Distributional, a San Francisco, CA-based developer of an AI testing and evaluation platform intended to make AI risk safe, reliable, and secure. The company provides tools for continuous monitoring, generating test cases and analyzing results to ensure AI systems perform as expected, enabling customers to trust AI, ship AI products more frequently and realize the full potential impact of AI on their organization.
Distributional was funded $11 million led by Andreessen Horowitz with participation from Operator Stack, Point72 Ventures, SV Angel, Two Sigma, Willowtree Investments, and dozens of AI leaders as angel investors.
The investment is set to fuel the development of cutting-edge software aimed at minimizing potential threats associated with artificial intelligence systems. Distributional’s approach stands out for its focus on proactively managing and mitigating AI risk arising from AI advancements, a concern that has garnered increased attention in recent years.
CEO and co-founder, Scott Clark expressed his excitement about the support received, emphasizing the critical need for solutions addressing AI risks. AI holds immense promise, but it also introduces complex challenges and potential risks. At Distributional, they are committed to creating software that ensures the safe and responsible development and deployment of AI systems.
The company’s software aims to tackle a spectrum of AI-related risks, including algorithmic biases, unintended consequences, and potential threats arising from autonomous systems. By leveraging advanced algorithms and machine learning techniques, Distributional seeks to provide developers and organizations with tools to anticipate and mitigate these risks proactively.
The new capital is expected to bolster Distributional’s research and development efforts, accelerating the deployment of their software solutions. The company plans to expand its team of AI ethicists, data scientists, and software engineers to spearhead the initiative.
Clark emphasized that while AI brings unprecedented opportunities, it’s imperative to address the associated risks comprehensively. Their mission is to ensure that as AI continues to advance, it does so with a keen eye on safety, fairness, and accountability. This investment will significantly advance their progress toward achieving this goal.
By: K. Tagura
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