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§ Private Profile · San Mateo, CA, USA
SaaS data management platform (DMP) for digital advertising, combining media and audience data to optimize ad campaigns.
Aggregate Knowledge has raised $66.1M across 8 funding rounds.
Key people at Aggregate Knowledge.
Aggregate Knowledge was founded in 2005 by Paul Martino (CEO and Founder).
Aggregate Knowledge has raised $66.1M in total across 8 funding rounds.
Based in San Mateo, California, Aggregate Knowledge was founded in 2005 by Paul Martino and Chris Law to provide a software as a service data management platform for digital advertising. The company enabled enterprise advertisers, media agencies, and publishers to combine audience data to optimize ad targeting through its Media Intelligence and Audience Discovery platforms. Serving major corporate customers like the Washington Post and Overstock.com, the enterprise generated revenue through platform licensing and cost savings fees based on media spend. Before its acquisition, the business scaled to 73 employees while raising $68.26 million in total venture capital funding from prominent investors including Kleiner Perkins, First Round Capital, and DAG Ventures. In October 2013, information services company Neustar acquired Aggregate Knowledge for a $119 million valuation to integrate the technology into its marketing solutions suite.
Key people at Aggregate Knowledge.
Aggregate Knowledge was founded in 2005 by Paul Martino (CEO and Founder).
Aggregate Knowledge has raised $66.1M in total across 8 funding rounds.
Aggregate Knowledge's investors include Foundation Capital, Pritzker Group, Bridge Bank, Lucinda Stewart, DAG Ventures, Kleiner Perkins, Randy Komisar.
Aggregate Knowledge has raised $66.1M across 8 funding rounds. Most recently, it raised $3.0M Series U in March 2013.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2013 | $3M Series U | — | Foundation Capital, Pritzker Group | Announced |
| Feb 1, 2013 | $11M Series E | — | Foundation Capital, Pritzker Group | Announced |
| Nov 27, 2012 | $10.6M Venture Round | — | — | Announced |
| Feb 24, 2010 | $2.5M Debt Financing | Bridge Bank | — | Announced |
| Jan 1, 2010 | $9M Series C | Lucinda Stewart | Pritzker Group, DAG Ventures, Kleiner Perkins | Announced |
| Apr 1, 2007 | $20M Series B | DAG Ventures | Pritzker Group, Kleiner Perkins | Announced |
| Dec 11, 2006 | $5M Venture Round | Randy Komisar | — | Announced |
| May 1, 2006 | $5M Series A | — | Pritzker Group | Announced |
Aggregate Knowledge is a media intelligence company that developed a Media Intelligence Platform (MIP), a SaaS solution combining media and audience data to enable marketers, agencies, advertisers, trading desks, DSPs, SSPs, publishers, and developers to optimize campaign analytics, allocate media budgets for greater reach, and drive higher sales.[1][2][3] It served the ad tech ecosystem by providing actionable insights into audience performance and multi-touch attribution, addressing the challenge of managing big data in digital advertising to make media spending more intelligent and effective.[2][3][4] Founded around 2005-2006 with headquarters in San Mateo, California, the company raised $68.26M before being acquired by Neustar in October 2013 for $119M, after which it operated as a Neustar service focused on predictive analytics and data management.[1][2][4]
Aggregate Knowledge emerged in the mid-2000s amid the rise of digital advertising and big data challenges, founded in 2005 (per CB Insights) or 2006 (per other records), with its base in San Mateo, California.[1][2][3] Specific founders are not detailed in available records, but the company quickly positioned itself as a technology-driven player, maintaining a 70/30 ratio of engineering/product investment to other operations to tackle scalable data problems in ad platforms.[3] Early traction built through innovation in media intelligence, filing 17 patents in areas like network file systems, bridge systems, and computer network security, which supported its core MIP offering.[2] By 2012, foundational work was complete, setting up 2013 for execution and international expansion into APAC; that year, Neustar acquired it for $119M, integrating it into a broader suite for real-time information services in marketing and advertising.[2][3][4]
Aggregate Knowledge stood out in the ad tech space through these key strengths:
Aggregate Knowledge rode the early 2010s ad tech wave, capitalizing on exploding digital media volumes, the need for data-driven personalization, and the shift from siloed to interoperable platforms amid big data proliferation.[3] Its timing was ideal post-2005 founding, as marketers grappled with audience fragmentation across channels, making MIP's multi-touch attribution and predictive analytics a force multiplier for efficiency in a market favoring DSPs, SSPs, and real-time bidding.[1][2][4] By partnering with giants like IBM and serving top enterprises, it influenced the ecosystem toward "intelligent media"—prioritizing actionable interoperability over raw data dumps—paving the way for modern DMPs and CDP evolution, even as competitors like Oracle, Adobe, and Google dominated.[3][4] Post-acquisition, as a Neustar service, it amplified neutral data providers' role in advertising's shift to privacy-focused, audience-centric strategies.[4]
Post-2013 Neustar acquisition, Aggregate Knowledge's MIP tech likely evolved within Neustar's $595M+ revenue ecosystem (as of 2025 records), fueling ongoing media intelligence for a shrinking team of ~3-73 employees, amid ad tech consolidation.[1][2][4] Looking ahead, its legacy in scalable audience analytics positions it (or Neustar successors) to thrive in cookieless futures, AI-driven personalization, and enterprise-grade attribution, as trends like real-time data exchanges and privacy regs reshape marketing.[3][4] Influence may grow via integration into larger platforms, emphasizing engineering-led interoperability to help advertisers navigate fragmented channels—echoing its founding thesis of turning big data into real, scalable answers for media intelligence.[3]
