KogniGraph™ (BETA)
A Cognitive Graph Engine for MQTT Brokers
About
KogniGraph™ is a cognitive graph engine for lightweight network protocols supporting edge AI and IoT environments. It is primarily used to contextualize sensor and machine data in edge analytics environments.
KogniGraph™ is developed for GPU accelerated containers to work in any deployment environment.
KogniGraph™ is a representation schema intended to model the probabilistic behavior of sensor data using various business domain data. It contains over 50 highly-customizable fusion algorithms that increase the degree of autonomy in edge decision making.
Status | Developer
Beta | Team @ Raekolabs.ai
Release Date
14 July, 2019
Toolkits | SDK Available
Send us an email to request a customizable toolkit
Website
Semantic Graphs for Edge Analytics
Semantic graphs at the edge will reduce the time it takes for organizations to understand large amounts of sensor data and act on that data. As organizations continue their pursuit to push computation to the edge, greater contextualization of sensor data is needed to support understanding and targeted action. Semantic graphs at the edge provides the context that is often missing from mining dark data.
Use Case: Patient Monitoring and Compliance
Our edge graphs are currently being tested in local area hospitals to improve patient safety in intensive care units and operating rooms.