Building blocks for data and AI
applications
Composable, ready-to-use data and AI infrastructure — including managed, cloud-scale Spice.ai OSS. Accelerate development of the next generation of intelligent software.
Trusted by
Introducing Spice.ai
An enterprise-grade solution from Spice AI, Spice.ai delivers planet-scale data and AI infrastructure in a fraction of the time to build in-house and at a fraction of the cost.
Spice.ai provides building blocks for creating data and AI-driven applications by composing real-time and historical time-series data, ETL, machine learning training and inference, in a single, interconnected AI backend-as-a-service. Run Spice.ai at peak performance with managed, cloud-scale Spice.ai OSS, complete with enterprise support.
No need to self-host with managed, cloud-scale, Spice.ai OSS, the best place to run Spice.ai OSS.
No need to build and operate complicated infrastructure.
No need to operate ETL, big data systems, machine learning pipelines, and caching and query engines — the list goes on.
No need to manage 10s -100s of TBs of data.
No need for an expensive SRE or Ops teams.
No need to be data science and machine learning experts to leverage AI and time-series data.
Powered by
Building Blocks of Intelligent Apps
With Spice.ai, building blocks for creating the next generation of apps are within reach for any developer. Incrementally adopt the blocks you need, then compose them together to develop intelligent web3 data and AI-driven software.
Data
SQL query
Managed Spice.ai OSS
Datasets and views
Spice.ai provides federated SQL query, local materialization, and acceleration of datasets from any database, data warehouse, or data lake.
SQL Query
Query data using simple SQL in seconds, and fetch results in JSON or Apache Arrow for easy use with apps, machine learning, or libraries, including NumPy and Pandas.
AI
ML model training and registry
ML model hosting and inferencing
Spice.ai includes machine learning pipelines that are automatically wired up to a petabyte-scale data platform, providing high-quality time-series data for feature extraction and storage, training, and inferencing.
Trained Models
Easily share your models privately with collaborators or publicly, and access those developed by the community. All trained models are tracked in the Spice model registry and can be used without additional user-provided data.
Enterprise-Grade Performance
ApacheArrow APIs
Dedicated to the Developer Experience
Get Started with Just Three Lines of Code
Designed for Applications & Machine Learning
Build the Next Generation of Apps
Try Spice.ai Now
Query time-series data in seconds & make ML predictions
Discover just how fast querying Spice.ai is, and make AI predictions via our live widget, powered by Spice Firecache. Dedicated to delivering the best experiences for developers, we enable you to get what you need within a few clicks.
Sign up with Spice.ai to unlock full planet-scale SQL query and machine learning capabilities today.
How Spice.ai
Works
Focus on your application. Spice.ai brings together enterprise-grade data and AI infrastructure, serverless compute, storage, ZK & ML GPU clusters, blockchain nodes, and indexing into a single, developer-focused platform.
.webp)
Historical Data
Your Own
Indexing
Spice AI  Multi-cloud, high-availability SOC2* deployments | Building & Operating In-House | |
|---|---|---|
| Managed Infrastructure | ||
| Data & AI Infrastructure Cost | Included | $5k to $50k per month |
| Enterprise-grade high-availability and compliance | Included in Enterprise Multi-cloud, high-availability SOC2* deployments | Twice as much as Spice.ai 2x the total cost of infra and ops |
| High-performance caching for frontend & inferencing queries | Managed Spice.ai OSS | $1k to $5k per month |
| Data | ||
| Enriched Datasets | Spice AI supported | Process and enrich manually |
| Historical prices data | Included | $1K - $15K per month From providers such as CoinMarketCap |
| Engineering | ||
| Data and Infrastructure Engineering Cost | Included | $15k to $20k per month, per engineer |
| Time to Implement | Get started in minutes | Typically 3 to 6 months |
| Operations & Support | ||
| On-Going Operational Cost | Included with Pro for Teams and Enterprise plans | $15k per month, per engineer |
| 99.9%+ Enterprise SLA & Support | Included in Enterprise | Self-managed 24/7 on-call |
“We are a team of crypto and fintech product experts, not cloud and developer infrastructure , so we needed to evaluate solutions based on their ease of implementation and time to market. We value solutions that deliver performance of transactions and pricing data without compromising the developer experience
and accuracy.”
Our success stories
Core Features
of Spice.ai
Enterprise-Grade Infrastructure
Apache Arrow
Enriched Data Included
Combine SQL with code
Ecosystem Compatible
Datasets & Views
SQL Firecache
Petabyte-Scale Data For Applications & ML
Building the Future of Data & AI-driven Apps Together
We're building the Spice AI Platform, so that developers everywhere can have the building blocks to create the next generation of intelligent applications with ease. Learn more about the platform, where it's going, and how you can be a part of it.
