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Let’s Get Your AI Right

Global enterprises trust Alation to get their AI right — and keep it right.

It's why we built the Alation Intelligence Operating System.

Start a ConversationSEE HOW IT WORKS

TRUSTED BY DATA LEADERS WHO CAN’T AFFORD TO GET IT WRONG

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THE PROBLEM

AI can quietly (and confidently) break. The problem is figuring out where and why.

An agent gives you the wrong answer. Is it the data, the context, the agent, two of the three, or all of it at the same time?

Bad data reaches the agent

THE ANSWER IS AIOS

The Alation Intelligence Operating System ensures your data apps and agents are accurate.

Because there are so many ways to get the wrong answer, you see whether it was the data, the context, or the agent — and fix the right thing, with the right feedback, to constantly improve.

Diagram of what is inside AIOS: Governance of self-improving feedback loops covering agents, context, and data.

Solutions

For the work you can’t afford to get wrong.

AIOS powers solutions to your most critical business challenges.

  • Agentic Compliance

    Prove it on demand, not when the auditor calls.

  • Conversational Analytics

    Ask in plain language. Get answers you can defend.

  • Agentic Data Governance

    Control, context, and lineage — so every decision holds up.

  • Agentic Automation

    With Agent Studio, automate processes with data you can trust.

  • AI Governance

    Govern AI by use case, with proof already assembled.

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Daimler Truck North America

Edgar Gallo
Edgar Gallo

Head of Chief Data Office

“None of it would be possible without the foundation we’ve built with Alation.”

Daimler Truck North America

Infrastructure Stack

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DATA TEAM

900 People

2024 REVENUE (APPROX)

$25B

Daimler Truck uses Alation to manage and govern manufacturing data, creating an AI-ready environment for autonomous agents. Metadata management allows them to turn complex industrial data into actionable insights, proving that data intelligence is the cornerstone of modern, AI-powered manufacturing.

Industry Validation

Recognized by Leading Analyst Firms

  • Forrester

    Credited from 2012

    (1)

    Started the machine learning data catalog category

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    2017–2020 · 2025

    (9)

    Five time Leader, Magic Quadrant for Metadata Management

  • Forrester

    2018 · 2020

    (4)

    Leader, Forrester Wave: Machine Learning Data Catalogs

  • GigaOm logo in dark gray bold text with a blue letter O, on a white background.

    2023

    (14)

    Leader, GigaOm Radar for Data Governance

  • IDC logo

    2023

    (13)

    Leader, Inaugural IDC MarketScape: Worldwide Data Catalog Software

  • Gartner logo

    2025

    (11)

    Leader, Magic Quadrant for Data & Analytics Governance

Let us help you get it right.

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Sources & Notes

Every external claim on this page is independently verifiable. The public sources — and the analyst attributions they require — are listed here.

  1. Credited with starting the machine learning data catalog category in 2012.

    — Forrester Wave: ML Data Catalogs, Q2 2018

  2. Leader, Forrester Wave: Machine Learning Data Catalogs (2018, 2020).

    — Forrester

  3. Five time Leader, Gartner Magic Quadrant for Metadata Management (2017–2020, 2025).

    — Alation

  4. Leader, Gartner Magic Quadrant for Data & Analytics Governance (2025).

    — Gartner / Alation

  5. Leader, inaugural IDC MarketScape: Worldwide Data Catalog Software (2020).

    — IDC / Alation

  6. Leader, GigaOm Radar for Data Catalogs (two time) and Innovation Leader, GigaOm Radar for Data Governance (2023).

    — GigaOm / Alation