Bring AI to your data.
Run AI, agents, and analytics directly where your data lives. No data movement. No governance compromises. Deploy in cloud, on-prem or hybrid.
How it works
Exasol AI
Exasol AI provides the foundation for building and running production-ready AI where your data already lives. It combines high-performance analytics, integrated AI capabilities, and open connectivity so you can develop AI applications and agentic workflows without moving data or compromising governance.
What it delivers
Faster AI. Lower Risk. Full Control.
Sovereign by design
Keep AI, agents, and data where they belong, with governance and infrastructure under your control.
Built for AI agents
Handle many AI agents, applications, and users working at once, powered by high-concurrency performance and predictable costs at scale.
Faster to production
Move AI from prototype to production faster, with enterprise-grade governance, performance, and control.
how to use it
Build your own sovereign AI stack
Build agents and run AI against governed enterprise data without sending data to external services. Use a local LLM, an MCP Server, and the Exasol database to create a fully auditable AI workflow that stays inside your environment.
01 · Deploy ~10 min
Install Exasol Personal
Run Exasol locally in minutes using the one-line installer.
02 · Configure ~5 min
Run a Local LLM
Point a local model runtime at Exasol so inference runs on your own hardware. No prompts or data leave your environment.
03 · Query ~10 min
Query in Natural language
Connect your model through the open source MCP Server. Ask questions in plain English and get trusted answers from governed enterprise data.
04 · Build ~5 min
Build Your AI Agents
Combine that governed access with agent skills to build agents that act on your data, tools, and models. Same governance, now autonomous.
Read-only by design
EU AI Act Article 13
Air-gap capable
Full query audit log
What’s the proof
The fastest database in the world. Period.
AI is only as powerful as the data platform beneath it. Exasol combines industry-leading analytical performance with massively parallel execution, enabling organizations to run AI, analytics and business-critical workloads directly where their data lives. The result is faster insights, lower latency and enterprise-scale AI without unnecessary data movement.
4×
Faster than DuckDB
PDS Benchmark
207×
Faster than ClickHouse
TPC-H Analytical Benchmark
20×
Faster than Snowflake
McKnight Consulting Group
7×
GPU speed-up for ML
Exasol GPU UDF Benchmarks
how it’s built
Core components behind Exasol AI
Who its for
Designed for teams responsible for AI outcomes
For Data Leaders
Turn AI initiatives into governed, production ready outcomes.
- Keep data, AI execution, and governance under your control
- Support compliance requirements through architecture, not workarounds
- Scale AI workloads with predictable infrastructure costs.
For Platform Teams
Run AI and analytics on a platform designed for performance, security, and operational simplicity.
- Deploy in cloud, on premises, hybrid, or air gapped environments
- Support AI agents, applications, and analytics on the same platform
- Reduce operational overhead with minimal tuning and a full audit trail.
For Builders
Build AI applications using the tools, models, and languages you already know.
- Work with Python, R, Java, and SQL
- Connect cloud hosted or self hosted models through a single platform
- Move from experimentation to production without rewriting code.
industry agentic use cases
Real AI workflows for real operational challenges
From fraud detection to predictive maintenance, Exasol helps organizations build AI workflows on governed enterprise data without moving data outside their control.
