Resonate Launches rAI, An AI Modeling Infrastructure
rAI's predictive models are fine-tuned to dynamically generate scaled consumer data.
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Resonate, a provider of consumer data and intelligence, is introducing rAI, an artificial intelligence modelling infrastructure that transforms vast sums of raw data into rich, continuously updated attributes to depict a comprehensive understanding of 230 million consumers.
rAI generates the Resonate Elements consumer data set, with more than 14,000 rich, relevant attributes for 230 million consumer profiles, and can model data to meet any company requirement. It helps companies understand many dimensions of the U.S. consumer.
rAI’s predictive models are fine-tuned to dynamically generate scaled consumer data. Additionally, rAI includes a multi-sourced identity graph to align Resonate data to consumers and their related devices.
rAI consumes the following three types of data:
- Real-time consumer behavioural data, including more than 30 billion daily deterministic consumer observations;
- Offline consumer data, providing additional understanding of consumer and household demographics; and
- Resonate’s proprietary ground truth, data from the largest U.S. consumer study combined with respondents’ online behaviours.
“rAI is the pinnacle of predictive neural networks, leaving other data companies in its wake. Our data science and engineering teams have devoted more than a decade to perfecting rAI’s modelling capabilities, ensuring a level of precision unparalleled in the industry. The speed, accuracy, and vast scale of Resonate data are simply unmatched,” said Bryan Gernert, CEO of Resonate, in a statement.
“Gone are the days when brands and agencies had to settle for outdated, cookie-cutter, third-party data from our competitors. rAI delivers data that is rich, relevant, and privacy-safe, including the epitome of consumer-decision criteria combined with consumer intent. With this power in their hands, businesses can seize opportunities and drive unprecedented growth.”
