Embed Relu's OEM plug-in to automate your implant, maxillofacial or orthodontic treatment planning software cost-effectively.
Segment bone, individual teeth, sinuses or nerves on CBCT.
Segment digital impressions.
Align CBCT, digital impressions and facial scans to each other.
All done automatically using AI.
Extract individual teeth, mandible, skull, mandibular canals, maxillary sinuses and more from CBCT or crowns from IOS.
Register IOS and facial scan to the CBCT in a matter of seconds. Completely automated using AI.
Create the most accurate representation of each tooth by using the crown of the IOS merged with the root from the CBCT.
Save engineering time by using our easy-to-use APIs that help you automate the tedious and laborious tasks in the implant planning workflow. We make sure that you can ship as quickly as possible.
Read API docs
Run the Relu® Engine on the devices of your own users by integrating it as an SDK in your software using C++, C# or Java.
Let Relu take care of the deployment and use our REST API to have Relu process the data and send you back the results in minutes.
Relu combines high accuracy with unmatched consistency. Unlike humans, AI doesn’t get tired. It delivers the same quality all day long. That’s a real game-changer for clinical planning.
What used to take two hours now takes two minutes—fully automated. Relu’s AI gives us the speed and scalability we need to bring guided surgery to the mass market.
Relu is not just a supplier — it's a real alliance. With their AI solutions, we've been able to achieve massive output with a compact team. It’s accelerated our production, streamlined our workflows, and expanded what’s possible.
Increase the predictability of the orthodontic treatment plan by including CBCT. The roots and bone get automatically segmented so your users can avoid root collisions, dehiscence and fenestrations.
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Leverage the Relu® Engine in oral and maxillofacial surgery software to create surgical splints in a faster and more accurate way. Create the digital twin in 1 click, and let the end user focus on the treatment.
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Accurate CT and CBCT segmentation are the basis of a qualitative patient specific implant but the issue is that manual segmentation takes several hours. Leverage the Relu® Engine in your software to automate the segmentation process.
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Patients want to understand what will happen during the treatment, but they have a hard time understanding raw CBCT images.
Leverage the capability of the Relu® Engine to create a digital twin of the patient to increase treatment conversion rates.
The limit for how you use the Relu® Engine is your own imagination.
If you are developing a software that can benefit from CBCT, digital impressions or facial scans, then make sure to reach out for a chat.
