Swim ESP™ transforms sensor-rich industrial environments into intelligent, responsive, business-optimized systems with powerful edge-based analytics and machine learning that is self training and self managing, delivering hidden insights in real-time.
Swim ESP uses distributed learning at the edge - where floods of raw data originate. It self-trains on your data then digs in to deliver high-value, contextual, business-relevant insights and predictions that help operators and applications to quickly respond. Swim complements cloud based learning by analyzing high-rate feeds of noisy data to deliver enriched inputs to cloud applications.
Swim ESP is a "plug and play" solution for green- or brown-field Industrial OT environments. It is self-configuring and adapts to its its environment to automate operations, maintenance, and provisioning tasks, and is secured and patched by the Swim cloud.
Harness the power of machine learning at the edge with
Swim ESP for Smart Logistics (Demo Video)
Real-time dynamic lighting control:
Swim ESP for Smart Grids
Swim ESP is a real-time, edge-based IIOT learning platform that uses commodity devices to learn incomparable insights from data streams on the fly, reducing the cost and complexity of data transmission, and cloud storage and processing.
Swim ESP consumes sensor data from diverse devices at the network edge, intelligently transforming low-level events into a manageable stream of business-relevant insights and predictions that help operators and applications quickly respond.
Swim ESP is designed to “plug and play” in brown-field industrial environments to optimize Smart Logistics, and in Smart Cities and Smart Grid applications to transform infrastructure efficiency or to offer new services.
Swim revolutionizes Operational Technology (OT) environments with a simple, resilient, secure and self-managing solution that automatically learns and predicts key performance indicators on commodity devices, while minimizing lifetime management costs. Swim ESP adds value fast - without extensive PoCs or invasive changes to production environments. Swim learns at the network edge, making IIOT projects simple to pilot and affordable to scale. Contact Swim today to learn more about Swim ESP for Smart Cities, Smart Grids, Smart Logistics, and to find out how you can quickly deliver new insights from your infrastructure.
Transform your data into valuable, real-time, actionable insights
Swim ESP uses powerful, edge-based machine learning algorithms to automatically figure out the deployment context and configuration of each node, and to dynamically identify and track application insights. Swim transforms masses of low-value data into high-value insights, and predicts their future behavior. This enables operators to achieve the impossible - responding quickly to observed or predicted resource availability at a fraction of the cost. Swim cuts through the noise, saving bandwidth, and avoiding unnecessary storage and cloud processing.
Crucially, edge learning delivers new insights fast, in context, enabling the infrastructure to adapt to changing conditions. Swim adds intelligence to the OT fabric without disruption or downtime.
Swim ESP™ delivers a real-time, edge-based solution that uses commodity devices to learn incomparable insights on the fly with machine learning. Big insights without big data: Listen to your data.