Case Study: Doctolib achieves AI-first internal transformation with Dust

Why Doctolib's VP of Data & AI stopped internal development to buy Dust

Doctolib, a healthcare company with over 1,000 employees, faced a strategic challenge after the successful pilot of its internally developed AI tool, DoctoGPT. The high demand and influx of feature requests revealed that maintaining a frontier AI platform would be an unsustainable drain on engineering resources, pulling focus away from their core healthcare mission. The Vice President of Data & AI needed to decide between building these extensive internal AI capabilities or buying an external solution from a vendor like Dust.

The company chose to implement the Dust platform, outsourcing its AI infrastructure. This solution provided Doctolib with immediate access to advanced, secure, and compliant AI features without the burden of internal development and maintenance. By partnering with Dust, Doctolib freed its technical teams to concentrate entirely on healthcare innovation, successfully rolled out AI to all 3,000 employees, and gained predictable scaling with access to continuous innovation from Dust.

Doctolib

Nacim Rahal

Vice President of Data & AI