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Founded in 2012, AdTheorent is a digital media platform which focuses on performance-first, privacy-forward methods to execute programmatic digital advertising campaigns, serving both advertising agency and brand customers.

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Filing date Description Form View

A preliminary proxy statement providing notification matters to be brought to a vote

 PRE 14A View HTML
0000950170-23-011405.pdf
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Form of prospectus disclosing information facts events covered in both forms 424B1 424B3

 424B4 View HTML
0001193125-23-072870.pdf
0001193125-23-072870.rtf
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Post-effective amendment to an S-Type filing

 POS AM View HTML
0001193125-23-071526.pdf
0001193125-23-071526.rtf
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EFFECT

 EFFECT View HTML
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Report of unscheduled material events or corporate event

 8-K View HTML
0000950170-23-008139.pdf
0000950170-23-008139.rtf
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EX-101.SCH - XBRL TAXONOMY EXTENSION SCHEMA

Securities offered to employees pursuant to employee benefit plans

 S-8 View HTML
0001193125-23-071480.pdf
0001193125-23-071480.rtf
0001193125-23-071480.xls

An amendment to a SC 13D filing

 SC 13D/A View HTML
0001140361-23-011425.pdf
0001140361-23-011425.rtf
0001140361-23-011425.xls

Post-effective amendment to an S-Type filing

 POS AM View HTML
0001193125-23-058477.pdf
0001193125-23-058477.rtf
0001193125-23-058477.xls

Report of unscheduled material events or corporate event

 8-K View HTML
0000950170-23-005828.pdf
0000950170-23-005828.rtf
0000950170-23-005828.xls
EX-101.LAB - XBRL TAXONOMY EXTENSION LABEL LINKBASE DOCUMENT

Annual report which provides a comprehensive overview of the company for the past year

 10-K View HTML
0000950170-23-005868.pdf
0000950170-23-005868.rtf
0000950170-23-005868.xls
EX-101.LAB - XBRL TAXONOMY EXTENSION LABEL LINKBASE DOCUMENT
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Founded in 2012, AdTheorent is a digital media platform which focuses on performance-first, privacy-forward methods to execute programmatic digital advertising campaigns, serving both advertising agency and brand customers. Without relying on individualized profiles or sensitive personal data for targeting, AdTheorent utilizes machine learning and advanced data analytics to make programmatic digital advertising more effective and efficient at scale, delivering measurable real-world performance for advertisers. Central to its ad-targeting and campaign optimization methods, the company builds custom machine learning models for each campaign using historic and real-time data to predict future consumer conversion actions for every digital ad impression.

AdTheorent’s technology and solutions, conceived and developed in-house, have been recognized with numerous awards. AdTheorent’s privacy-forward targeting focus is statistical, not individualized, and as a result the company does not need to compile or maintain user profiles, and it does not rely on cookies or user profiles for targeting. Enhancing the company’s core machine learning-powered platform capabilities, the company offers customized vertical solutions to address the needs of advertisers in specialized industries. These specialized solutions feature vertical-specific capabilities related to targeting, measurement and audience validation.

AdTheorent is headquartered in New York City and has offices across the United States and Canada.