Patch was looking to scale its climate expertise in its go-to-market process. With the help of Dust, they unlocked valuable data, boosted knowledge in sales calls, and gave teams faster access to expert-level insights.  The world's largest companies hold immense potential to impact climate change with the trillions

As Persona scaled, engineers were drowning in questions, sales reps in RFPs, and solutions engineers in internal document creation. Dust’s PersonaEngineer agent became the wedge solution to unblock the organization. Since launching in 2018, Persona has been at the forefront of identity verification. Now, with a $200 million Series

Watershed is an enterprise sustainability platform used by companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. Based in San Francisco, Watershed has been experimenting with AI since its

Mirakl was founded in 2012 by serial entrepreneurs Adrien Nussenbaum and Philippe Corrot to help companies build and scale third-party marketplaces—effectively creating the “marketplace software" category in Europe and beyond.  Innovation is core to Mirakl's DNA, so when AI emerged as a transformative force, the company

This is the last article in a four-part series exploring how Doctolib successfully rolled out Dust across 3,000 employees. This piece provides the tactical playbook for executing AI adoption across 3,000 employees—what worked, what didn't, and lessons learned along the way. * WHO: Implementation leaders and

This is the third article in a four-part series exploring how Doctolib successfully rolled out Dust across 3,000 employees. This piece explains how their CISO managed deployment risks and reflects on challenges raised with Enterprise AI. * WHO: CISOs and Security Leaders managing AI deployment risks * PAIN: Balancing AI innovation

This is the second article in a four-part series exploring how Doctolib successfully rolled out Dust across 3,000 employees. This piece explains why their VP of Data & AI decided to stop internal development of their 'DoctoGPT' solution to migrate to a fully-deployed Dust. * WHO: CTOs and

This is the first article in a four-part series exploring how Doctolib successfully rolled out Dust across 3,000 employees, covering everything from cultural transformation and strategic decision-making to security implementation and tactical execution. This piece explains why their C-suite decided to make AI company-wide adoption a strategic priority. * WHO: