The team behind Bubbling

Profiles from tech, marketing and data, brought together to make what AI says about your brand readable.

Founders

Emmanuel Dollé

Co-founder — CEO

25 years spent understanding how decisions are made, including 17 years at Google and Meta across France, EMEA and the United States, before joining a French AI scale-up. He witnessed two successive ruptures: the collapse of traditional purchase funnels, then the shift of decision-making into the generated answer, before any click. He founded Bubbling to make that blind spot measurable: knowing when, why and against whom a brand is recommended inside AI conversations, and what to do about it.

Before Bubbling: Google, Meta

Jean-Baptiste Sicard

Co-founder — Chief Operating Officer

An entrepreneur, he founded Funds360, a European database on investment funds, which he built over nine years before selling it to the Euronext group in 2022. Since then he has supported entrepreneurs in their growth and structuring: Ledgity, Iceblock, Les Experts du Patrimoine, which he co-founded, among others. At Bubbling he leads finance, company structuring and strategic partnerships, with one constant conviction: what isn't measured doesn't exist, and AI conversations are no exception.

Before Bubbling: Funds360 (sold to Euronext, 2022)

Christoph Stadeler

Co-founder — Chief Growth Officer

He shapes Bubbling's strategy: which markets to address, which questions to ask the models, and how to turn a generated answer into a decision a marketing leadership team can act on. His conviction: visibility inside AI answers is never decreed: it is measured, benchmarked against competitors and built over time.

Team

Ludovic Cravoisier

Lead tech

He owns the platform's backend architecture and its measurement chain: multi-turn conversation generation, citation extraction, and methodology versioning so that indicators stay comparable from one cycle to the next. He also leads the platform's expansion to new models (Claude, Mistral, Grok, Perplexity) and to German, ahead of the DACH markets. Trained at 42 Paris, he cut his teeth at Celena AI on document pipelines where reliability comes before everything else. His conviction: the challenge is not generating many conversations, but building a measurement chain whose results stay reproducible and comparable over time.

What drives us

Methodological rigour

Full conversations, documented personas, reproducible measurements. No proxies, no approximations.

FR-EU data sovereignty

Data hosted and processed in Europe, compartmentalised per client. Confidentiality is a design constraint.

Transparency

Our methods, sources and limits are explicit. You always know where a number comes from.

Take back control of your AI visibility

Get a preliminary diagnostic of your presence inside generative AI answers.

Join us