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Anomalo launches with $33M Series A to automatically find issues in data sets


As companies gather ever-growing sets of data, finding issues with that data that could impact the viability of a machine learning model becomes increasingly important. Anomalo is putting machine learning to work to help solve the data viability issue automatically.
Today the company announced a $33 million Series A investment led by Norwest Venture Partners with participation from Two Sigma Ventures, Foundation Capital, First Round Capital and Village Global.
The company was founded by two Instacart veterans who worked at solving similar problems at their previous company. Elliot Shmukler, co-founder and CEO at Anomalo, said that if you’re counting on data to run your business, any issues in that data can be problematic for …

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