TensorIoT helped the client to enhance worker safety and build a sustainability platform with a custom air quality measurement solution.

Rehrig gained a platform that ingests system data, then sorts and showcases key metrics for operational management.

TensorIoT helped a leading manufacturer improve their operational efficiency and train their ML to recognize defects.

TensorIoT helped the customer gain a modernized IoT platform by developing a custom architecture and automation solution.

TensorIoT helped our client deploy a chatbot to aid in early detection of Alzheimer’s disease, along with a supporting website and call center.

TensorIoT helped a leading semiconductor manufacturer integrate an end-to-end automated data lake reporting solution to back productivity.

TensorIoT worked with the client to develop the AWS backend infrastructure as well as a mobile application to serve dashboards to end users.

TensorIoT creates custom automotive fleet management systems that track vehicles and unlock business value for major clients in the automotive industry.

To improve the client’s manufacturing processes, TensorIoT used edge hardware and AWS services to provide supply chain track and trace capabilities.

A leading US energy company worked with TensorIoT to overhaul outdated infrastructure and integrate AWS features, including Lookout for Equipment.

TensorIoT created an automated document processing system to help a national energy provider transition away from manual purchase orders.

Reliance Steel teamed up with TensorIoT to connect its industrial machines to the internet and get data from sensors and loggers on the machines.

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 helped Thermofisher Scientific create more accurate product demand forecasts that leverage sales, price, and promotional data.

TensorIoT developed a chatbot utilizing AWS Alexa to help provide critical government information to local residents in a rapid fashion.

TensorIoT built and deployed a solution using an edge computing platform to capture, and display fueling station data

TensorIoT helped the client develop a technology platform to manage and monitor their high-value mass cytometry equipment.

TensorIoT delivered an automated data processing system to help the client streamline their billing process.

TensorIoT used machine learning to visualize and analyze production operations, providing valuable insights to the client.

TensorIoT built a building management software that allowed monitoring of a building environment, creating a safe and sustainable system.

TensorIoT and AWS Professional Services collaborated to provide Itron Idea Labs with a cloud solution to support the Itron Manhattan SDK.

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 developed a chat and voice bot for a leading financial company to enhance the productivity of handing recurring customer needs.

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.

To help a leading music retailer provide a better experience for their customers, we build a call center chatbot for them that can answer FAQ's.

TensorIoT helped a leading national insurance carrier switch from manual to automatic claims processing to speed up their workflow.

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 helped Parkland Fuels turn their existing cameras into smart cameras, so that they can learn actionable insight from customer behavior.

TensorIoT provided SentientScience with a machine learning model that predicts wind turbine failure and reduces costly downtime for wind farms.

3D Systems turned to TensorIoT and AWS to handle migration of their backend system to better incorporate machine learning (ML) into their processes.

TensorIoT built the customer a linked data system that gives them enhanced visibility over their operations.

TensorIoT built a connected system that allows the customer to gain deeper insights into production data and product quality testing.

TensorIoT developed the AWS backend infrastructure and the web application to serve end users and improve the client's operations.

TensorIoT gave the customer a self-owned company-wide data platform that delivers clear insights into key performance indicators.

TensorIoT consultants worked with the client’s team members to build an effective platform that will perform load testing and disaster recovery.

TensorIoT built a solution for liberating telemetry readings and organizing it on central dashboard, and providing analysis and visualization on machine performance.

TensorIoT helped CCMG incorporate Amazon Lex and Pinpoint into their application and CRM system to improve response times and increase engagement.

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 the AWS infrastructure necessary to utilize Amazon Lookout for Equipment to improve the client's asset monitoring and management.

BPX Energy is a key component of BP’s corporate strategy to become an integrated energy company and to be net zero by 2050 or sooner.

TensorIoT created an IoT monitoring system to help the client track their mining equipment assets and send alerts when any problems were detected.

TensorIoT teamed up with AWS to create a solution that automatically collects and visualizes data on a new technique for growing animal feed.

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.