Real-time analytics
in 3 clicks
Deploy analytics replicas alongside your operational databases to give apps and agents fast, sandboxed access to data. Open source and deployable anywhere.
Deployed in production by global enterprises
Make your data AI-ready
Sub-second query performance across sources, up to 80% lower lakehouse spend, and increased data resiliency.
Lower is better
0x
up to 100x faster queries
Lower is better
0%
up to 80% lower data lakehouse spend
Higher is better
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2x increase in data reliability for critical workloads
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Fast, physically isolated access to enterprise data
A single SQL endpoint for retrieving, accelerating, searching, and reasoning over operational and analytical data. Incrementally adoptable and built on object storage.
Real-time analytics without impacting production
Deploy an analytics replica in minutes for fast, isolated queries on real-time operational data.
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Fast and federated access to all of your data
Connect to and query operational databases, data lakes, and warehouses across the enterprise. Materialize and accelerate working sets in-memory or on disk for millisecond access.
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Combine keyword, vector, and full-text search in SQL
Use standard SQL to power hybrid search pipelines and deliver fast and context-aware results for search-driven apps. Rank structured filters, semantic similarity, and keyword matches to optimize relevance and robustness in your search results.
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Call LLMs directly from the query layer
Call hosted or local LLMs inline using SQL UDFs or natural language. Translate text, generate summaries, classify entities, and augment query results on your enterprise data without leaving the Spice runtime.
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Proven in production
From messaging platforms to security systems, companies like Twilio and Barracuda rely on Spice to deliver low-latency apps & AI agents at scale.

“Spice opened the door to take these critical control-plane datasets and move them next to our services in the runtime path.”
Peter Janovsky
Software Architect, Twilio

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Faster queries
“It just spins up and works, which is really nice. The responsiveness is amazing, which is a huge gain for the customer.”
Darin Douglass
Principal Software Engineer, Barracuda
Learn how Barracuda gained 100x faster query responses and reduced costs 50% with Spice

“Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it's helping us redefine personalized healthcare.”
Tim Ottersburg
VP of Technology, NRC Health

“Spice is the data plane behind Summation. Every connector we ship, from Snowflake to a generic REST-as-a-table, collapses into one SQL surface, which is what makes our AI agents portable across a customer's stack.”
Ramachandra Ramarathinam
CTO, Summation

“Spice AI grounds AI in our actual data, using SQL queries across many data sources. This brings accuracy to probabilistic AI systems, which are very prone to hallucinations.”
Rachel Wong
CTO, Basis Set
The data plane for enterprise AI
Query, combine vector and keyword search, and call models inline. The primitives agents demand from one interface.

Get started with Spice
Explore guides and examples that show how to query data, build apps, and integrate AI in minutes.
Spice.ai OSS Documentation
Visit the Spice open-source docs to learn how Spice works under the hood.
Spice.ai OSS Cookbook
Over 80 guides and samples to help you build data-grounded AI apps and agents with Spice.
Product Demos
Hands-on product demos to accelerate your learning with Spice.
See Spice in action
Walk through your use case with an engineer and see how Spice handles federation, acceleration, and AI integration for production workloads.
Talk to an engineer