Analytics solutions for any IoT application

Solutions are built using our proven Big Data and low-code analytics platforms

Our analytics platforms hide the complexity of turning raw data into calculated metrics. This makes it easier, and faster, to develop analytics solutions quickly and at scale. We specialize in processing complex high volume, high velocity raw data and helping our customers develop and deploy real-time and predictive analytics solutions.

Meniscus Analytics Platform

Meniscus Big Data Analytics Platform – MAP

MAP is a scalable and flexible analytics platform for applying complex models to hundreds of thousands to millions of Entities or Things. Our unique use of Data Blocks and Data Versioning delivers the lightning fast database access and calculation times required to deliver real-time and predictive analytics.
Use MAP to develop models that deliver a range of industry specific analytics solutions. A comprehensive API simplifies configuration and integration of data into your own dashboards. MAP Rain is an example of such a model using real-time weather data. For a demonstration of MAP Rain and access to tutorials then click here.

Meniscus Calculation Engine

Meniscus low-code Calculation Engine – MCE

MCE is our original low-code cloud based analytics platform. It is really easy to configure and requires no programming knowledge. Replace your spreadsheets and create any calculation you want and apply this to any time series data. Ideally suited to small to medium sized analytics solutions where you want a solution delivered in hours – not days.
Comprehensive RESTful API that lets you configure all elements of the platform.
For an example of a dashboard built using the API then click here and click here for the complete MCE API documentation.

Examples of analytics solutions built using our Big Data MAP and low-code MCE analytics platforms

Analytics for the Water Industry

Analytics for Internet of Things

Real time and predictive flooding analytics

Advanced Energy Analytics

MAP Solar

Short term solar irradiance predictions

Chosen by clients including

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