The Platform to Unite All Platforms.

Create user-centric intelligence from sparsely scattered device data from various platforms

Collect and store data from all connected devices without the need to integrate to every platform

Easy Integration

Easy to use libraries and packages in various programming languages means you can start receiving device data with as little as 5 lines of code

Real-Time Stream

Never be late on user events. Receive data streams through WebSocket or MQTT rather than manually polling periodically

Uniform Data Format

Regardless of its originating platform, all device data will have the same format so that you can easily consume and process the data

Sign up for early access!

We will be launching our beta service to early access users starting Summer 2016. Sign up to be part of this invitation!

Understanding your customers better through multiple connected devices.

Every connected device is collecting information about your user. However, individually they portray a small part of the user's life. By combining all available device data, you are able to understand your customer better and enhance your value add.


Wearable connected devices such as Apple Watch, Fitbit, and Jawbone can provide useful physical activity information and health data.

Home Automation

Home Automation devices such as Nest and SmartThings can provide environmental data such as temperature, fire, burglary, flood detection, as well as physical presence detection.


Transportation information from Connected Cars and DOT traffic information can provide useful data on drivers’ location, intention, and general routines to predict their immediate and/or future needs.


Physical activity data from retail stores and other various venues can provide insights into shopping habits, preferences, and interests (baseball stadium, concert halls, etc).


Knowing a user’s current location or intended destination while in transit will allow application providers to predict and augment user experience by always being a step ahead.


Some users prefer colder temperatures, some like it warm. What’s your user’s preference? Environmental data can also include weather information, indoor vs outdoor, etc.


Any transactional/short-term activity data such as running, sleeping, and purchasing can yield great insights on user habits and progress.


Proximity data is a correlation of a user’s location relative to other known establishments, events, or people. It allows insights on where, what, and with whom they enjoy spending time.

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