TruEra raises $35M for its AI analytics and monitoring platform

TruEra raises $35M for its AI analytics and monitoring platform

2 years ago
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https://techcrunch.com/2022/03/16/truera-raises-35m-for-its-ai-analytics-and-monitoring-platform/

TruEra, a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. Existing investors Greylock Partners, Wing Venture Capital (which led its $12 million Series A round in late 2020), Harpoon Ventures, Conversion Capital, the Data Community Fund, as well as new investors Forgepoint Capital and the B Capital Group’s Ascent Fund also participated in this round. In total, TruEra has now raised $42.3 million.

“We believe that the next big challenge in AI is the quality challenge,” TruEra CEO and co-founder Will Uppington said. “AI is at an inflection point: lots of opportunities but also a lot of challenges to make AI actually work in the enterprise. And we think that’s the major issue that’s preventing AI systems from getting into real-world use and actually delivering on KPIs.”

TruEra raises $35M for its AI analytics and monitoring platform

Mar 16, 2022, 1:34pm UTC
https://techcrunch.com/2022/03/16/truera-raises-35m-for-its-ai-analytics-and-monitoring-platform/ > TruEra, a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. Existing investors Greylock Partners, Wing Venture Capital (which led its $12 million Series A round in late 2020), Harpoon Ventures, Conversion Capital, the Data Community Fund, as well as new investors Forgepoint Capital and the B Capital Group’s Ascent Fund also participated in this round. In total, TruEra has now raised $42.3 million. > “We believe that the next big challenge in AI is the quality challenge,” TruEra CEO and co-founder Will Uppington said. “AI is at an inflection point: lots of opportunities but also a lot of challenges to make AI actually work in the enterprise. And we think that’s the major issue that’s preventing AI systems from getting into real-world use and actually delivering on KPIs.”