D
Data Clean Room Alliance
Educational alliance promoting secure and private data exchange
About Data Clean Room Alliance
Data Clean Room Alliance is an initiative founded in March 2025 to disseminate, promote, and educate on the use of Data Clean Rooms. It aims to establish itself as a benchmark in the adoption of secure and private digital environments that facilitate the responsible exchange of data. The alliance was formed in response to new regulations and the phasing out of third-party cookies by browsers, which created a need for marketers to measure, understand, and segment audiences while respecting user privacy. Data Clean Rooms provide a technological solution to this by ensuring data privacy while allowing companies to gain valuable insights without compromising security.
The founding team consists of experts in privacy and technology, including Juan Antonio Muñoz-Gallego, Monica Rodriguez, Toni Andújar, and Henry Velásquez Yanez. These founders bring a wealth of experience from various sectors such as marketing technology, artificial intelligence, data privacy law, and digital transformation. Their collective expertise is geared towards promoting privacy-by-design and positioning privacy as a strategic asset.
The alliance's primary service is educational, aiming to spread knowledge about the capabilities and benefits of Data Clean Rooms. It operates as a non-profit initiative, with a vision to be a global reference for the adoption of these solutions. The business model is not based on selling a product but on creating an ecosystem for a more transparent, secure, and efficient digital environment. They serve brands, publishers, advertisers, and other groups within companies who need to collaborate on sensitive first-party data. By promoting these secure environments, the alliance helps companies improve marketing effectiveness, build high-quality audiences, and collaborate with partners without directly sharing sensitive personal information.
Source: Dealroom company dataKnowledge graph
More headlines
Growth signals
Latest recorded traffic for Data Clean Room Alliance is 640 monthly website visits, up 814.3% over the last three months. Data Clean Room Alliance's team grew 150% over the past year.
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
| Company | Headquarters | Status | Employees | Total funding | Valuation |
|---|---|---|---|---|---|
EnigmataCryptographic platform for AI operations on sensitive data. |
Nashville, United States | Operational | 3 | $6.5M | $26M |
Kriya NativeCryptographic audit and governance for AI agents. |
— | Operational | |||
SGIT Managed IT ProviderManaged IT, cloud, and Zero Trust cybersecurity. |
— | Operational | |||
VrangrSecure AI operations on protected sensitive data. |
Palo Alto, United States | Operational | |||
Veritas - Cryptographic Trust for AI & Cloud WorkflowsCryptographic trust for AI and cloud workflows. |
York, United Kingdom | Operational | |||
Navard LLCCertified AI governance and secure computing infrastructure. |
Antelope, United States | Operational | |||
RaenorConfidential hyper-performance computing for critical sectors. |
Delaware, United States | Operational | |||
Votre Cloud à Vous - VCVTurnkey personal cloud for secure digital asset management. |
Paris, France | Operational |
Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Source: Dealroom Talent Intelligence.
Global footprint
Market sentiment
An AI-synthesised read of the highest-engagement posts about Data Clean Room Alliance on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
See Data Clean Room Alliance’s full profile on Dealroom
Request a free trial to see the complete deal history, financials, people graph and growth signals.
Takes under a minute. Already use Dealroom? Log in.







