AdTech Vendor · Data Provider / Broker
Anonymised vs SQREEM
Structured technology and market comparison · 2026
Direct Feature Comparison
Anonymised · vs · SQREEMPrivacy-first adtech for audience activation, optimisation and publisher yield.
Audience intelligence and programmatic activation platform for enterprise marketers.
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Comparison Analysis
What is the main difference between Anonymised and SQREEM?
When comparing Anonymised and SQREEM, both platforms operate within the Demand-Side Platform (DSP), Connected TV (CTV) & OTT, and Display Ads & Banner ecosystem. Anonymised is positioned as Privacy-first adtech for audience activation, optimisation and publisher yield, whereas SQREEM focuses on Audience intelligence and programmatic activation platform for enterprise marketers. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Anonymised and SQREEM?
When evaluating Anonymised and SQREEM, enterprise buyers also consider other platforms in Demand-Side Platform (DSP), Connected TV (CTV) & OTT, and Display Ads & Banner. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Anonymised and SQREEM compare?
Anonymised is headquartered in GB (founded in 2017) with 10–49 employees. SQREEM is based in SG (founded in 2010) with 50–200 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Anonymised vs SQREEM
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Anonymised
Recent Signals
No recent market signals documented for Anonymised in the current tracking window.
SQREEM
Recent Signals
- ·AdExchangerAI
SQREEM Appoints New CEO, Touts Behavioral Model Over LLM
SQREEM, a behavioral intelligence company, appointed Stephen Yap as its new CEO. Yap, former CRO at Perion and a long-time Google executive, will lead the company's push to market its Large Behavioral Model (LBM) as a superior alternative to LLMs for predictive analytics. SQREEM's LBM uses state-space models to analyze behavioral correlations from real-time social media and open-web data, without relying on machine learning. The company claims this approach can generate audience personas and predict consumer behavior, citing examples like the correlation between green tea consumption and travel insurance purchases. SQREEM also demonstrated the model's practical use during the Cyclospora outbreak, helping a grocer client pivot its communication strategy based on audience insights.
- SQREEM appointed Stephen Yap as its new CEO on September 23, 2026.
- Stephen Yap previously served as CRO at Perion and spent nearly two decades at Google.
- SQREEM's Large Behavioral Model (LBM) uses state-space models, not machine learning or LLMs.
Compare their exact ecosystem overlaps.
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