Macrometa is enabling a more intelligent Internet of Things (IoT), supporting enterprises that are moving to the edge so they can capture more data, analyze it faster, and act on it sooner while saving up to 80% compared to traditional cloud architectures. Take full advantage of your data streams and drive real-time insights from IoT sensors, connected objects, and devices to transform your operations and attain a competitive edge.


Real-time Location Tracking

Identify and track the location of objects or people in real-time. Some examples: Fleet tracking, Tracking automobiles through an assembly line,  locating pallets of merchandise in a warehouse, Finding medical equipment in a hospital, Track tools, machines, people (if legal) in a construction area, etc.

Autonomous and Connected Vehicles

Data generated by connected vehicles can be capitalized to deliver greater auto-safety, monitor vehicle performance, and health and transform driving experiences. Capture IoT streams from cameras, radar, light detection and ranging (LIDAR), and other onboard sensors for insights into road conditions and traffic patterns to inform appropriate driving actions, prevent potential accidents, and predict maintenance.

Fleet Management and Tracking

Identify and track the location of objects or people in real-time.

Predictive Maintenance

Ability to have real-time insight into vehicle health for maintenance. For EV, monitoring of battery health and ability to tether vehicle to local EV charging points 

Identity Graphs

Build identity graphs for any identity resolution solutions, including device and social graphs, personalization and recommendations, and pattern detection. Use identity graph to link identifiers and update profiles easily and query at low latency — enabling faster updates and up-to-date profile data for ad targeting, personalization, analytics, and ad attribution.

AI and Computer Vision

Use AI to “see” and interpret visual data at the edge. Aggregate your data at the edge and only return the necessary bits to your cloud.

Real-time Machine Learning with pre-created models and online training

Serve pre-created ML models based on TensorFlow or PMML that are built via Python, R, Spark,, or others and call models via HTTP or gRPC for decision making. Online machine learning for clustering, classification, and regression. Anomaly detection using markov chains.

Why Macrometa

Build Highly Performant Applications

We store, serve, and process your data within 10ms of 80% of the world's population and have a global P90 roundtrip response time of 50ms. We maintain your data's state and consistency across all of our 175+ data centers, and you can use our API to augment your existing applications or build from the ground up.

On Macrometa's Edge Cloud, your apps are going to be faster than ever before.

Reduce your cloud spend

The tech behind Macrometa is a revolutionary new way to build cloud-scale applications. We've designed the platform from the ground up to be highly efficient for reads and writes. It's so efficient that we can operate at a fraction of the cost of traditional cloud providers and pass those savings on to you, typically 50% or more! 

Read our white paper for the details.

Improve Developer Velocity & Happiness

Developers spend 80% of their time writing and maintaining glue code and 20% of their time on the business logic that makes your business unique. Our platform is entirely Serverless, which means we abstract that 80% percent away so developers can focus all their time on the bits that add value for customers. 

Developers can program against our API in whatever language they are familiar with, so getting up to speed and productive is as simple as reading some documentation. So, you can bring products to market and ship new features in a fraction of the time it usually takes.