Dreaming about the perfect
360 data science platform?
Dreams do come true
Yes, for real, and these are the facts
Streamlines data processing and visualization. All resources are easily integrated into the infrastructure to maximize flexibility.
Every process performs at high-speed: data processing, model building, visualizations, and sharing. Ready to build your model in just 3 lines of code?
Safety is built in. Quickly deploy reports with a security system already implemented by Shapelets, so you can now operate more efficiently.
Painless integration with a direct merge into your system architecture. It can be deployed either locally or in the cloud. If it works on Python, it works on Shapelets
Intuitive platform. No need to spend endless hours learning to use Shapelets. Get started fast!
Best in class
Designed to take up less space on data processing resources and lower the cost of data storage.
You can work with both large and small files, streaming data (on-premise data), and any file format (CSV, Excel, JSON).
Trouble-free pricing, as you pay per use, per processing unit. A comprehensive solution in a single invoice.
Shapelets is a comprehensive data science framework to manage the data, from the early stages (collection, ingestion, storage) through its value extraction (preparation, visualization). It allows for transforming and empowering companies toward data-driven models.It is designed and engineered to help data science teams better monitor the data feeds in real-time, using machine learning to automate tasks, and when needed, provide recommendations. It is an all-in-one tool centred on offering a solution in every step of the data processing cycle.
Designed and engineered to help data science teams better monitor the data feeds in real-time, using machine learning to automate tasks and provide recommendations when needed. An all-in-one tool that offers a solution at every step of the data processing cycle.
Being a software tool, it can be deployed on local computers, in the cloud, and in on-premise infrastructures. It provides its storage engine, optimized for time series and connectable with most data stores, including common streaming data services. As per processing capabilities, you can easily incorporate highly efficient implementations of algorithms for prediction, classification, and anomaly detection in time series, while keeping users free to use their favorite python libraries or even their own code implementations, that can be seamlessly deployed in computing clusters to obtain the highest performance through distributed executions.
It is unique to the market, capable of managing and modeling a vast amount of time series data, and visualizing them in an easy and intuitive way, thereby capturing information that is relevant for the various departments in a business, third parties, data professionals, etc. All in real-time.