNA therapy over time
Measuring muscle imbalance in military amputee
Quantified muscle asymmetry and imbalances to guide rehabilitation protocols
Identifying hidden muscle imbalances in elite running back
Detected previously unidentified muscle imbalances that informed targeted training interventions
Training optimization for Olympic athlete
Used detailed muscle data to optimize training protocols for Olympic water polo player
Longitudinal muscle analysis for professional athlete monitoring
Tracked muscle changes over time in professional soccer player to optimize performance and recovery
05 · Leadership
Leadership profiles and professional links from the current Company record.
Scott Magargee
CEO and Co-Founder
Silvia Blemker
Co-Founder and Chief Scientific Officer
06 · Company updates
Recent articles published on Springbok's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
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