AI
Introduction Building machine learning systems for the edge sounds exciting—until you realize that most real-world edge problems begin with a simple, uncomfortable truth: you don’t have labeled data. Not enough of it. Not the right kind. And certainly not data that reflects the messy environments your devices will
Software
Hoomanely products are no longer just mobile apps or hardware devices in isolation. They are systems—a combination of sensors, firmware, mobile applications, dashboards, and cloud intelligence. At Hoomanely, as we build connected pet devices and real-time insights for pet parents, one recurring question keeps coming up: Can we stream
AI
When your AI model performs flawlessly in testing but stumbles in production, you're likely facing one of computer vision's most persistent challenges: domain shift. At Hoomanely, we encountered this exact problem with our dog segmentation model deployed on the Everbowl, our edge device designed to monitor
Software
Modern backend systems rarely fail loudly. They fail quietly—through duplicated requests, partially completed workflows, retried executions, and replayed messages that look successful but slowly erode correctness. On AWS, these behaviors are not edge cases or misconfigurations. They are the default operating conditions of a resilient, distributed platform. API Gateway
AI
Intro One of the hardest problems in smart pet devices isn’t sensing - it’s understanding context. At Hoomanely, our EverBowl feeding system can reliably detect when a dog is eating using weight sensors, proximity sensing, and on‑device vision. But knowing what the dog is eating is a
Hardware
Introduction: Where Electrical Meets Mechanical To the untrained eye, it is merely a rectangle—a boundary line. But to us, it is the negotiated truce between electrical ambition and mechanical reality. This outline is not drawn at a whim; it is forged through a rigorous collision of constraints. Component density
Firmware
Choosing a filesystem in embedded firmware looks simple — until real devices start writing logs, staging firmware updates, caching sensor data, or recovering from unexpected resets. What starts as a neat API turns into challenges involving corruption, wear, mount-time failures, memory stalls, directory explosions, and behavior that rarely shows up in
Hardware
Introduction: When Every Minute Matters At Hoomanely, we design products for the real world—environments where systems occasionally need service, where components eventually reach end-of-life, and where rapid repair directly impacts operational uptime. Our vBus modular architecture extends beyond PCB-level modularity into a complete system philosophy that includes intelligent wire
AI
Introduction Landmark detection models often look impressive during offline evaluation - clean datasets, sharp images, balanced lighting, and tidy annotations. But the real world is rarely that polite. At Hoomanely, we deploy dog‑face landmark detection models (eyes, nose, facial keypoints) on always‑on indoor devices mounted on feeding bowls.
Software
At Hoomanely, we're building a preventive pet healthcare platform for pet parents that has tools and features ranging from pet-parents community to a AI powered pet care chat assistant. Our mission demands rapid iteration—we need to test hypotheses quickly, deploy features fast, and scale efficiently without the