We’ve made a lot of progress over the last year at Distributional. Since raising our seed round, we have validated the enterprise need for confidence in AI applications, grown our team, and started deploying our enterprise testing platform to address this problem in collaboration with a dozen design partners. I couldn’t be more proud of […]
What do AI leaders really think about AI today? In a three-part series, we’re sharing the insights we’ve gleaned from over 1,000 hours of conversations with AI leaders at more than 100 Fortune 500 enterprises. This first post focuses on why generative AI creates unique testing challenges.
Frances Schwiep and Vin Sachidananda from Two Sigma Ventures share how Distributional bridges the AI confidence gap
Distributional secures $19M in Series A funding and debuts the industry’s only enterprise AI testing platform
Our mission is to empower our customers to actively make their AI-based products more safe, reliable, and secure, before they deploy them. We aim to catch harm before their customers or users do
We raised $11M in funding to support our mission to make AI safe, reliable and secure.
Noah Carr from Point72 Ventures shares his take on how testing AI systems is distinct from testing traditional software, and why this requires a purpose-built solution.
Martin Casado and Matt Bornstein of a16z explain why they believe lack of confidence in AI is a critical barrier to enterprise adoption and how Distributional will solve this problem.