I recently found myself in a discussion with a group of ML engineers who were debating whether traditional ML development practices could transfer to GenAI applications. The conversation highlighted a crucial point: while there’s significant overlap between traditional ML and GenAI development lifecycles, the unique characteristics of GenAI systems demand a fresh perspective on how […]
Erin LeDell and Bonney Pelley bring decades of experience across enterprise AI to meet rising demand for Distributional’s platform/
We’re excited to announce that Bonney Pelley has joined Distributional as Chief Operating Officer.
We’re excited to announce that Erin LeDell has joined Distributional as Chief Scientist.
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 third post focuses on why enterprise problem that requires an enterprise solution.
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 second post focuses on why all ML and AI use cases need standardized testing.
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.
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 […]
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.