Cloud vs Edge: Finding the Sweet Spot for Vision
Choosing between cloud, edge or hybrid for computer vision isn’t just about technology — it’s about finding the right balance between speed, cost and control. In this post, we break down the classic Latency–CapEx–Data Gravity triangle, walk through real-world break-even points and offer a practical roadmap from PoC to scalable deployment. Whether you’re tagging products, anonymizing faces, or automating inspections, this guide helps you make smarter architecture decisions — and hit the vision sweet spot in 2025 and beyond.
Building Custom AI: From Concept to Deployment Best Practices
Custom AI solutions are transforming how businesses operate, offering a tailored approach to solving specific challenges and unlocking new opportunities. Unlike off-the-shelf tools, custom AI provides long-term value by reducing costs, improving profitability and enabling scalability for evolving needs. This blog post explores the essential steps to building custom AI, from defining clear objectives and preparing high-quality data to selecting the right architecture and deploying solutions effectively. By embracing custom AI, businesses can enhance efficiency, stand out in competitive markets and future-proof their operations. Whether you're an e-commerce platform, a logistics company or a brand monitoring your reputation, this guide will help you navigate the journey from concept to deployment with best practices and actionable insights.