Software
Retrieval is one of the most powerful tools we have for making AI genuinely helpful—because it lets systems ground responses in real, evolving knowledge: user history, device signals, policies, docs, and live state. The catch is that retrieval is also a runtime capability. Context arrives at different speeds. Some
Firmware
Modern embedded systems require sophisticated coordination between multiple processing cores, sensors, and communication protocols. When building real-time edge computing platforms that integrate camera capture, thermal imaging, and network transmission, traditional single-threaded approaches quickly become bottlenecks. The challenge lies in orchestrating complex multi-sensor pipelines while maintaining deterministic timing and bulletproof reliability.
Hardware
Introduction: Beyond Plastic Walls Every Hoomanely product is conceived as a balanced system—firmware, electronics, mechanics, and user experience working in harmony. The enclosure is the part users touch and see first, but for wireless-enabled devices it plays an even deeper role. It silently shapes how the antenna inside behaves.
AI
Using large models to sanity-check edge detections Introduction Audio datasets are fragile. Unlike images or text, you cannot visually skim through thousands of audio samples and immediately know whether they belong to the right class. A barking dog, a metal clank, or background human speech can sound deceptively similar in
Firmware
Debugging CAN-FD implementations on modern microcontrollers requires more than just checking bit timings and error counters. When integrating automotive-grade transceivers with high-performance MCUs, subtle hardware-software interactions can create elusive failure modes that manifest as intermittent frame losses, unexpected fault conditions, and mode transition failures. The Challenge: Silent Failures in Production-Ready
Hardware
Introduction – The Small Window Users Notice First A glowing icon on a device seems simple. Behind that glow lies a compact mechanical channel guiding light from an LED to the user’s eye. At product scale, this channel—the light pipe—becomes one of the most human-facing components in the
AI
The Calibration Problem Nobody Talks About When you ship a hardware product with sensors, you inherit a problem that pure software companies never face: the real world is messy. At Hoomanely, our smart bowl—Everbowl—uses load cells to measure food and water consumption and thermal sensors to track a
Hardware
Introduction: The Enclosure as the First System Interface Long before a processor boots or a sensor streams data, a user forms an opinion. That opinion is shaped not by firmware or electrical architecture, but by what they see, hold, and feel. In product engineering, the enclosure is the first interface—
Software
Flutter makes it incredibly easy to build beautiful apps fast. When you're starting out, everything feels smooth: a few screens, some setState, and things just work. But then the app grows. You add chat screens, pagination, animations, API calls, offline storage, and suddenly: * UI starts flickering * Pagination behaves
Firmware
Building high-performance camera systems for edge AI requires mastering the intricate dance between hardware peripherals, memory architecture, and real-time constraints. When developing precision imaging solutions for pet healthcare monitoring, achieving consistent capture rates while maintaining zero data loss becomes paramount. The Challenge: Zero-Copy High-Speed Imaging Traditional microcontroller camera implementations often