Macrometa is a global, data first, edge IoT platform that delivers unprecedented low latency and scale for high speed data processing, real-time analytics, Machine Learning, and Artificial Intelligence capabilities at the network edge.
Conventional centralized cloud hosted IoT suffers from development complexity, poor performance and high data transit and compute costs. Macrometa offer a unique combination of running your IoT backend at edge data centers (close to producers and consumers of data) and enabling rapid data ingestion, processing and enrichment with AI/ML/DL in real-time.
To use Macrometa's Global Edge Fabric, you don't need to be an experienced distributed systems developer. Your hard earned knowledge and skills are completely portable to the edge. Use our Online Resource library to learn about the edge, program our platform using APIs, SDKs with tutorials and example apps.
Edge devices and gateways are cheap, disposable, and not strategic. The data they gather and forward
Sensor data can be ingested, combined, shaped
Unlocking the value of data in your enterprise hinges on being able to gain real-time insight and instantly automate responses. Data pipelines are the key enablers to unlocking opportunities, spotting problems and extracting value from data.
Most pipelines sit in the cloud forcing you to move data over great distances and analyze far from the source. Macrometa offers a superior alternative that lets you connect your IoT devices and sensors to our edge platform and create rich, real-time data pipelines without backhauling to the cloud. Our database, streaming and
Data ingested from mobile platforms like cellular phones, cars, bikes, and drones contain significant location attributes. Unfortunately, conventional databases can't process location attributes such as latitude, longitude or altitude.
Macrometa lets you process and query data with location attributes using geo-aware queries. Macrometa understands the relationships of distance and motion between objects and bounding regions called geo-fences. This lets you see in real-time the location of objects, proximity of objects to each other, and calculate distance and intercept times for objects in motion.
One or more geo-fences can be queried to enumerate what objects are inside or outside of multiple bounding regions.
Macrometa's edge platform enables IoT solutions that take advantage of location, proximity and low latency to perform superior machine learning and deep learning enhanced applications.
By allowing ML/DL models to execute at the edge, time and cost complex operations like anomaly detection, fraud detection, and pattern recognition can all be performed milliseconds away from your IoT devices, sensors and customers.