Scalarr, a Delaware-based machine learning-based ad fraud prevention company raised $7.5m in Series A funding.
The round was led by the European Bank of Reconstruction and Development (EBRD), with participation from TMT Investments, OTB Ventures, and Speedinvest.
The company intends to use the funds to expand its presence and operations in Asia.
Co-founded in 2016 by Inna Ushakova (co-founder and CEO) and Yuriy Yashunin (co-founder and CPO), Scalarr is a premium machine learning based anti-fraud solution that analyses impressions, click, install, and post-install data to detect ad fraud and prevent marketing losses. Its solutions helps mobile marketers and app developers detect and mitigate all types of fraud regardless of their level of complexity, and detect new fraud types based on exhaustive research.
With the recent announcement of its DeepView anti-fraud product, the company analyses billions of data points to help Ad Exchanges, demand-side platforms (DSPs) and supply-side platforms (SSPs,) detect even the slightest anomalies in connected TV (CTV)/ over the top (OTT), web, and mobile traffic.
This year, Scalarr introduced the Scalarr Prevention Layer, a pre-bid ad fraud service that enables clients to stop fraud before bidding on impressions.
The company has offices in San Francisco, Kharkiv, and Kyiv.