AI Operating System for Companies

About this guide

A governance-first guide for established companies bringing AI under the same controls as the rest of the business.

Contents
  1. Who it is for
  2. How it is made
  3. Ownership
  4. Corrections

Comparisons of enterprise AI platforms tend to focus on model quality and demos. For an established company, the deciding questions are different: who the AI acts for, what it may touch, who approves, where the record lives and who owns the data. This guide is built around those questions.

Who it is for

Chief information officers, chief operating officers, finance directors, security and compliance leads at companies of roughly 100 to 2,000 people that are choosing a company-wide AI platform. We assume readers have been through software selections before and want the controls and costs stated, not the vision.

How it is made

Each profile draws on the vendor's own published material: product, security, documentation and pricing pages, and the customer evidence it publishes. Every fact links to its source with the date we read it, and every platform is assessed on the same seven criteria, set out on the methodology page.

We review the main comparison at least once a quarter and whenever a vendor materially changes its product, controls or prices. Pages show their last update and a short change log.

Ownership

This site is published by the team behind OpenLazarus, one of the platforms compared. OpenLazarus is assessed on the same criteria as the others, and its limits are listed alongside theirs.

Corrections

If something is wrong or out of date, contact us. We verify it against the source, correct the page and record the change.