TensorIoT creates custom automotive fleet management systems that track vehicles and unlock business value for major clients in the automotive industry.
TensorIoT helped a leading developer of lab supplies calibrate their manufacturing schedule by improving the accuracy of their product demand forecasts.
TensorIoT built a computer vision solution to recognize, record, and count casino chips to determine what bets were being placed at a specific gaming table.
TensorIoT worked with SkyBell to improve their cloud infrastructure. TensorIoT also created a scalable DevOps pipeline that will make it easy to grow the application.
TensorIoT created a technology stack that demonstrates the business value of AWS and gives the client the ability to use AWS IoT SiteWise and other tools.
TensorIoT developed a platform for handling IoT data in a multi-tenant environment, enabling G2V’s customers to securely monitor and analyze device data.
TensorIoT helped a leading developer of lab supplies create a hands-free Alexa voice assistant tool to answer complex scientific questions in sterile laboratories.
TensorIoT built a solution for liberating telemetry readings and organizing it on central dashboard, and providing analysis and visualization on machine performance.
TensorIoT created a data lake with industrial IoT connectivity, so that the client can monitor energy usage to improve the energy efficiency of their operations.
TensorIoT built a system to help a casino improve their rewards program by tracking customers within a casino, from gaming tables to bars and restaurants.
TensorIoT helped Vodafone deploy a driver monitoring solution on their multiaccess edge compute (MEC) platform to reduce accidents and promote safer roads.
TensorIoT and Amazon Web Services (AWS) built a solution for JBS Beef that used machine learning (ML) to improve the accuracy of their sales forecasting.