A clinical intelligence platform built for the spine alone.
TwipleSim is not a repurposed general imaging AI. Every model, every workflow, every output is purpose-built for spinal anatomy and clinical decision-making.
Three commitments that shape the product.
Spine-specific AI
Purpose-built models trained on spinal imaging — not generic tools retrofitted for the spine after the fact.
Hardware-agnostic
Designed to work across imaging vendors without lock-in, so it can be deployed in any hospital environment, in any geography.
Sequential intelligence
Diagnostics first, then risk stratification, then biomechanical simulation — a logical clinical escalation, not everything at once.
Three phases to full clinical intelligence.
AI diagnostics
- AI-assisted MRI grading of the spine, disc by disc.
- Structured reporting designed to fit the existing reading workflow.
- Regulatory preparation under way (ISO 13485, CE marking); certification is a planned step.
Clinical intelligence
- Longitudinal data: the same spine, seen years apart, with the clinical evolution in between.
- Longitudinal comparison of the same patient, then trajectory prediction.
- Risk stratification at scale — from episodic to continuous insight.
Digital twin
- Patient-specific biomechanical model of the spine.
- Surgical simulation before the first incision.
- Outcome prediction to support the operative decision.
Layer 1 exists as a prototype. Layer 2 is the core of our current work — because any clinical prediction requires longitudinal proof, and that data exists nowhere. Layer 3 remains ahead. Sequencing is not caution — it is the only path that leads to the digital twin.