The recognition of a French deeptech.
Explore Stern Tech news, press releases, media resources and publications covering our technologies, projects and collaborations.
Stern Tech develops a French, proprietary, next-generation behavioral AI designed to reveal weak signals, enrich human analysis and support professionals in demanding environments.
Our technologies provide analysis-support indicators. They do not replace professionals, do not provide diagnoses and do not make automated or autonomous decisions.
Stern Tech in the media
A selection of articles, interviews, rankings and events reflecting Stern Tech’s growth across deeptech, behavioral AI, mobility, wellbeing, HR and market research.
Stern Tech and Alex: behavioral AI supporting more reliable recruitment
DRH.ma — June 19, 2026
DRH.ma highlights Alex, Stern Tech’s behavioral assessment tool designed to enrich candidate analysis, structure HR evaluation and improve the match between profiles and organizations.
The article recalls that Alex results are provided as indicators intended to support recruiters’ decision-making, without automated decisions about candidates.
Read articleVivaTech 2026: Stern Tech presents Alex, its behavioral AI for recruitment
info.fr — June 19, 2026
info.fr covers Stern Tech’s presence at VivaTech 2026 and the presentation of Alex, a behavioral AI designed to support more reliable, structured and inclusive recruitment.
The solution is presented as a decision-support tool designed to assist recruiters without replacing their judgment or automating the final decision.
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Stern Tech multiplies its valuation by 50
Crunchbase — December 14, 2025
Since its first participation at CES Las Vegas in 2023, Stern Tech has multiplied its valuation by 50 through the development of four behavioral intelligence solutions: Alex, Pegasus, Shield and WiseDriver.
This growth confirms the strong potential of its technologies and positions Stern Tech among the innovative players in behavioral AI.
Read articleVivaTech 2025 — France Info
France Info
During VivaTech 2025, Stern Tech shared its vision of ethical, sovereign and human-centered behavioral AI in an interview on France Info.
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French Tech Paris-Saclay — Success Stories 2025
La French Tech — June 2025
Stern Tech is among the companies featured by La French Tech Paris-Saclay in its 2025 Success Stories edition.
The publication highlights the most innovative startups in the territory and showcases Stern Tech’s growth, technological advances and contribution to the French behavioral AI ecosystem.
Read articleStartup Autobahn 2025
Startup Autobahn
At Startup Autobahn 2025 in Stuttgart, Stern Tech presented WiseDriver, its simulator-based training support solution for automotive or aeronautical environments, with attention, vigilance and progress indicators.
This presence reaffirms Stern Tech’s commitment to safer, smarter and more human-centered mobility analysis.
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R&T Cognition Day
Institut Cognition
During the 2025 R&T Cognition Day, Stern Tech presented its advances in behavioral analysis and their applications in wellbeing, mobility and human resources, alongside major research and innovation players.
Sensitive use cases remain led by professionals, partners or competent organizations according to the applicable use frameworks.
Read articleGartner Emerging Technologies Radar
Gartner
Mentioned four times by Gartner, Stern Tech sees its expertise in behavioral artificial intelligence recognized internationally across areas such as recruitment, market research, wellbeing and mobility.
This recognition illustrates Stern Tech’s ability to develop proprietary, scalable and operationally usable technology for demanding environments.
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In Le Mans: the car of the future focused on safety, comfort and driving signals
XMobility 2023
At XMobility 2023, Renault presented H1st Vision, a concept car integrating Stern Tech technologies to enrich the observation of the driving experience through real-time behavioral analysis.
This integration illustrates the value of attention, vigilance and session-signal indicators in a safer and more human-centered vision of mobility.
Read articleH1st Vision: a vision of tomorrow’s mobility
Le Nouvel Automobiliste
Through the H1st Vision concept, Software République presents a new vision of mobility integrating more than 20 innovations, including technologies related to safety, comfort, driver experience and real-world scenario simulation through a digital twin.
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Siècle Digital highlights Stern Tech and behavioral analysis
Siècle Digital
Siècle Digital highlights Stern Tech’s expertise in AI-powered behavioral analysis, with applications across key sectors such as wellbeing, mobility, security and user experience.
Stern Tech technologies rely on observable signals and analysis-support indicators, without establishing diagnoses or replacing competent professionals.
Read articleH1st Vision: breakthrough technologies reinvent tomorrow’s mobility
Le Figaro
Le Figaro highlights H1st Vision, an innovative concept car developed by Software République and integrating Stern Tech technologies for smarter, safer and more human-centered mobility.
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June 14 — Interview with Delphine Sabattier
B SMART
During its appearance on B SMART’s Smart Tech show, Stern Tech shared its vision of behavioral AI serving humans, advanced analysis and supervised decision-making.
Read articleSoftware République presents “H1st Vision” at VivaTech 2023
Renault Group
Presented at VivaTech 2023, H1st Vision is a collaborative vehicle developed by Software République, bringing together 12 partners, including Stern Tech, around a shared vision: designing smarter, safer and human-centered mobility.
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Luc Julia mentions Stern Tech on Tech & Co
BFM Business
On BFM TV’s Tech & Co show, Luc Julia mentioned Stern Tech for its innovations in artificial intelligence and its expertise in behavioral analysis.
Read articleExternal publications may use their own editorial wording. Stern Tech presents its technologies as behavioral intelligence solutions providing observable signals, indicators and analyses designed to support human interpretation within the relevant use framework.
