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Distributional Co-Founder & CEO Scott Clark

Scott Clark is Co-Founder and CEO of Distributional, the enterprise AI testing platform designed to give multi-functional teams confidence in AI reliability. Distributional deepens AI testing, automates test creation and calibration, and allows organizations to reduce operational risk by standardizing testing throughout the lifecycle of all their AI-enabled applications.

Scott was previously the Co-Founder and CEO of SigOpt, an enterprise AI optimization platform. After selling SigOpt to Intel in 2020, Scott was VP of AI and HPC engineering within the Supercomputing organization. Prior to SigOpt, Scott worked and performed research at various technology companies, universities, and national labs around the world.

Scott holds a PhD in Applied Math and MS in Computer Science from Cornell University and BS degrees in Mathematics, Physics, and Computational Physics from Oregon State University. Scott was named to the Forbes 30 under 30 for enterprise tech in 2016.

Distributional

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Distributional is building the modern enterprise platform for consistent, adaptive and reliable AI testing. Unlike traditional software testing, AI testing needs to be done consistently over time on a meaningful amount of data. Enterprise CIOs, CTOs and AI product teams use Distributional to proactively and continuously identify, understand and address AI risk before it harms their customers. Notable backers include Two Sigma Ventures, Andreessen Horowitz, Operator Stack, SV Angel, Two Sigma Investments, Willowtree Investments and dozens of AI leaders. Distributional was founded in September 2023 by a team with experience building, optimizing, and testing AI systems at Bloomberg, Google, Intel, Meta, SigOpt, Slack, Stripe, Uber and Yelp.

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