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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.

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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 concurrency


Support thousands of AI agents, applications, and users on a platform built for enterprise 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.

curl https://downloads.exasol.com/exasol-personal/installer.sh | sh # download launcher

02 · Install ~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

Get started here

What’s the proof

Numbers that reproduce.

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

See the results

207×

Faster than ClickHouse

TPC-H Analytical Benchmark

See the benchmark

20×

Faster than Snowflake

McKnight Consulting Group

See the benchmark

7×

GPU speed-up for ML

Exasol GPU UDF Benchmarks

See the results

how it’s built

Core components behind Exasol AI

In-Database AI via UDFs

Execute Python, R, Java, and Lua workloads directly inside Exasol. Process data at the source without moving it between platforms, enabling faster, secure AI execution on governed enterprise data.

Explore Exasol’s AI Architecture

MCP Sever

Provide secure, read only access to trusted enterprise data through an open source MCP Server. Enable conversational analytics with Text-to-AI, agent workflows, and natural language interactions with a full audit trail.

Use Exasol’s MCP Server

Connect any AI model

Connect cloud hosted and self hosted models through a single connection layer. Switch providers without changing application logic or rebuilding workflows.

Learn how

Native Agent

Create and orchestrate agent workflows with access to trusted data, tools, and models while maintaining governance and auditability.

Set up your agents

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.

Exasol AI helps banks detect financial crime by analyzing millions of transactions in real time, identifying suspicious activity faster and reducing false positives. Compliance teams can focus on the highest-risk cases while maintaining a complete, audit-ready decision trail.

Streamline claims processing by analyzing policies, claims history, and customer data to identify fraud and reduce claims leakage. Insurers can make faster, more consistent settlement decisions while improving operational efficiency.

Exasol AI enables healthcare providers to forecast demand, optimize bed and staff allocation, and respond more effectively to changing patient volumes. Sensitive data remains securely governed while operational decisions become faster and more informed.

Analyze machine and sensor data to detect early signs of equipment failure, allowing maintenance to be scheduled before costly breakdowns occur. This reduces unplanned downtime and improves production efficiency.

Exasol AI helps public sector organizations anticipate service demand, prioritize cases, and allocate resources more effectively. The result is faster service delivery, better use of constrained resources, and secure handling of sensitive citizen data.

Get started

Start building with Exasol AI today

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Explore AI Documentation

For technical research and implementation

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Talk to an AI Specialist

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