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Leaders who know how to win choose DigitalKin’s Causal Engineering AI to get results.




















DigitalKin's AI turns specialists’ expertise into concrete results.
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Top specialists teams use DigitalKin for
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"After MIT training and embedding AI into my vaccine research at EdJen Biotech, DigitalKin's literature-review Kin was a revelation, rigorous, publication-grade intelligence, not generic output. So I went further: I'm now building Kin SAB with DigitalKin, the world's first AI-powered Scientific Advisory Board assistant, delivering hallucination-free intelligence when it matters most."
Guillaume Leroy
Founder of GLS Advisory and CEO of EdJen Biotech
Global Life Science (GLS) Advisory

"For several years, we've been exploring how AI can enrich our expertise. With SpoK PME, we're taking the next step: making brand strategy accessible to SMEs and startups. We chose DigitalKin because their platform is the only one that lets us encode our real methodology into a high-level AI service, not just wrap a chatbot in our brand."
Karine Jamroszczyk
Head of Strategic Planning
Nikita

"I've spent years at the crossroads of research and business, and I know what a rigorous literature review demands. When I saw what DigitalKin's technology could do, not generate generic summaries, but actually search, filter and structure with real methodological discipline, I knew this was worth putting my name behind."
Léa Bunnens
PhD in Management Sciences, R&D Consultant

"I spent years helping companies design their business models. When we built DigitalKin, I realized the experts we onboard face the same question I used to answer as a consultant: where's my best opportunity? So I built a Kin that does it."
Sébastien Deschaux
Chief Science Officer - Business Design expert
DigitalKin
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Helping experts amplify their impact and businesses access the best delivables.
Time saved
x10
User reach potential
x100
Revenue target per service
30K€/mois
Users already served
+12 000
Time to deliverable
~1h
User satisfaction
95%
AI that builds its own world model and reasons on it.
For years, AI has forced a choice: scale a model that predicts but can't reason, or hand-build a world model that reasons but can't scale We don't choose. Our AI constructs its own formal causal model — from your goal — and then reasons on it.
Learn more
It writes its own model
No human bottleneck. Your goal bounds it to only what matters, and what you can actually change.
It reasons causally
Predicts consequences forward. Works backward from any outcome to engineer the path there. Simulates. Verifies.
It knows what it doesn't know
Where it understands, it designs the solution. Where it doesn't, it designs the experiment — so it sharpens the more you use it.