Autonomous Biomechanics. Built for surgical R&D.
A single unified software platform transforming standard 2D X-rays into patient-specific 3D digital twins, 552-muscle musculoskeletal dynamics, and non-linear finite element simulations in minutes.
Automated 2D-to-3D Reconstruction
Machine learning landmark detection maps 17 vertebrae with 136 anatomical corner landmarks from standard X-rays to reconstruct millimeter-accurate 3D spinal geometries.
Musculoskeletal Dynamics
Solves 552 individual muscle actuators and kinematic force vectors during upright standing, flexion, and complex occupational lifting tasks to calculate physiological loading.
Finite Element Stress
Automatically meshes hexahedral solid volumes and performs non-linear contact analysis across instrumented pedicle screws, rods, and adjacent intervertebral discs.
Autonomous Agentic Orchestration
Natural language prompt interpretation, zero-shot Python calculation authoring, and intelligent solver dispatch across cloud or on-premise compute clusters.
X-Ray In. A simulated plan out.
A cohesive staged surgical pipeline where every intermediate parameter is surgeon-editable. Co-piloted by the graphical planner and autonomous multi-physics Spine Agent.
Read the X-Ray: AI finds 17 vertebrae with 8 editable corners each
From raw X-ray to full spinopelvic sagittal parameters in under 2 seconds.
- Automated identification of 17 vertebrae from T1 down to L5, detecting 8 anatomical corners per vertebra.
- Full spinopelvic parameter calculation: Pelvic Incidence (PI 38.4°), Pelvic Tilt (PT 14.4°), Sacral Slope (SS 24.0°), Lumbar Lordosis (LL 41.7°), and Thoracic Kyphosis (TK 36.5°).
- Automated GAP (Global Alignment and Proportion) score calculation (5/13) and SVA global balance (-38 mm).
- Clinician override enabled: every corner can be dragged and fine-tuned by hand with real-time recalculation.
Transparent Validation. Honest platform verification.
We hold computational surgical models to the highest standard of verification, cadaver validation, and transparent limitations.
Finite Element Verification & Validation
Subjected to analytical benchmark equilibrium tests (beam bending, linear elasticity, contact mechanics) and 85 cadaver kinematic benchmarks.
Musculoskeletal Simulation Engine
Powered by the Anderson Lab musculoskeletal model. Correlated against in vivo telemetry sensors (Wilke et al.) with 552 calibrated muscle lines.
Capabilities & Roadmap
Full transparency on clinical readiness: automated X-ray analysis and static simulation work today; 3D true patient geometry in beta.
Compare Candidate Constructs. Finite element & musculoskeletal verification.
Side-by-side verification of fused motion rigidity, titanium rod fatigue safety margins, and adjacent segment stress across the three simulated plans.
| Clinical Metric | Plan A (L4–S1 Rods) | Plan B (L3–S1 Rods) | Plan C (L3–S1 + Cages) ★ |
|---|---|---|---|
| Fused Segment Motion Drop | -93.4% | -97.8% | -99.6% (Solid Fusion) |
| Rod Peak von Mises Stress | 66.2 MPa | 58.4 MPa | 34.1 MPa (-42% stress) |
| Yield Safety Margin | 13.6× yield | 15.4× yield | 26.4× yield (Optimal) |
| Adjacent Level L2–L3 Load | 648 N (+8% overload) | 582 N (-3%) | 574 N (-4.3% relief) |
| Neurospine ML PJK Risk | 18.2% (Moderate) | 11.5% (Low) | 9.8% (Lowest) |
| Status & Recommendation | High Notch Risk | Standard Care | Biomechanically Preferred |
Schedule a Clinical Review. Direct technical demo.
Book directly with the founding scientists or submit your institution's specific surgical simulation requirements.
Farshid Ghezelbash, PhD
Biomechanics & Modeling ReviewDiscuss finite element mesh morphing, cadaver kinematics validation, and musculoskeletal model calibrations.
Amir Hossein Eskandari, PhD
Clinical Imaging & STP ScrewsEvaluate machine learning landmark detection on your center's X-rays and cortical bone breach safety algorithms.
Dianze Liu
AI Architecture & Foundry IntegrationExplore agent zero-shot parameter sweeps, custom Python solver automation, and Medtronic POC workflows.
General Clinical Inquiries
Custom pilot datasets & device integrations