> For the complete documentation index, see [llms.txt](https://docs.get3d.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.get3d.ai/user-help-center/get3d-reaction/need-more/5.3-upgradeable-algorithm.md). # 5.3 Upgradeable Algorithm Get3D is a technology company that specializes in real-world 3D model reconstruction, understanding, and application. The technology is rooted in academic research conducted at the ETH Zurich and University of Stuttgart, and the founding team has experience working at ETH Zurich, Microsoft Research, Wuhan University and the Hong Kong University of Science and Technology. The technical team of Get3D has more than 20 years of experience in the research and application of technologies in the fields of Photogrammetry / Computer Vision, Computer Graphics, Geomatics and Remote Sensing. The company insists on research and innovation as the basis of its existence. It will continue to research and develop solutions and services for the Sensing, Modelling, Computation and application of the physical world, which will promote the evolution of space information technology and provide maximum value for its customers. Our technology and products serve a wide range of industries as a team engaged in fundamental research and with technical capabilities in Photogrammetry, Mapping and GIS. Our technology has been applied to many famous archarological excavation sites, the digitisation of World Heritage sites, the 3D Reconstruction of Mega Cities, Large-scale Engineering Construction, Space Exploration, and so on. In addition, we are integration 3D Reconstruction technology with AI to create innovative solutions. **Get3D Reaction Real-time 3D Reconstruction Algorithm** Get3D Reaction boasts a fully autonomous and controllable real-time 3D reconstruction algorithm, empowering users to continuously upgrade the algorithm based on their specific needs and scenarios. Users can collaborate with our customer support team to provide feedback on various aspects, including modeling efficiency, modeling effects, and application of the generated 3D models. **Key Features:** Autonomous and Controllable: Users have complete control over the algorithm's parameters, allowing for fine-tuning to match their specific requirements. Continuous Upgradability: The algorithm can be continuously enhanced based on user feedback and evolving needs, ensuring it remains at the forefront of 3D reconstruction technology. User-Driven Optimization: Users can actively participate in shaping the algorithm's development by providing feedback on modeling efficiency, modeling effects, and application scenarios. Collaboration with Customer Support: Get3D Reaction is committed to providing users with an exceptional experience. To achieve this, we encourage users to collaborate with our customer support team by providing feedback and suggestions. This valuable input will be instrumental in driving the algorithm's continuous improvement and ensuring it meets the diverse needs of our user base. #### Contact Us: We welcome your feedback and suggestions. Please contact our customer support team to discuss your specific needs and how we can help you achieve your 3D reconstruction goals. #### Together, we can shape the future of 3D reconstruction! --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.get3d.ai/user-help-center/get3d-reaction/need-more/5.3-upgradeable-algorithm.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.