Relu is a cutting-edge startup specializing in cloud-based AI-assisted segmentation software for dental and maxillofacial images. The company operates in the dental technology market, providing advanced tools for dental professionals and software developers. Relu's primary product is the Virtual Patient Creator, which automatically segments and creates accurate 3D models from CT or Cone Beam CT (CBCT) scans. This technology is particularly useful for dental treatment planning, including oral maxillofacial surgery, implantology, orthodontics, and endodontics.

Relu serves a B2B (business-to-business) clientele, primarily targeting companies that develop dental software. By integrating Relu's API (Application Programming Interface), these companies can incorporate advanced 3D segmentation capabilities into their own software solutions. This allows dental professionals to save significant time and improve diagnostic accuracy. For example, the software can instantly calculate the volume of the pharynx to diagnose obstructive sleep apnea or automatically derive cephalometric and panoramic radiographs from CBCT scans.

The business model is based on a subscription or licensing fee for access to the API and software. This recurring revenue model ensures a steady income stream while providing clients with continuous updates and improvements. Additionally, Relu offers a free trial to attract potential customers and demonstrate the software's capabilities.

Relu makes money by charging dental software companies for integrating its Virtual Patient technology. This integration automates the segmentation process, saving dental professionals hours each week and enhancing the precision of their work. The company also provides robust support and customization options to meet the specific needs of its clients.

In summary, Relu is revolutionizing dental imaging with its AI-driven, cloud-based segmentation software, making dental treatment planning faster, more accurate, and more efficient.

Keywords: AI, dental software, 3D segmentation, CBCT, cloud-based, API, orthodontics, implantology, maxillofacial, diagnostics.