
Is believed to be the world’s first pavement engineering company devoted to providing cutting-edge machine-learning based software for rapid, bias-free pavement evaluations coupled with an integrated visualization platform.

TEE was established in 2021 in collaboration with the University of Missouri-Columbia. Our software licensing partnership with the University of Missouri-Columbia keeps TEE at the cutting edge of pavement data science through convenient and continuous transfer of technology developed at Mizzou by TEE’s founding members to the pavement engineering community through Tiger Eye Engineering, LLC.

TEE’s flagship software uses advanced machine learning algorithms specifically designed for pavement evaluation and rating. It provides accurate, unbiased assessments of pavement conditions and generates both standard (e.g., PCI) and customized ratings.
The system benefits from expert-trained models, hybrid validation by local specialists, and continuous accuracy improvement through multi-year, multi-region training. It also supports seamless GIS integration, user-friendly visualization tools, and low-cost modules for measuring IRI and rut depth.

TEE’s business model involves partnering with local engineering firms to provide clients with high-quality, locally validated pavement evaluations at a highly competitive price point. This is made possible by its powerful and efficient machine-learning software programs. Software solutions are tailored to client needs with respect to local and cloud-based data hosting and computing, data backup, and multi-year data hosting needs.







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