Datacratic

Datacratic, founded in Montreal in 2010 by Jeremy Barnes, specialized in applying machine learning and predictive modeling to large-scale data for the advertising technology sector. Barnes, who served as the company's CTO, brought a vision of translating complex AI research into practical, industrial applications.

The firm operated on a business-to-business model, providing a software platform that enabled real-time optimization and segmentation of audiences for digital marketing. Its core business was acquired by iPerceptions on October 6, 2016, a move intended to bolster iPerceptions' audience segmentation capabilities. The acquisition integrated Datacratic's ad tech suite, including its RTB Optimizer and Audience Optimizer, into iPerceptions' offerings. One of Datacratic's key projects, the Machine Learning Database (MLDB), was spun off as a separate entity, mldb.ai, and was not part of the acquisition.

Datacratic's technology was designed to analyze real-time data streams, such as ad bid-stream data, to train predictive models continuously. These models would then inform applications like its Real-Time Bidder stack and Audience Optimizer, which generated lookalike models to enhance ad targeting. The company secured $2 million in a single seed funding round on August 7, 2012, with backing from Canadian investors BDC and Real Ventures. This capital supported its mission to provide a flexible platform for optimizing real-time marketing efforts, serving enterprise clients like Dell, Comcast, and Adobe through its partnerships with major data management platforms, including Oracle's Data Cloud.

Keywords: audience optimization, machine learning, ad tech, real-time bidding, predictive modeling, data segmentation, digital marketing, RTB optimizer, lookalike audiences, iPerceptions acquisition, Jeremy Barnes, mldb.ai, programmatic advertising, data management platform, ad campaign performance, big data analytics, customer analytics, viewability predictor, yield optimizer, Oracle Data Cloud integration