Redefining Smart Living Through AI & Human Collaboration

Join SmartHuman TyLab to experience environments that learn, adapt and respond to human behavior for enhanced comfort, health and productivity.

Our Vision & Offerings

Adaptive Environments

We develop spaces that automatically adjust lighting, temperature and acoustics based on real-time sensor data and occupant preferences.

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Emotion-Aware Interfaces

By analyzing voice tone, facial expressions and posture, our systems deliver contextually aware assistance and personalized feedback.

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Collaborative Prototyping

Participants engage with early-stage devices and software in our living lab, informing design improvements through direct interaction.

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Join the Future of Smart Living

Discover how SmartHuman TyLab brings together cutting-edge AI research and human-centered design to transform everyday environments into intuitive, responsive spaces. Engage with our experts and explore practical applications that enhance well-being, comfort and connectivity.

Our Team

Meet the Innovators

At SmartHuman TyLab, our interdisciplinary team pioneers the intersection of artificial intelligence, user experience and smart environment design. We collaborate to ensure our solutions are deeply informed by human behavior, ensuring seamless integration into daily life.

Team Member

Dr. Eva Novak

Human-AI Interaction Specialist

Dr. Novak leads our research in conversational interfaces, focusing on natural language understanding and emotional context. She designs user studies that reveal how people engage with AI agents in home and workplace settings.

User Research Machine Learning Ethnographic Studies
Team Member

Jan Svoboda

Smart Environment Designer

Jan develops modular sensor networks and adaptive layouts that respond to occupant habits. His work ensures that our prototypes are not only functional but also elegant and unobtrusive in real-world environments.

Sensor Integration IoT Architecture User-Centric Design
Team Member

Martin Horak

Data Scientist

Martin builds predictive models that anticipate user needs and environmental changes. He transforms raw data streams into actionable insights, enabling devices to adapt in real time without manual input.

Predictive Modeling Natural Language Processing Data Visualization

Key Features

Our platform blends AI algorithms with rich contextual data to deliver a truly adaptive experience. From voice-activated controls to ambient learning patterns, each feature is crafted to enhance daily routines while respecting privacy and autonomy.
Adaptive Interfaces
Interfaces adjust dynamically based on individual preferences and environmental factors, ensuring intuitive interaction across devices and spaces.
Contextual Awareness
Real-time sensing of location, activity and mood informs system behavior, providing personalized responses without constant manual configuration.
Seamless Integration
Our solutions plug into existing smart home and workplace infrastructures, enabling rapid deployment and interoperability with popular platforms.
Real-Time Insights
Dashboards and analytics tools offer clear visibility into system performance and user engagement, facilitating informed adjustments and ongoing refinement.

Innovate with Us

Collaborative Prototyping

Participants engage with early-stage devices and software in our living lab, informing design improvements through direct interaction.

Request a Demo

Office Address

U Kanálky, 120 00 Praha 2-Vinohrady, Czechia

Phone

+420609690219

Email

info@smarthumantylab.com

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Explore the Lab

Step inside SmartHuman TyLab to see our prototypes in action. Our space is designed to showcase interactive installations that illustrate visionary approaches to AI-augmented living. Experience scenarios ranging from intelligent lighting that adapts to occupant mood, to conversational assistants that bridge digital and physical realms.

Join guided tours led by our researchers and designers. Gain first-hand insights into development pipelines, data ethics practices, and co-design workshops. Collaborate on pilot projects or propose custom studies that align with your organizational goals and user communities.