UnitQ raises $11 million to spot bugs in user reports with natural language processing

Courtesy of VentureBeat

As of early 2018, only 21% of bugs found during software testing were fixed immediately, according to Statista. Christian Wiklund, David Eklov, and Niklas Lindstrom believe AI and machine learning could substantially boost this number. Together they founded  UnitQ, whose product ingests omni-channel user feedback in any language to identify, quantify, and prioritize product bugs. To launch the service out of beta, the startup this week raised $11 million in series A funding, the bulk of which CEO Wiklund says will go toward new and existing product development.

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