Introducing

Madison is a deep learning-based natural language processing platform that extracts and curates data from enterprise systems, sensors, and last-mile sources, converting disconnected and siloed information into actionable intelligence. Imagine employees having conversations with equipment about error codes, service bulletins, live data feeds or past performance - "Siri for the Industrial Worker".

What it does

Purpose-built for frontline employees and designed for industrial domains, Madison empowers blue-collar workers who make critical minute-to-minute decisions that impact productivity, safety, and ultimately cost. Madison extracts enterprise, IoT and technical domain data to generate new operational insights and deploys these insights in real-time to the end users working on the last tactical mile.

How it works

Madison is comprised of two primary software components. An insight engine which acts as the brain of the platform extracting enterprise, IoT, and technical domain data, and a blue collar copilot which deploys curated knowledge as actionable insights to end users on Microsoft Teams, mobile devices, or wearables.

Built from the ground up for last mile workers and designed for industrial domains, Madison is not about planning, analysis, or digitization, but is focused on the actual execution of work.

Difference

Contextere develops Blue Collar AI_® that empowers frontline employees with contextual information when conducting complex tasks on equipment and infrastructure. This enables each worker to conduct installation, repair, maintenance, and inspection activities reliably, effectively, and safely by providing critical information proactively, when and where they need it.