The outcome:
Our agentic solutions automate data entry and quality control, which are traditionally manual, time-consuming, and error prone tasks. By automating the work of the best dental technicians, we’re ensuring a top quality product that will improve the fit of crowns, aligners, veneers, and implants for many, many patients. We estimate that our automation and the higher level of accuracy our QC agent delivers could save an aligner manufacturer $300 per remake, for example.
We also believe we’re helping to speed the appliance manufacturing process, leading to quicker turnaround times for dental appliances, which helps dental labs receive revenue faster and improve their cash flow. And we already know we’re meeting a critical need: After we launched the QC agent in October 2025, our first customer signed with us in December. That customer, Orthero, an aligner company serving more than 20 countries, has enjoyed significant results.
“Orthero benefits from this automation by making quality control faster, more consistent, and scalable,” Efer Turhan, a co-founder of Orthero, said. “With support from Movix’s QC AI Agent, we detect missing or inconsistent inputs early and flag unusual deviations before they cause delays.”
The details:
Even with the advantages of AI, our goals demand some serious work. Our architecture supports a solution that’s agentic and modular, integrates into existing on-premises dental systems, and ensures security and compliance.
Our agentic approach allows our system to run checks and balances, manage the complex, multi-step process of quality control for dental scans, and eliminate human errors that occur in data handling and quality review. Our goal is to develop five distinct AI agents by 2029 that cover the entire dental appliance workflow, from original patient dental scan to appliance manufacturing. While our first agents focus on data entry and dental scan quality control, our next agents will handle 3D file repair, clinical review, treatment planning, and manufacturing.
Our solution architecture also enables our system to integrate seamlessly with our customers’ existing lab management and manufacturing systems through API integrations. Because we are selling our solution into a conservative market, we decided to bear the burden of responsibility for successful adoption by doing as much of the integration work as possible.
Because we operate in the highly regulated healthcare industry, we built an environment that strictly follows compliance rules, anonymizing protected health information, or PHI, before it enters our machine learning pipeline to prevent health information from being exposed to the processing environment.
We plan to build hybrid solutions to capture a wider market as we move forward. We’re designing an architecture that connects our cloud-based AI agents with older, on-premises software that many conservative labs still use — through lightweight local connectors and standardized APIs. This will allow us to access a large market segment that has not yet migrated to the cloud or begun to use new digital dental technologies.
Taken together, we are not just solving a skills gap, we are reimagining what is possible with co-pilot and agentic solutions across the entire dental industry.
