Arthur announces $3.3M seed to monitor machine learning model performance

Arthur wants to help, and today it emerged from stealth with a new platform to help you monitor machine learning models in production.

Arthur CEO and co-founder Adam Wenchel says that Arthur is analogous to a performance monitoring platform like New Relic or DataDog, but instead of monitoring your systems, it’s tracking the performance of your machine learning models.

Data scientists build machine learning models and test them in the lab, but as Wenchel says, when that model leaves the controlled environment of the lab, lots can go wrong, and it’s hard to keep track of that.

IBM also announced a similar tool for models built on the Watson platform earlier this year, but Wenchel says the involvement of the big guys could work to his company’s advantage since his product is platform-agnostic.

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