For marketing analysts and RevOps teams, Windsor.ai is a marketing data pipeline that connects ad platforms and analytics tools to your data warehouse or BI tool, unifying spend and performance data for reporting and analysis.

Presence & Market Position

SOV Score

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Windsor.ai is working to become the data-access layer connecting fragmented marketing systems to analytics tools, warehouses, and AI assistants. Its practitioner conversation footprint remains early, so recent visibility comes primarily from product expansion rather than recurring third-party workflow discussion. The company continues adding commerce, advertising, search, and CRM connectors while extending Windsor MCP from natural-language analysis into selected write actions. That progression moves Windsor.ai beyond scheduled reporting toward a shared data layer where analysts and agents can inspect cross-channel performance and act on campaign systems.

Related brands
Customers

Victorinox, Lastminute.com, iProspect, KEF, Kueski, Cognita, Grain Group, Bonuscard.ch

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Business Profile

Established in the late 2010s, Windsor.ai is a 20-person marketing-data company that connects advertising, commerce, CRM, and analytics sources to reporting and warehouse destinations. It joined the team.blue ecosystem in 2026, with Windsor.ai’s management continuing to run day-to-day operations. Team.blue gains a data-integration product for its European SMB portfolio, while Windsor.ai gains broader distribution and product support. The company continues under its existing brand, serving agencies, analysts, and businesses that need accessible cross-channel data pipelines and attribution.

Founded
2018
Employees
20
Status
Acquired
Scale stage
Startup
GTM Categories
SaaS for GTMGTM InfrastructureAdvertising

Agent Readiness

84A
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Windsor.ai’s agent strategy centers on its hosted MCP server. Agents can query live marketing, analytics, CRM, commerce, and warehouse data across more than 350 connectors, build cross-channel analyses, and generate reports. Current write actions also support selected campaign, budget, bidding, and publishing operations across connected advertising platforms. The same MCP endpoint works with multiple compatible assistants and coding environments.

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