Draft:Adverity
Austrian marketing data platform company
From Wikipedia, the free encyclopedia
Adverity GmbH is an Austrian software-as-a-service company that develops a cloud-based marketing data integration and intelligence platform. The company is headquartered in Vienna and has offices in London and New York.[1][2] Its platform automates the collection, transformation, and governance of marketing data from multiple sources. Gartner named Adverity a Cool Vendor in Marketing Data and Analytics in 2020.[3]
 | Review waiting, please be patient.
This may take 2 months or more, since drafts are reviewed in no specific order. There are 4,296 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Submission declined on 14 April 2026 by Pythoncoder (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |  |
Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Alexander Igelsboeck (talk) 13:21, 14 April 2026 (UTC)
History
Adverity was founded in 2015 in Vienna by Alexander Igelsböck, Martin Brunthaler, and Andreas Glänzer.[2][4] The three had previously built a price comparison technology company called Ciuvo, which they sold to German media group Heise Media.[2]
Speedinvest, AWS Gründerfonds, and Munich-based 42cap provided the first institutional funding in 2017.[4] Mangrove Capital Partners then led a €3.2 million Series A in April 2018.[5]
A €11 million ($12.4 million) Series B followed in April 2019, with Felix Capital leading alongside Sapphire Ventures and SAP.iO Fund.[1] The funding was earmarked for entering the U.S. market.[1][6]
Sapphire Ventures led the $30 million Series C in April 2020, bringing total funding to $50 million.[7][2] According to the company, annual recurring revenue had more than doubled over the prior year.[2] Clients at that point included IKEA, Red Bull, Unilever, and UBS.[8]
The largest round came in August 2021 — $120 million from SoftBank Vision Fund 2, joined by Sapphire Ventures, pushing total funding past $165 million.[9][10] Der Standard reported it as one of the largest financing rounds for an Austrian tech company that year.[11] The company reported a compound annual growth rate of 105% over the preceding four years.[10]
In September 2025, the company launched Adverity Intelligence, an AI-powered analytics layer with conversational AI and Model Context Protocol (MCP) integration.[12]
Products and services
Adverity's platform connects to more than 600 data sources spanning marketing, advertising, e-commerce, sales, and finance.[1][7] It is split into two product lines: Adverity Data, which handles connectivity, transformation, and governance; and Adverity Intelligence, an AI analytics and reporting layer launched in 2025.[12]
LLM-generated pages with the below issues may be deleted without notice.
These tools are prone to specific issues that violate our policies:
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject.
See the advice page on large language models for more information.