On September 16, 2025, the MEDEF Auvergne-Rhône-Alpes gathered 2,000 business leaders at La Sucrière in Lyon for "Ça Match," its flagship innovation event. Among the speakers: Emmanuel Théry, CEO and cofounder of DigitalKin, the Lyon-based startup pioneering agentic AI for high-stakes professional work.
The standardization risk
As AI adoption accelerates, a paradox is emerging. The more companies rely on the same generic AI tools, the more their outputs, analyses and decisions start to look alike. For organizations whose competitive advantage lies in proprietary methods, specialized knowledge or unique expertise, this convergence is a strategic threat.
"The question is no longer whether AI will transform our businesses, but how to prevent it from making them all identical," Théry told the audience.
Kins: AI that amplifies singularity instead of erasing it
DigitalKin's approach stands in direct contrast to generic AI. Its Kins are multi-agent systems designed to reproduce and amplify the methods specific to each expert and each organization. Rather than applying a one-size-fits-all model, every Kin is configured with the client's own ontology: their vocabulary, their methodology, their decision criteria, their quality standards.
"Our Kins don't replace human expertise. They multiply it," Théry explained. "A Kin without real expertise behind it is just another chatbot. A Kin carrying your methodology becomes something no competitor can replicate."
Already adopted by leading organizations
DigitalKin counts among its early clients companies such as Boiron laboratories and a major household appliance manufacturer. These organizations report a significant multiplication of their capacity to produce complex strategic documents, while maintaining or improving their usual quality standards.
A humanist vision of AI
A winner of the French Tech Seed program and member of NVIDIA Inception, DigitalKin asserts an exacting and humanist vision of AI. In a landscape where fears of skill loss and thought standardization are growing, the company offers a clear response: build AI agents that valorize internal specificities rather than erase them.
The technology is built on three principles: full configurability by the user, complete traceability of every action, and human validation at every critical step. The result is AI that professionals can endorse and stand behind.
