In France, 40% of purchasing journeys now make use of LLMs. What is Lemrock’s value proposition?
Our mission is to allow brands to appear in conversational engines in the form of sponsored content, product carousels and adverts (Lemrock does not develop apps within LLMs, Editor’s note). We mainly target B2C brands and retailers with high volume. With more than 10 million products already synchronised via our platform, Lemrock is developing proprietary models based on one of the largest conversational datasets. Our clients have large product catalogues and inventories that move in real time (prices, stocks), but they do not have the internal expertise or technical infrastructure to develop custom connectors to each LLM themselves (ChatGPT, Gemini, Perplexity, etc.). Concretely, our platform absorbs a product catalogue and connects it to LLMs thanks to open-source protocols like MCP from Google and ACP from IBM, then carries out content orchestration within the various AI engines. Lemrock is agnostic in terms of LLM, because we do not know which one will take the lead: our solution is aimed both at Big Tech (OpenAI, Gemini, Perplexity..) and at more specialized AI tools, such as AI assistants for travel and beauty.
You have been previously Director of Strategy and Innovation at Fnac Darty. Why did you create Lemrock?
E-commerce relies on advertising formats that are often intrusive, inefficient, with very low interaction rates and a significant cost for retailers and brands. I strongly believe that conversational Search radically changes the game: it finally makes hyper-personnalisation possible at scale, in a more natural and higher-performing format.
What is Lemrock’s business model?
