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Spice.ai

09/04/2024

AI Tool: Spice.ai

Data or ConceptDescription
What is Spice.ai?Platform that delivers ready-to-use, composite AI data infrastructure, pre-loaded with web3 data. Accelerates the development of next-generation intelligent software by providing building blocks for creating applications driven by data and AI.
Spice.ai Key ServicesReal-time historical time series data composition, custom ETL, and machine learning training and inference.
web3 data accessDevelopers can easily access high-quality web3 data across ecosystems like Bitcoin and Ethereum using SQL queries and Apache Arrow APIs.
Machine Learning PipelinesIt includes machine learning pipelines for a fully automated petabyte-scale data platform, allowing users to train models, share them, and access community-developed models.
Upcoming featuresSpice.ai will introduce Spice Functions and Container Compute to enable custom processing for each block of data and code execution in preferred languages.
Storage and connectivityIt provides persistent managed cloud storage through DuckDB, connectivity to external data sources such as Elasticsearch and MongoDB, and enterprise-grade blockchain node hosting for multiple blockchains including Bitcoin and Polygon.
Query and AI capabilitiesWith industry-leading data indexing, fast queries, and AI capabilities, Spice.ai is designed to enable developers to build next-generation applications effortlessly.
Official Web siteSpice.ai
Related searchesSpice.ai, data analysis, tool Artificial Intelligence.

Spice.ai is an innovative infrastructure platform composable and ready-to-use AI data, optimized for web3 data. Designed to accelerate intelligent software development, Spice.ai provides key building blocks for AI data-driven applications, including composition of historical data in real time, Custom ETL, and training and inference of automatic learning. Ideal for the development of smart apps, facilitates access to high-quality web3 data through SQL queries and Apache Arrow APIs.

In addition, it includes machine learning pipelines and managed cloud storage.

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