The rapid evolution of orthopedic technology is no longer being driven by devices alone. Instead, the transformation is happening inside the software layers that power diagnostics, planning, and surgical execution. Increasingly, companies are shifting from hardware-centric design to architectures built around AI inference, cloud pipelines, and real-time visualization.
This year, an example of that shift comes from the collaboration between ProVoyance™ and intive. While the partnership is important, what stands out for the tech industry is the underlying technological blueprint they’re deploying: AI-supported imaging, regulatory-grade software engineering, device-embedded intelligence, and 3D environments capable of dynamically reconstructing patient anatomy.
The rise of AI-Native imaging workflows
Traditional orthopedic workflows depend heavily on manual segmentation, multi-system data transfers, and fragmented planning tools. AI is changing that by introducing:
- Automated image interpretation
- Pre-operative predictive modeling
- Continuous processing loops that refine measurements as new data arrives
- Algorithmic support for implant sizing and alignment
These systems run on SaMD frameworks that require rigorous regulatory tracking, which is where intive’s engineering infrastructure becomes crucial. With more than 2,000 specialists working on regulated digital environments, the company has experience building the “invisible plumbing” that allows AI to operate safely inside clinical settings.
Claudio González, CTO & EVP at intive, breaks it down simply: “We’re bridging the gap between traditional medical device manufacturing and healthcare’s digital future.”
That “future” increasingly looks like AI embedded across every stage of the surgical pipeline.
Another major shift is the growing use of advanced visualization. Instead of relying on static models, next-generation systems generate interactive, high-density 3D reconstructions that surgeons can manipulate to simulate movement, stress, and trajectory.
When combined with AI-driven predictive tools, these visual platforms are enabling precision levels that were previously impossible.
ProVoyance™ integrates these visual engines with AI-powered device enhancements, allowing manufacturers to extend intelligence beyond the software layer and directly into the hardware surgeons use.
Connecting Technology to Real-World Clinical Value
Matt Miller, Head of Technology Development at ProVoyance™, emphasizes that the objective isn’t novelty—it’s efficiency. “This partnership uniquely positions us to transform clinical processes and create new opportunities. The resulting solutions enable healthcare providers to optimize time, reduce costs, and most importantly, improve patient outcomes.”
As demand for orthopedic devices climbs—an industry valued at $60–63 billion in 2024 and projected to exceed $80 billion by 2032—AI-native workflows may become the defining infrastructure for future surgical care.
For the tech community, the real story isn’t just the partnership—it’s the emerging architecture that could reshape the orthopedic stack for the next decade.
