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Arthur

140 Crosby Street, 6th Floor, New York, 10012, United States

Overview

Arthur.ai launched in 2019 to help companies monitor models in production and has expanded its product to include explainability and bias mitigation. The company offers tooling that detects model drift, explains model outputs, and automatically adjusts outputs to meet customers' fairness constraints. Arthur.ai’s research team has published papers and the company emphasizes diversity in its research and hiring to help prevent bias in its software. The startup has grown headcount from 17 at Series A to 55 employees today. Over the last four quarters the company averaged 58% ARR growth. Recent fundraising and board additions indicate continuing investor interest and support for product and team expansion. Arthur.ai provides a monitoring tool that detects when machine learning model performance deteriorates in production and surfaces bias and other risks. The product is designed to alert data-science teams when models stop measuring what they were trained to measure, addressing drift and fairness issues. The company says demand has increased this year and points to competition/validation from AWS’s SageMaker Clarify. Arthur.ai reported 300% revenue growth over the prior six months and has 15 customers. Headcount grew from eight to 17 over the past year, and the company expects to double again by the end of next year. Leadership emphasizes diverse hiring and partnerships with groups such as AI for All and Black Girls Code as part of its hiring and culture plans. Arthur offers a platform-agnostic monitoring and explainability product for machine learning models in production, positioned as an analogue to New Relic or DataDog for models. The product tracks model performance, helps explain model behavior, and surfaces issues like bias or degradation after deployment. The company emerged from stealth with a public product launch and says its tool works across stacks, which it views as an advantage against vendor-specific offerings from AWS and IBM. Arthur was launched in 2018, is based in New York City, and currently has a 10-person team. The company recently closed a $3.3 million seed financing to support its development and go-to-market efforts. CEO and co-founder Adam Wenchel leads the company.

Total raised
$60M
Funding rounds
3
Latest round
Series B
Latest activity
Sep 2022

Industries

  • Artificial Intelligence (AI)
  • Financial Services
  • Machine Learning
  • Software
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Recent funding

  1. Series B

    Sep 2022

    $42M

  2. Series A

    Dec 2020

    $15M

  3. Seed

    Dec 2019

    $3M

Team

  • Adam Wenchel

    CEO

    LinkedIn
  • Liz O’Sullivan

    Co-Founder and VP of Commercial Operations

    LinkedIn
  • John Dickerson

    Co-founder & Chief Scientist

    LinkedIn
  • George Chitouras

    VP Engineering

    LinkedIn