Cool UI for your project

Vector databases store and process data as vectors, offering advantages in data analysis, machine learning, and information retrieval over relational, document, and graph databases. Key applications include semantic search, product recommendation, and anomaly detection. These databases excel in flexibility, scalability, and efficiency, making them highly suitable for handling diverse and large datasets.

Explore the power of vector databases, accelerate performance with bitmap indexing. See how Shapelets REC revolutionizes data access speeds.

Efficiency and precision in handling extensive data volumes

Create professional interfaces for your machine learning models effortlessly with Shapelets Platform. This tool allows you to design elegant, user-friendly web interfaces with minimal code, letting you focus on your model while Shapelets handles the rest.

We are announce our participation as Teide sponsors at PyCon España 2023, one of the most prestigious events in the Python community.