Cognitiv, the First Self-Learning, Fully Automated Neural Network Technology Available for Marketers, Announced Its NeuralMind Platform Has Won Best Overall Technology for Programmatic Trading at the Annual Drum Digital Trading Awards

Cognitiv, the first self-learning, fully automated neural network technology available for marketers, announced its NeuralMind platform has won Best Overall Technology for Programmatic Trading at the Annual Drum Digital Trading Awards held in New York City on November 1.

“We are elated and honored to have been recognized by The Drum as the best technology for programmatic trading,” said Jeremy Fain, CEO and co-founder of Cognitiv. “This category was extremely competitive, with more entries than any other, especially from larger programmatic players. This award not only proves the power of Cognitiv’s NeuralMind platform, but represents a solid shift in how AI can better serve marketers. We look forward to working with more companies to improve ROI, better predict customer behavior and more accurately target potential customers.”

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The Drum Digital Trading Awards recognize the most innovative companies in the programmatic and adtech industry. Judges noted Cognitiv’s entry was the most comprehensive and backed with the strongest case studies. This news comes on the heels of the company having recently won Digiday’s Technology Award for Best Mobile Marketing Platform.

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Cognitiv trains neural networks to recognize and predict patterns that ensure the deep learning algorithm is tailored to a brand’s needs and audience. As it learns more about consumers’ behaviors, NeuralMind is continuously being optimized to better predict their preferences and future actions. Measurable KPIs, such as conversions, test-drive signups, purchases, website visits, and store visits, can be turned into algorithms that identify new customers or drive incremental sales from existing customers more effectively than traditional manual efforts.

Cognitiv’s capabilities include custom look-alike modeling, full bidding into RTB marketplaces, offline CRM scoring, mobile application revenue optimization, and keyword optimization.

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