The data platform for AI context

Give agents fast, physically isolated access to operational, analytical, and streaming data. Open source and deployable anywhere.

Deployed in production by global enterprises

A secure, fast data stack for every agent

Watch Spice AI founder Luke Kim's 20-minute talk and live demo on why enterprise AI agents need their own sandboxed data stack, and the patterns to build one.

Make your data AI-ready

• 46x up to 100x faster queries
• 37% up to 80% cost savings on data lakehouse spend
• 0x increase in data reliability for critical workloads

Ground apps and AI agents in enterprise data

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.

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.

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.

Spice in 30 seconds

Interactive walkthrough of core functionality, no signup required.

Control and optionality at every layer

Enable real-time, AI-driven apps on top of your existing data with the trust and scalability enterprises demand.

Deploy anywhere

Run Spice.ai Open Source locally, at the edge, or on the fully managed Spice.ai Cloud Platform. Lightweight, portable, and designed for scale.

AI sandboxing & security

Provision isolated, least-privilege datasets for apps and agents with zero direct database access. Keep governance intact while enabling RAG, agents, and AI workflows.

Distributed observability

Perform end-to-end tracing across SQL, embeddings, search, and LLM calls. Debug, measure latency, and prove ROI from a single view.

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

“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

“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.”

— Tim Ottersburg, VP of Technology, NRC Health

“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

Get started with Spice

Explore guides and examples that show how to query data, build apps, and integrate AI in minutes.

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.