About KatıHal R&D
We are pioneering the future of Physical AI by bridging the gap between the digital and physical worlds through advanced sensor technology and physics-aware machine learning.
Our Mission
To make Physical AI accessible and reliable for critical industrial operations by creating comprehensive data infrastructure that transforms physical environments into intelligent systems.
We believe that the future of AI lies not just in digital applications, but in understanding and optimizing the physical world around us.
Our Vision
A world where every physical system is intelligent, predictive, and self-optimizing - where equipment failures are prevented before they occur, energy is used efficiently, and operations run seamlessly.
We envision Physical AI as the foundation of the next industrial revolution.
Our Values
Technical Excellence
We pursue the highest standards in engineering and technology, combining rigorous scientific methods with practical industrial experience.
Reliability First
Our solutions are designed for mission-critical environments where failure is not an option. Every component is built for maximum uptime and accuracy.
Customer Success
We measure our success by our customers' operational improvements. Your challenges drive our innovations and solutions.
Continuous Innovation
We invest heavily in R&D to stay at the forefront of Physical AI technology, constantly pushing the boundaries of what's possible.
Technology Leadership
Hardware Engineering Excellence
Our team has over 15 years of experience designing sensors and embedded systems for the harshest industrial environments.
Expertise Areas:
Multi-modal sensor fusion technology, harsh environment certifications (ATEX, IP68, MIL-STD), edge AI processing and real-time inference, wireless communication protocols and mesh networks, and power optimization with energy harvesting.
AI & Machine Learning Innovation
Our AI research team develops physics-aware models that understand real-world constraints and deliver accurate predictions with limited data.
Research Focus:
Physics-informed neural networks, synthetic data generation and augmentation, transfer learning for industrial applications, anomaly detection and predictive maintenance, and real-time optimization algorithms.
Leadership Team
Engineering Leadership
CTO & Founding Team
PhD in Electrical Engineering with 20+ years in industrial automation. Former senior engineer at leading defense contractors with 15+ patents in sensor technology.
AI Research
Head of AI Research
PhD in Machine Learning with published research in top-tier conferences. Former research scientist at tech giants and expert in physics-informed AI.
Industry Experience
VP of Engineering
25+ years in industrial systems. Former engineering director at multinational corporation with deep expertise in harsh environment deployments.
Business Development
VP of Business Development
MBA and engineering background with 15+ years in B2B technology sales. Extensive industry network and track record of scaling technology companies.
Research Partnerships
Academic Collaborations
We maintain strong research partnerships with leading universities to advance the state of the art in Physical AI.
Industry Research
Active participation in industry research initiatives and government-funded projects to solve real-world challenges.
Research Areas:
TÜBİTAK funded projects, EU Horizon research programs, industry consortium projects, defense research initiatives, and clean energy technology development.
Company Milestones
2013-2021 - Hardware Design Era
Company founded with focus on embedded systems and physical product design. Successfully designed and manufactured 25+ electronic products at the intersection of physical and digital worlds.
2022 - Strategic Pivot
Shifted focus from manufacturing to data harvesting using electronic systems. Began developing AI and machine learning capabilities for Physical AI applications.
2023-2024 - Physical AI Development
Advanced sensor technology and physics-based synthetic data engine developed. First Physical AI pilot deployments and initial market validation achieved.
2025 - Market Leadership
Commercial Physical AI solutions launched. International expansion into European markets. Series A funding and advanced AI model development.
Awards & Recognition
Innovation Awards
Multiple innovation awards and recognitions from leading universities, academic and government institutions.
Industry Recognition
Featured in leading industry publications, speaker at international conferences, and technology partner with major corporations.
Research Publications
15+ peer-reviewed papers published, conference presentations at top venues, and contributing to industry standards.
Patent Portfolio
10+ patents filed in core technologies, international patent applications, and continuous IP development program.
Our Location
Headquarters - Istanbul, Turkey
Located in Istanbul, providing access to world-class research facilities, government institutions, and talent pool from leading universities.
Strategic Advantages:
Bridge between Europe and Asia, access to multiple industrial markets, strong engineering talent pool, government support for technology companies, and proximity to major industrial centers.
Global Reach
While based in Turkey, we serve customers worldwide through strategic partnerships and remote support capabilities.
Market Coverage:
Turkey and regional markets, European Union expansion, Middle East and North Africa, international partner network, and remote deployment capabilities.
Sustainability & Social Impact
Environmental Impact
Our solutions help customers reduce energy consumption, optimize resource usage, and minimize environmental impact through intelligent operations.
Safety Improvement
By predicting equipment failures and monitoring safety conditions, we help prevent accidents and protect worker safety across industries.
Education & Training
We actively contribute to education through university partnerships, internship programs, and knowledge sharing in the community.
Open Innovation
We support open-source initiatives and contribute to the broader AI and IoT communities through research publications and standards development.