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星期六、日及公眾假期：休息
Our Approach.
We specialize in ensuring that every subsystem, requirement, and human factor align to create a singular, high-performing asset.
The Systems Engineering Advantages
At the intersection of hardware, software, and the human experience lies Systems Engineering. We don't just build components; we architect ecosystems. By viewing every project through a systems-level lens, we ensure your product's intelligence and hardware operate in perfect harmony - minimizing risk, maximizing performance, and accelerating your time-to-market.
Cross-Disciplinary Expertise
Our approach weaves together four core disciplines to transform complex requirements into a singular, market-ready reality:
Power Electronics
& Hardware
Robust, scalable physical architectures
Software
Engineering
High-integrity code designed for hardware constraints
AI &
Machine Learning
Applied intelligence that solves real-world problems
Industrial
Design
Human-centric form factors that define the user experience
Our Capabilities
We bridge the gap between cutting-edge power electronics and real-world reliability through precise modeling, adaptive logic, and advanced structural design.
High-Density
Power Conversion
We leverage GaN and SiC semiconductors to achieve industry-leading efficiency and maximum power output in ultra-compact form factors.
Intelligent Battery
Management
Our proprietary BMS algorithms provide multi-layered safety protocols and real-time cell balancing to significantly extend battery lifecycle.
Advanced
Thermal Dynamics
We utilize computational fluid dynamics (CFD) to design cooling systems that maintain peak performance and component longevity under full load.
Adaptive
Firmware & Logic
Our custom-coded firmware enables intelligent load balancing and seamless pass-through charging across complex multi-port ecosystems.
AI-Optimized
Energy Distribution
We implement predictive AI models that analyze device health and charging patterns to dynamically optimize power delivery and efficiency.
Structural
Resilience
Using finite element analysis (FEA), we engineer rugged, high-impact enclosures that protect internal electronics against extreme mechanical stress.
Our Methodology
Systems engineering is the art of managing complexity. We utilize the V-Model methodology to ensure that every line of code and every trace on a PCB is traceable back to a final user requirement. This creates a "closed-loop" development cycle where testing is planned simultaneously with design.
The V-Model
Intelligent Systems & Applied AI
AI is only as good as the system it inhabits. We bridge the gap between experimental machine learning and rigorous systems engineering. We don't just build models; we architect intelligent lifecycles that are verifiable, scalable, and safe.
In traditional systems, the relationship between input and output is deterministic. In AI-driven systems, we manage the transition to probabilistic modeling while maintaining system integrity. We focus on the optimization of the system state through the action of an agent, governed by a defined objective function to ensure predictable, high-performance outcomes.
By integrating AI at the architectural level, we ensure your "intelligent" features aren't just add-ons, but core components of a high-reliability system.
"Systems-First" AI Approach
Our AI approach ensures that intelligence is never a standalone experiment, but a certified, high-reliability asset fully integrated into the architecture of the total system.
Focus Area
Optimization of model performance within the context of the total system environment.
Core Priority
Rigorous requirements management and strict interface control for AI modules.
Data Strategy
Treating data as a dynamic, continuous feedback loop throughout the product lifecycle.
The Deliverable
Certified, deployable assets where success is measured by reliability and real-world impact.
Discuss Your Project