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Top 4 Data Clean Room Software Companies (November 2026)

As of November 2026, Latka tracks 4 data clean room software companies. They have combined revenues of $14.3M and employ 135 people. They have raised $31.4M.

Every company below sells data clean room software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Data Clean Room Software Companies do

Data Clean Room Software provides a secure environment for multiple organizations to share and analyze their first-party data collaboratively while maintaining privacy and data ownership. This software allows companies to combine disparate data sources without exposing sensitive information, enabling deeper insights and analytics across various sectors such as advertising, marketing, and healthcare. Common use cases for data clean rooms include joint marketing campaigns, data analysis for product development, and compliance with data privacy regulations. Typical features of data clean room software include data anonymization, secure data sharing protocols, analytics tools, and access controls that ensure only authorized users can interact with the combined datasets. Buyers often include data analysts, marketing teams, and compliance officers from organizations looking to maximize the value of their data while adhering to strict privacy standards.

Companies
4
Revenue
$14.3M
Funding
$31.4M
Employees
135

Filters

Sorting: Highest -> Lowest

Filters

Top Data Clean Room Software Companies by revenue

Showing 4 of 4 companies ranked by annual revenue.

1Duality Technologies logo
Duality Technologies

Hoboken, New Jersey, United States

Duality's breakthrough innovative technologies eliminate the conflict between data protection and business growth and innovation. The Duality Data Analytics and AI platform is built upon advanced encryption methods, hardware technologies, and machine learning techniques that protect sensitive data while in use. Duality is the only multi-PET platform with the ability to combine various technologies to meet the unique needs of sensitive data operations. These guardrails streamline and enhance the data operations critical for data-driven insights and innovations by eliminating bulky, expensive, and limiting processes like data anonymization and tokenization. Traditional data protection methods prevent organizations from truly adopting and leveraging advanced models to their benefit, resulting in restrictive policies like "no sensitive data can be used for model training." With Duality, organizations can confidently customize 3rd party models on their own data without fear of data leaks. Model providers can scale model customization knowing that their proprietary model is never exposed to the customer, preventing competitive intelligence leaks. Financial institutions can turn their manual KYC requests into self-service operations, greatly enhancing the speed and success of these expensive requirements. The benefits of data protection guardrails span from efficiency gains, to unlocking previously inaccessible data, to slashing costs on high-security infrastructure.

Revenue
$5.6M
Year founded
2016
Team size
51
2BaseSoft Ltd., Co logo
BaseSoft Ltd., Co

Beijing, Beijing, China

Renda Jincang is a software company engaged in providing domestic data management software products and services.

Revenue
$4.3M
Year founded
1999
Funding
$31.4M
Team size
44
3Blockgraph logo
Blockgraph

New York, New York, United States

Blockgraph is a leading privacy-centric identity and data collaboration platform designed to fuel the future of connected TV advertising. The world’s leading media, technology, and information services companies collaborate with trusted partners using Blockgraph’s privacy-focused platform to create and implement identity-based targeting and measurement solutions for multiscreen TV advertising. Blockgraph is owned by Charter Communications Inc., Comcast NBCUniversal, and Paramount. Named a 2024 Programmatic Power Player by AdExchanger, Blockgraph also received the 2023 Cynopsis Measure Up! Award for Best Advancement in Data Privacy, as well as being recognized as a finalist in multiple categories for the 2023 AdExchanger Awards. For more information, please visit Blockgraph at www.blockgraph.co.

Revenue
$3.5M
Year founded
2020
Team size
32
4Datenschmiede.ai logo
Datenschmiede.ai

Oldenburg, Niedersachsen, Germany

Datenschmiede. ai erzeugt automatisiert hohe Stammdatenqualität für Ihr Unternehmen. EXIST gefördert von 12/22 - 11/23

Revenue
$880K
Year founded
2023
Team size
8

Frequently asked questions about Data Clean Room Software Companies

How many data clean room software companies are there?

Latka tracks 4 data clean room software companies with reported revenue. Together they generate $14.3M in annual revenue and employ 135 people.

Which data clean room software company is the largest?

Duality Technologies is the largest, with $5.6M in annual revenue, founded in 2016.

How much revenue does a typical data clean room software company make?

The average data clean room software company in this list makes $3.6M a year, across 4 companies with reported revenue.

Who are the leading Data Clean Room software vendors?

Ranked by annual revenue, the leaders are Duality Technologies, BaseSoft Ltd., Co, Blockgraph and Datenschmiede.ai.

How much funding have data clean room software companies raised?

The 4 data clean room software companies tracked here have raised $31.4M in disclosed funding between them.

Related Data Privacy Software categories

Inclusion Criteria

- Must provide a secure environment for data collaboration between multiple organizations - Capable of integrating first-party data from various sources - Includes features for data privacy and security, such as encryption and anonymization - Offers analytics tools to derive insights from aggregated datasets - Not just a data storage solution; must facilitate joint analysis and collaboration