Kubient
Provides a transparent programmatic advertising exchange with integrated real-time fraud detection, eliminating the need for multiple intermediaries and third-party verification services.
Last updated Jul 21, 2026 by the ATDb Editorial Team
At a glance
- Employees
- 11-50
- Funding
- $20M
- Revenue
- $1M-$5M
- Stock
- KBNT
About
Small independent programmatic exchange with fraud prevention focus
Kubient operates a cloud-based programmatic advertising platform called Audience Cloud that combines demand-side platform (DSP) and supply-side platform (SSP) capabilities with built-in ad fraud detection and prevention. The company positions itself as providing transparency and efficiency in the programmatic advertising ecosystem by addressing fraud and intermediary inefficiencies that plague digital advertising. Kubient's platform leverages proprietary technology to detect and prevent ad fraud in real-time while facilitating programmatic transactions between advertisers and publishers. The company went public via reverse merger in 2020 and has focused on serving mid-market advertisers and publishers who need programmatic capabilities with fraud protection. Kubient has faced significant operational and financial challenges in recent years, including delisting from Nasdaq and operational restructuring. The company's technology stack is built on cloud infrastructure and incorporates machine learning for fraud detection. Kubient has attempted to differentiate itself through its integrated approach to fraud prevention rather than requiring third-party verification services, though it operates in a highly competitive programmatic advertising market dominated by larger players like Google, The Trade Desk, and Amazon.
Business model
Marketplace
Target market
Mid-Market
What they offer
Audience Cloud
Cloud-based programmatic advertising platform combining DSP and SSP functionality with integrated fraud prevention
Fraud Detection Engine
Real-time ad fraud detection and prevention system built into the platform
KAI (Kubient Artificial Intelligence)
Machine learning-based system for fraud detection and traffic quality analysis
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2017 · Founded