The Blueprint: How Movix fills a gap in dental skills with specialized agentic AI

Welcome to The Blueprint, a regular feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work . The demand for dental appliances, like crowns and aligners, is booming, but it's hard for manufacturers to keep up.

At Movix, we're building one of the first agentic AI solutions for dental appliance manufacturers and dental labs to help companies in the sector acquire digital technical expertise so they can scale clinical workflows cost-effectively and consistently. The challenge: Movix started in 2025 with a mission to solve a serious shortage of skilled dental technicians in aligner manufacturing through AI and agentic workflows. The need is significant: the global dental market is valued at nearly $400 billion and growing at double digits , yet many operations remain analog - creating enormous demand for co-pilot, agentic solutions.

Before founding Movix, we had previously started a vertically integrated dental aligner company that focused on very difficult dental situations, such as very crooked teeth. Yet even with highly skilled and trained technicians, there were often mistakes that would require remaking an aligner - a process that costs $300, roughly 25% of the retail price. Poor quality control took a real bite out of the company's margins.

We saw an opportunity with Movix to address these mistakes by providing technicians with AI-powered quality control agents that automate aligner workflows and reduce errors. Optimize security and compliance to comply with medical record regulatory requirements and keep patient data safe. The solution: In order to deliver AI agents that can provide expert-level accuracy, we needed to custom build a lot of the tooling ourselves.

We started by developing our custom models for deep learning, computer vision, and 3D mesh analysis over a five-month period, using Google Cloud infrastructure. This intensive, methodical time helped ensure the right level of accuracy and quality control. We use Google Cloud infrastructure across the full pipeline - from dataset storage and model training to evaluation - to build and refine our defect detection models for intraoral scans.

Once defects are detected, we use Gemini Enterprise Agent Platform to generate client-facing feedback that reads as if it came directly from a human technician - acting as a digital team member in the quality control workflow. Our 3D models use Cloud Run with L4 GPUs for the massive compute power we require; notably, performing the 3D segment scans and detecting defects across the entire fabrication process are highly compute-intensive processes. We use Compute Engine VMs to run experiments, along with various other GPUs to train our models, and perform the heavy lifting of model development in this environment.

Cloud Run and other tools like Cloud Storage support our scalability goals as we target large customers who handle high case volumes - some large labs might produce up to 200,000 appliances per year. Google Cloud's global network of data centers also simplifies regulatory compliance across regions and ensures fast delivery of large 3D datasets to clients worldwide. The architecture: The outcome: Our agentic solutions automate data entry and quality control, which are traditionally manual, time-consuming, and error prone tasks.