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Empowering businesses with cutting-edge artificial intelligence
Custom AI solutions meticulously tailored to solve your specific business challenges.
Strategic advice for incorporating AI into your business to maximize efficiency and impact.
Accelerated development of AI prototypes to quickly validate concepts and drive innovation.
AI models that combine sensor data (radar, camera, GPS) to improve wireless communication reliability in connected vehicles. Our approach reduces feedback overhead while maintaining accurate channel estimation in high-mobility environments. Validated through peer-reviewed research in IEEE Transactions on Vehicular Technology.
Algorithm that dynamically selects participating devices in federated learning while controlling privacy leakage and communication latency. This improves the balance between model accuracy, training speed, and privacy over multiple learning rounds. Validated through peer-reviewed research in IEEE Transactions on Signal Processing.
Framework that enables traffic scene understanding across different datasets with varying sensors and data quality. It aligns heterogeneous driving data into a shared representation, allowing knowledge transfer from high-quality datasets to lower-quality ones for improved risk prediction. The approach is validated on nuPlan and Learn to Drive datasets, showing significant reduction in risk-assessment error compared to single-dataset baselines.
Smart farming & crop optimization
Safety & efficiency solutions
Process automation & QC
Supply chain optimization
AI/ML Research & Development
AI-powered security systems
Green tech solutions
Business intelligence
Industrial Automation & Smart Manufacturing
Mining & Heavy Industry
Agricultural AI & Resource Management
Our diverse team of experts brings together cutting-edge research and practical experience to deliver innovative AI solutions.
CEO & Founder
PhD, Associate Professor
Leading researcher in wireless communications and machine learning with 15+ years of experience. Pioneer in federated learning systems for wireless networks and information theory applications in AI.
Education: PhD ECE, University of Illinois at Chicago
Affiliations: NYCU, IEEE
Founding Engineer
PhD Candidate, R&D Engineer
Machine learning engineer specializing in knowledge graphs and multi-hop reasoning systems. Expert in developing intelligent information retrieval systems and graph-based AI architectures.
Education: PhD Engineering (in progress), NYCU
Affiliations: NYCU, ITRI
Founding Engineer
Systems ML Engineer
Full-stack ML engineer and knowledge graph pioneer whose masters thesis on multi-hop reasoning laid the foundation for ongoing PhD research. Combines deep expertise in graph-based AI with unique systems-level optimization skills from compiler to neural network.
Education: MS (Knowledge Graphs & Multi-Hop Reasoning), NYCU
Affiliations: NYCU
Founding Engineer
Wireless Communications Engineer
Wireless communications engineer focused on federated learning and CSI compression. Expert in applying deep learning to optimize wireless network performance and data efficiency.
Education: BE ECE, NYCU
Affiliations: NYCU
Collaborate with our team to design, validate, and launch AI systems that deliver measurable business impact.
Have a serious AI or advanced engineering initiative? Share your project scope and constraints through our qualification flow.