Turbine is an AI Visibility Lab

LLMs run on math. We use that math to build tools, so every marketing team can optimize for AI visibility with confidence.

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There's no ranking algorithm to appear in

Models generate answers, and brands surface based on how closely they're associated, in vector space, with the topic being asked about.

That's why prompt tracking alone doesn't move the needle: it shows you the outcome, not the position that caused it.

We work with semantic distance and embeddings directly, so you can see where your brand actually sits and close the distance that's keeping you out.

Built by Experts in Data Science and Marketing

Daria

Co-founder, Marketing Lead

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Daria brings 10 years of marketing experience to Turbine, including work with Publicis Groupe (Coca-Cola). She has successfully led marketing teams for fintech scale-ups, business tools, and mobile apps. Prior to Turbine, she founded a content marketing agency.
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Public speaker: Startup Fair, Baltic-Nordic SEO Summit, Web Summit, Digital Marketing Europe.

Cyril

Co-founder, Data Science Lead

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With 10 years of experience in applied data science and machine learning, Cyril is the architect behind Turbine’s semantic engine. He has built scoring models for high-growth fintech startups (including a Series A led by SBI) and advanced predictive models for global brands like Burger King, McCann London, and Century21.

Denis F.

Fullstack Developer

Denis has 4 years of experience specializing in AI-powered services and fintech. He drives end-to-end development at Turbine, seamlessly connecting complex backend data processes with intuitive frontend user experiences.

Denis A.

Fullstack Developer

Denis brings 6 years of development experience across enterprise, fintech, edtech, and multimedia projects. Specializing in React.js and Node.js, he ensures Turbine’s platform is fast, scalable, and built to handle massive semantic datasets.