Arthur.ai Designed To Ensure Accuracy In Machine Learning Models
December 28, 2020
Most tech companies are investing their capital in designing machine learning models, but Arthur.ai decided to do something different. TechCrunch reveals Arthur.ai’s innovation in “Arthur.ai Snags $15M Series A To Grow Machine Learning Monitoring Tool.” The Arthur.ai is designed to ensure that machine learning models retain their precise accuracy over time.
Despite being fine tuned algorithms, machine learning AI needs maintenance like any other technology. Index Ventures saw the necessity of such a tool and lead a Series A round of funding with investments from Homebrew, AME Ventures, Workbench, Acrew, and Plexo Capital:
“Investor Mike Volpi from Index certainly sees the value proposition of this company. “One of the most critical aspects of the AI stack is in the area of performance monitoring and risk mitigation. Simply put, is the AI system behaving like it’s supposed to?” he wrote in a blog post announcing the funding.
Arthur.ai has doubled its employees since it was a startup and founder and CEO Adam Wenchel wants to continue expansion. AWS released a similar tool called SageMaker Clarity, but Wenchel views the potential competition as affirmation. If there are products that provide the same service that means there is a market for it. He is also not worried about larger cloud companies, because Arthur.ai will focus entirely on its maintenance tools while the larger ones are strained.
Whitney Grace, December 28, 2020
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