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Spice.ai
Spice.ai

Spice.ai

Streamline petabyte-scale data analysis.
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Description

This AI enables you to rationalize the workflow by offering a powerful platform for the processing and analysis of time-series data in just a few seconds. Spice.ai stands out for its ability to integrate simple SQL queries and to provide fast results in JSON or Apache Arrow formats, thereby facilitating their use with applications, with the machine learning or popular libraries like NumPy and Pandas.

Spice.ai's Spice Cloud platform is a turnkey data and AI infrastructure solution that eliminates the need to manage a complex infrastructure or to possess deep data science expertise. It is specifically designed for developers, enabling easy integration of the building blocks needed for data-driven software development data-driven.

Users benefit from an all-in-one model with ready-to-use machine learning pipelines and continuous integration of AI models, which significantly reduces development time and costs. Furthermore, the platform allows sharing and use of trained models, without requiring additional data from users.

In short, Spice.ai is ideal for developers looking to leverage massive and complex data to create next-generation applications while minimizing technical and operational barriers.

Plan prices

Basique

Advanced

Pro

Waiting list
€/month
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A demo
Gratuit
When using
€/month
Gratuit
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Reserve
A demo
When using
Gratuit
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€/month
Reserve
A demo

Features

Who is using this AI?

Features

Development process optimization using AI building blocks

This software enables developers to create data- and AI-driven applications using ready-to-use building blocks. By combining SQL queries, model serving, and data acceleration, users benefit from fast and efficient results, optimizing workflows and significantly reducing development time.

Simplified and rapid access to petabyte-scale data

With the ability to handle complex SQL requests in a few seconds, this platform uses the Apache Arrow API to facilitate access to massive data, thereby providing users with easy integration with tools like NumPy and Pandas. This translates into an improved user experience and a reduction in delays to obtain valuable insights.

Extensive compatibility with modern development ecosystems

The platform ensures exceptional compatibility with popular libraries such as TensorFlow, PyTorch, and NumPy, enabling the development of applications with fewer technical constraints. This opens up great possibilities for developers wishing to integrate advanced features without compromising performance or security.

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