News

Every year, companies spend millions on digital tools they don’t need and can’t use effectively. AI platforms that sit idle. ERP systems that create more work than they solve. Dashboards that nobody looks at. The root cause isn’t bad technology. It’s buying before measuring. Read More

A frozen food manufacturer has a contamination problem. Plastic fragments are ending up in finished products. They install an RGB camera system with AI defect detection – and it catches nothing. The plastic is clear, the same color as the product, and sometimes even the same texture. The… Read More

In May 2026, we ran an internal Agmis AI hackathon – a dedicated day for the team to build something of their own, driven entirely by one question: what would… Read More

Your Best Inspector Misses 1 in 7 Defects. Not because they’re careless. Because they’re human. After four hours on a high-speed food production line, even the most experienced quality control specialist starts to fatigue. Their eyes blur. Their attention drifts. Somewhere between unit 847 and unit… Read More

Every AI quality control vendor claims 99% accuracy. The problem is they’re all measuring different things. Some measure accuracy on their test dataset – which they curated. Some measure it in their lab under perfect lighting with clean images. Some don’t even define what “accuracy” means in their… Read More

Computer vision is no longer confined to research papers or tech demos. Across agriculture, defense, manufacturing, and healthcare, companies are deploying systems that inspect grain at 75× the speed of human sorters, detect buried landmines from drones in real time, and reduce automotive seat inspection from one minute… Read More

For years, the prevailing wisdom in business was simple: collect more data, build a bigger moat, and your competitors cannot follow. Data was the asset that compounded over time – the more you had, the harder you were to displace. That logic is breaking down. Not… Read More

That gap – one minute to 2.2 seconds – is the inspection time difference in a deployment we ran for one of the world’s largest automotive seat manufacturers. 27x faster. 99% detection accuracy. Approximately 30x cost savings compared to manual inspection. Those numbers are also specific… Read More

Every developer knows the moment. You’re starting a new service, or picking up a project someone else left behind, and before you write a single line of application code, you’re already deep in configuration work. Which base image? What version? How do you wire the networking between containers?… Read More

AI PPE detection sounds straightforward – point a camera, detect a hardhat, send an alert. Vendors make it look effortless in demos. Clean footage, perfect lighting, a worker walks into frame wearing obvious safety gear, and the system draws a nice green box around it. Then… Read More

Every developer knows the feeling. You open an inherited codebase, and you’re immediately lost. Variable names that made perfect sense to someone in 2017 now read like cryptic puzzles. Functions stretch across hundreds of lines. Comments, where they exist at all, reference tickets from a project management system… Read More

Digital transformation was supposed to be the finish line. Companies spent years digitizing processes, migrating to the cloud, and building data infrastructure. Many succeeded. Yet the promised competitive advantage proved temporary – because everyone else was doing the same thing. Now a new shift is underway. Read More