Resources

Adaptive testing for AI confidence

While confidence may be hindering AI progress at your organization, there is hope. The answer lies in adaptive testing.

Alex Gutow

March 17, 2025

Bridging the AI Confidence Gap with adaptive behavioral testing

To unlock the full potential of AI, you need to be confident in your apps’ behavior from development to deployment to continued usage.

Alex Gutow

March 5, 2025

What is Distributional? Explaining AI behavior through the language of statistical distributions

Insight into how Distributional acts as an interpreter for AI, allowing product teams to statistically define consistency of AI application behavior.

Kembey Gbarayor

February 26, 2025

The rise of AI platforms

Here’s what’s different about the new enterprise AI platform.

Nick Payton

February 19, 2025

Driving confidence in AI: Foundational distributional testing explained through a RAG example

When it comes to RAG applications, understanding behavior doesn’t need to be a black box.

Tobi Andreasen

January 29, 2025

The AI Software Development Lifecycle: A practical framework for modern AI systems

The unique characteristics of GenAI systems demand a fresh perspective on how we build, deploy, and maintain these applications.

Erin LeDell

January 9, 2025

Erin LeDell and Bonney Pelley join Distributional

Erin LeDell and Bonney Pelley bring decades of experience across enterprise AI to meet rising demand for Distributional’s platform/

Nick Payton

November 20, 2024

Get to know Bonney Pelley, COO at Distributional

We’re excited to announce that Bonney Pelley has joined Distributional as Chief Operating Officer.

Scott Clark

November 20, 2024

Get to know Erin LeDell, Chief Scientist at Distributional

We’re excited to announce that Erin LeDell has joined Distributional as Chief Scientist.

Scott Clark

November 20, 2024

Why testing is an 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 third post focuses on why enterprise problem that requires an enterprise solution.

Nick Payton

October 31, 2024

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 second post focuses on why all ML and AI use cases need standardized testing.

Nick Payton

October 24, 2024

Why generative AI creates unique testing challenges

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.

Nick Payton

October 18, 2024

We raised a $19M Series A for enterprise AI testing

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 […]

Scott Clark

October 8, 2024

Distributional: Empowering trustworthy AI in the enterprise

Frances Schwiep and Vin Sachidananda from Two Sigma Ventures share how Distributional bridges the AI confidence gap

Nick Payton

October 8, 2024

Announcing our $19M Series A

Distributional secures $19M in Series A funding and debuts the industry’s only enterprise AI testing platform

Nick Payton

October 8, 2024

We raised $11M for better AI testing

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

Scott Clark

December 14, 2023

Announcing our seed funding to make AI safe, reliable and secure

We raised $11M in funding to support our mission to make AI safe, reliable and secure.

Nick Payton

December 14, 2023

Purpose built testing for AI

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.

Nick Payton

December 14, 2023

Addressing a critical barrier to enterprise AI adoption

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.

Nick Payton

December 14, 2023

Adaptive testing for AI confidence

Bridging the AI Confidence Gap with adaptive behavioral testing

What is Distributional? Explaining AI behavior through the language of statistical distributions

The rise of AI platforms

Driving confidence in AI: Foundational distributional testing explained through a RAG example

The AI Software Development Lifecycle: A practical framework for modern AI systems

Erin LeDell and Bonney Pelley join Distributional

Get to know Bonney Pelley, COO at Distributional

Get to know Erin LeDell, Chief Scientist at Distributional

Why testing is an enterprise problem that requires an enterprise solution

Why all ML and AI use cases need standardized testing

Why generative AI creates unique testing challenges

We raised a $19M Series A for enterprise AI testing

Distributional: Empowering trustworthy AI in the enterprise

Announcing our $19M Series A

We raised $11M for better AI testing

Announcing our seed funding to make AI safe, reliable and secure

Purpose built testing for AI

Addressing a critical barrier to enterprise AI adoption

Press

Distributional wants to develop software to reduce AI risk

Distributional raises $11M to build enterprise AI testing platform

Investing in Distributional

Testing Built for AI Software: Our Investment in Distributional