Liqwid
Liqwid enables privacy-compliant, cookieless advertising by applying AI-driven semantic analysis to web content, delivering precise contextual targeting and brand safety without relying on user data.
Last updated Jul 24, 2026 by ATDb automated enrichment
At a glance
- Employees
- 1-50
About
Emerging contextual intelligence provider focused on cookieless targeting and semantic content analysis for programmatic advertising
Liqwid is a contextual intelligence and semantic targeting company that leverages artificial intelligence and natural language processing to analyze page-level content signals at a granular level. By moving beyond third-party cookie dependence, Liqwid provides advertisers and publishers with privacy-compliant targeting solutions built around the actual meaning and context of web content rather than user behavioral profiles. Its platform classifies content for brand safety, generates contextual segments, and supports audience modeling without relying on personally identifiable information. The platform is designed to integrate seamlessly into existing programmatic advertising infrastructure, connecting with major supply-side platforms (SSPs) and demand-side platforms (DSPs). This positions Liqwid as a practical solution for the industry's transition to cookieless advertising, offering a drop-in contextual layer that can enhance targeting precision while maintaining compliance with evolving privacy regulations such as GDPR and CCPA. Liqwid operates in a competitive but growing segment of the AdTech market alongside players like Peer39, Grapeshot (Oracle), and Comscore. Its differentiation lies in the depth of its semantic analysis and the granularity of its contextual taxonomy, appealing to publishers seeking better monetization and advertisers seeking brand-safe, relevant placements in a post-cookie world.
Business model
SaaS
Target market
Enterprise
What they offer
Contextual Segments
Pre-built and custom contextual audience segments derived from real-time semantic analysis of page content
Brand Safety Classification
AI-powered classification of content to ensure ads appear in brand-safe environments aligned with IAB and GARM standards
Semantic Targeting Engine
NLP-based engine that analyzes page-level content signals to enable granular, cookieless audience targeting
Audience Modeling
Privacy-first audience modeling built on content affinity signals rather than user behavioral data
SSP/DSP Integrations
Pre-built integrations with major programmatic platforms enabling seamless activation of contextual data
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes