SpineIQ is building AI-powered tools that help surgeons plan complex spine procedures with greater precision, consistency, and confidence.
Our platform processes medical imaging data through a multi-stage AI pipeline, producing surgeon-ready outputs for pre-operative planning.
Multi-class deep learning segmentation across MR, CT, and X-ray modalities. Vertebrae, discs, neural structures, and surgical anatomy identified automatically.
Automated spinopelvic parameter computation with clinical classification. Normative comparison and correction targets derived from patient imaging.
Comprehensive pre-operative reports combining imaging analysis, alignment correction targets, and implant specifications delivered securely.
Our platform is designed by a practicing spine surgeon who understands the clinical workflow and the decisions that matter in the operating room.
Deep learning across MRI, CT, and X-ray. Not limited to a single imaging type.
Human-in-the-loop training with board-certified surgeon oversight at every stage.
Designed for FDA and CE Mark from day one. Not retrofitted for compliance.
HIPAA-compliant architecture with end-to-end audit logging and de-identification.
A surgeon submits imaging and clinical context. The platform returns a complete pre-operative plan within minutes.
Submit de-identified MRI, CT, and/or standing scoliosis X-rays via secure portal.
Multi-class AI identifies vertebrae, discs, neural elements, and surgical anatomy in 3D.
Compute spinopelvic alignment, correction targets, and implant specifications automatically.
Register cross-modal data and repose to the patient's standing alignment for surgical planning.
Surgeon receives a PDF report, 3D visualization, and optional robotic navigation export.
SpineIQ is designed to integrate with the systems surgeons and hospitals already use.
Export surgical plans directly to robotic platforms including Mazor X Stealth, Globus Excelsius GPS, ROSA Spine, and Brainlab navigation systems.
Push results to Epic, Cerner, MEDITECH, and other health system EMRs via HL7 FHIR. DICOM-format segmentation overlays route directly to institutional PACS.
When MRI and standing X-ray are both submitted, the platform performs 2D-3D pose harmonization so the surgeon sees the 3D anatomy in the surgical standing position.
Existing surgical planning tools treat the spine as a series of disconnected measurements. We're building a platform that understands the spine as a biomechanical system and gives surgeons the intelligence they need before they enter the OR.
SpineIQ is currently in private beta with select spine surgery practices.
Per-Case
Pay as you go
Ideal for individual surgeons and small practices.
Institutional
Enterprise license
For hospitals and multi-surgeon practices.
Interested in SpineIQ? Whether you're a surgeon, investor, or potential partner, we'd like to hear from you.