Zafer Güner
+Founder
We are an early-stage deeptech team focused on turning human response at the steering interaction into reliable data for research, validation and future mobility systems.
TEAM
PRENSIA is being built by a multidisciplinary team focused on turning human steering interaction into measurable biomechanical intelligence for automotive R&D, simulator systems, and ADAS development.
Founder
Academic / Automotive Advisor
Design & Modeling
Field Testing & Integration
Team note
“We believe the future of vehicle intelligence should include the human behind the wheel — not as an assumption, but as a measurable signal. PRENSIA is our attempt to make that signal visible, useful and reliable for the teams building the next generation of mobility systems.”
WHAT WE ARE WORKING ON
Improving wearable comfort, sensor placement and repeatability during controlled sessions.
Refining FSR, flex, GSR and IMU data collection for cleaner synchronized analysis.
Studying the time gap between physiological response and physical control behavior.
Preparing for discussions with automotive, simulator, test-center and training stakeholders.
CLARITY
Not vision-based monitoring.
Contact-point telemetry.
Not emotional diagnosis.
Physiological and motor response data.
Not an ADAS replacement.
A driver-side signal layer for ADAS research.
Not a production safety claim.
An emerging platform for controlled validation.
JOURNEY
Early experiments around grip force, hand motion, and driver-response measurement at the steering interaction.
Development of the wearable sensing concept, sensor placement logic, and synchronized data architecture.
Patent application, refined positioning, and structured B2B conversations with automotive, simulator, and validation teams.
Controlled pilot studies to test signal quality, workflow fit, and integration value with selected technical partners.
CONNECT
We are open to pilot conversations, technical feedback and collaboration with automotive, simulator, research and validation teams.