Drowning in data from edge devices, and need to make sense of it? SWIM EDX is fast, light software combining machine-learning and edge computing to automatically turn gray data into events, insights and predictions without big-data and costly analysis - helping businesses respond in real-time, save costs and generate new revenue. Learn More.
SWIM analyzes all streaming data, in real-time, at the edge where it's created, to act immediately.
SWIM software runs at the edge on existing devices, and is easy to set-up and manage.
SWIM EDX self-trains AI models from edge data to predict events, maintenance, failures and patterns.
EDX delivers real-time insights & predictions from data alone - with powerful analytics, machine learning and edge computing.
Darren Beyer, Trafficware Inc.
Darren Beyer
CTO, Trafficware Inc.
Senior Director, IoT Provider
Mark O’Marketing
VP Sales & Marketing, Xappp
Kurt Marko, IT Analyst, Diginomica
Mark O’Marketing
VP Sales & Marketing, Xappp
Senior Director of Systems Architecture, Major OEM
SWIM analyzes real-time, gray, streaming edge data and turns it into what's actually happening. It finds critical relationships and accurately predicts what will happen - at the edge.
Real-time business and operational insights from ‘gray’ edge data—delivered to a browser or an API.
Learn More →Ingests, reduces, analyzes and predicts performance from streaming edge data, on the fly.
Learn More →Creates intelligent "digital twin" models using advanced analytics and machine learning from gray, streaming edge data — finding critical current information, and predicting future behavior.
Learn More →EDX software is small, self-managing, self-learning and self-training. It creates a distributed edge computing fabric on existing devices enabling local analytics and predictive machine learning.
Learn More →Ensures end-to-end security, protecting your data and edge infrastructure from attacks and unreliable connections.
Learn More →Request more information or demo to see how SWIM adds to your existing environment to reduce, learn, analyze, predict and act on gray edge data.