Blask Launches AI-Driven Market Analytics Tool for iGaming
Blask, an iGaming analytics company, has unveiled a new AI-based market analytics tool designed to support operators, affiliates, and platform providers in evaluating market and performance data.
The tool aims to enhance brand marketing strategies by offering detailed insights and comprehensive market assessments.
Founders and Core Offering
Co-founded by Dmitry Belianin and Max Telsa, Blask provides the Blask Index, which leverages extensive search data to deliver an in-depth overview of the iGaming market.
This includes assessing market size and individual brand shares within specific countries, thereby offering valuable insights into the industry’s overall health and market sentiment.
Additional Analytical Tools
In addition to the Blask Index, the company offers several other analytical tools designed to help businesses benchmark their performance against competitors, identify areas for improvement, and explore new expansion opportunities. These tools include:
- Relative Market Share
- Market Dynamics
- Gross Gaming Revenue (GGR) Prediction
Dmitry Belianin, Co-Founder of Blask, expressed enthusiasm for the launch, stating, “We are excited to introduce Blask to the iGaming industry. This is the product that I wish I had access to when I acted as the CMO of a leading iGaming company. The clarity it provides leaders to make informed decisions can drive significant GGR increases.”
Strategic Partnerships and Early Adopters
Blask has formed strategic partnerships with Yolo Investments and Oakvale Capital. Early adopters of the product include well-known entities such as Sportingtech, BC.Game, bet365, and Already Media, highlighting the tool’s immediate impact and acceptance in the market.
Blask’s analytics platform is powered by two advanced AI models: Computer Vision and Natural Language Processing (NLP). These models collectively analyze over one billion data points from 450 active brands. The Computer Vision model boasts a 91% accuracy rate in identifying and classifying iGaming-related websites. Concurrently, the NLP model is fine-tuned to comprehend the specific language and terminology of the iGaming industry, supporting multiple languages.
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