Company profilegocollectiv.com ↗

Collectiv

Collectiv helps enterprise organizations develop AI strategy, prepare AI-ready data foundations, and implement enterprise AI solutions.

Data Infrastructure and Analytics
Headquarters
Chicago, Illinois, United StatesSource: RevenueBaseRetrieved October 13, 2026
Employee range
51 to 200Source: RevenueBaseRetrieved October 13, 2026
Founded
2016Source: RevenueBaseRetrieved October 13, 2026
Published list appearances
121 supported appearances ↗Source: RevenueBase lists
The company at a glance

What does Collectiv do?

Its enterprise AI and data work uses Microsoft Fabric, Databricks, Power BI, Microsoft Copilot, and modern cloud analytics.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

What the business offers

Services & capabilities.

Enterprise AI services

Collectiv offers AI strategy, readiness assessments, and implementation, including moving AI pilots into production systems.

Source: LinkedIn company description · Retrieved October 13, 2026

Data strategy and architecture services

Collectiv provides consulting for Microsoft Fabric and Databricks.

Source: LinkedIn company description · Retrieved October 13, 2026

Explore the business in context

Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

Positions describe ordering within each source list. See how lists are built ↗

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BADGE PREVIEWCollectiv listed #4 on Azure devops consulting companies, September 26, 2026Open the published source list.
Collectiv

#4 Azure devops consulting companies

Snapshot: September 26, 2026

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Company information

Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 4, 2026. Directory positions use company-contact counts from separate saved list snapshots dated August 30, 2026, September 7, 2026, September 9, 2026, September 15, 2026, September 18, 2026, September 20, 2026, September 22, 2026, September 26, 2026, September 27, 2026, September 28, 2026, September 30, 2026, October 7, 2026, October 10, 2026 and October 11, 2026. How the company lists are built.

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