WHY GOING BACK TO THE PAST,
WHEN YOU CAN LEARN FROM THE PRESENT
AND ADAPT THE FUTURE?
DYNAMOEDGE has designed a revolutionary platform
to enable CSPs to manage advanced mobility services.
DYNAMOEDGE is able to learn from the present to predict the future in real-time, all the time. Proven to be 8X faster than traditional IoT solutions, significantly accelerating your time to market since you don’t have to wait for months of historical data collection and/or training anymore to make a critical decision.
The convergence of IoT, edge computing and 5G, deliver the low latency, high reliability and efficiency needed to power streaming ML applications.
On-premise and Edge Analytics can decrease cloud storage by over 90%.
Predicting device malfunction before it happens, preventing accidents, increasing safety and extending the device life cycle.
An end-to-end platform streaming ML algorithms that adapt over time, adjusting to continuous changes.
The most demanding mobile device, racecars.
It’s the ultimate use case to proof our commercial technology
A Lossless telemetry Ingestor collects massive amounts of data from hundreds of sensors, life. It also automatically initiates the real-time ML analysis, without any user intervention.
Our patent pending Real-Time ML consists of three on-the-fly steps: Feature Extraction, Data Pruning and adaptive ML. To secure latency, features are analyzed before stored. After the new features have been added, older values are pruned from the dataset, updating the stream of continuous intelligence.
The solution breaks the time window into multiple tiles of smaller time windows that store aggregations over the tile interval, and a set of raw events at the head of the aggregation time window. The tiles are pre-computed. At feature request time, the final feature value is on-demand computed by combining the aggregations stored in the tiles as well as aggregations over the raw events.
Because of our strategic integration with Excelfore eSync, DYNAMOEDGE can securely deliver at scale, updating software over-the-air, while collecting real-time operational data from in-car devices, including telematics, electronic control unit, gateways and smart sensors.
A portable Mission Control Console panel gives the user the ability to monitor the entire fleet of cars, as a group and/or individually.
Intelligence Visualization dashboards allow the user to make the decision- making process faster and smarter, while there is still time to prevent the failure. The application is portable, so it can be viewed in any modern web browser, including cell phones, tablets and laptops. The dashboards display both, live data monitoring, as well as the results of the prior predictions.
HOW DOES IT WORK?
The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. To prevent expensive failures form happening, companies need proactive analysis, not reactive.
Secure Scale with eSync Excelfore OTA
Car Onboard and Offboard
To rapidly build and deploy Real-Time Machine Learning models at scale:
hundreds of models serving high volume requests or QPS with low-latency prediction.