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

Overview

Movix is building one of the first agentic AI solutions for dental appliance manufacturers and dental labs, aimed at the shortage of skilled dental technicians. The company started in 2025 and uses Google Cloud infrastructure to detect defects in intraoral scans and automate quality control. Its goal is to help labs scale clinical workflows and reduce costly errors, such as remaking an aligner. The article is part of Google Cloud's Blueprint feature on customers using its AI and cloud technology.

Key Takeaways

Movix builds agentic AI for dental appliance manufacturers and labs to address a shortage of skilled technicians.
The company uses Google Cloud across the full pipeline, from dataset storage and model training to evaluation.
AI quality control agents detect defects in intraoral scans and generate human-sounding client feedback.
Remaking a single aligner costs $300, roughly 25% of the retail price, which hurt margins at a prior company.
Some large labs may produce up to 200,000 appliances per year, driving the need for scalable tooling.

Stats & Key Facts

#Movix started in 2025
#Global dental market valued at nearly $400 billion
#Remaking an aligner costs $300
#Remake cost is roughly 25% of retail price
#Custom models developed over a five-month period
#Large labs may produce up to 200,000 appliances per year

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

The challenge

Movix targets a skills gap in aligner manufacturing.

›The company started in 2025 to address a serious shortage of skilled dental technicians.
›The global dental market is valued at nearly $400 billion and growing at double digits, yet many operations remain analog.
›At a prior vertically integrated aligner company, mistakes often required remaking an aligner, costing $300 or about 25% of retail price.

Poor quality control reduced the prior company's margins, which is the problem Movix set out to solve with AI-powered quality control agents.

Technical requirements

Movix identified several challenges to solve.

›Develop custom AI models and an end-to-end agentic workflow, since off-the-shelf solutions lacked domain expertise.
›Build scalability into the platform to prevent outages or production delays.
›Achieve broad interoperability through a hybrid integration strategy because many dental practices use legacy systems.
›Optimize security and compliance to meet medical record regulations and protect patient data.

The solution

Movix built much of the tooling in-house on Google Cloud.

›The team developed custom models for deep learning, computer vision, and 3D mesh analysis over a five-month period.
›Google Cloud infrastructure is used across the full pipeline, from dataset storage and model training to evaluation.
›Once defects are detected, the Gemini Enterprise Agent Platform generates client-facing feedback that reads as if written by a human technician.

The defect detection models are built and refined for intraoral scans.

Infrastructure choices

Compute-intensive tasks drove specific infrastructure decisions.

›3D models use Cloud Run with L4 GPUs for the compute power required by 3D segment scans and defect detection.
›Compute Engine VMs run experiments and various GPUs train the models.
›Cloud Run and Cloud Storage support scalability for large customers handling high case volumes.

Google Cloud's global network of data centers helps simplify regulatory compliance across regions and supports fast delivery of large 3D datasets to clients worldwide.

The outcome

The agentic solution automates traditionally manual tasks.

›The solution automates data entry and quality control, which are normally manual, time-consuming, and error prone.
›It automates the work of the best dental technicians to help ensure a top quality product.
›Some large labs might produce up to 200,000 appliances per year, underscoring the scale involved.

Frequently Asked Questions

What does Movix build?

Movix builds agentic AI solutions for dental appliance manufacturers and dental labs to automate quality control and help acquire digital technical expertise.

What problem is Movix addressing?

It addresses a shortage of skilled dental technicians in aligner manufacturing and the cost of mistakes, where remaking an aligner costs $300, roughly 25% of retail price.

Which Google Cloud products does Movix use?

Movix uses the Gemini Enterprise Agent Platform, Cloud Run with L4 GPUs, Compute Engine VMs, and Cloud Storage across its pipeline.

How large is the dental market cited?

The article states the global dental market is valued at nearly $400 billion and growing at double digits.

How does the AI handle defects?

AI agents detect defects in intraoral scans, then the Gemini Enterprise Agent Platform generates client-facing feedback that reads as if it came from a human technician.

Movix uses Google Cloud to bring agentic AI quality control to dental appliance manufacturing at scale.