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

INSUBCONTINENT EXCLUSIVE:
Machine learning is a complex process
You build a model, test it in laboratory conditions, then put it out in the world
with a new platform to help you monitor machine learning models in production.The company also announced it had closed a $3.3 million seed
round, which closed in August.Arthur CEO and co-founder Adam Wenchel says that Arthur is analogous to a performance-monitoring platform like
almost always
model-monitoring tool last week as part of SageMaker Studio
IBM also announced a similar tool for models built on the Watson platform earlier this year, but Wenchel says the involvement of the big
funding, it was co-led by Work-Bench and Index Ventures, with participation from Hunter Walk at Homebrew, Jerry Yang at AME Ventures and
others.Jonathan Lehr, a general partner at Work-Bench, sees a company with a lot of potential
model behavior in production
York City, currently has 10 people
It launched in 2018, and has been heads-down working on the product since
Today marks the release of the product publicly.