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Computer Vision in 2026: Foundation Models, "Locate Anything," and What Actually Changed
Introduction: The Ground Has Shifted A little under a year ago, we published a detailed field guide on building a computer vision system for object identification, counting, and ERP integration. The core message of that post still holds: getting from "the AI sees an object" to "the record in your system is correct" is a journey full of non-obvious problems — duplication, occlusion, lighting drift, object similarity, and knowing when to trust the machine. What has changed in t
I Chishti
Jun 710 min read


Computer Vision in the Warehouse: How AI Eyes Are Cutting Costs and Errors in Supply Chain
The modern warehouse is being transformed by AI that can see — identifying items, tracking movements, detecting errors, and optimising space in real time. Here's how it works and what the numbers look like.
I Chishti
Mar 44 min read


The Rise of Agentic AI: How AI Is Moving from Answering Questions to Getting Things Done
Agentic AI marks a fundamental shift in how businesses use artificial intelligence — from systems that respond to prompts to systems that plan, act, and complete multi-step tasks autonomously. In 2026, it is no longer experimental. Here is what it means and how enterprises are deploying it.
I Chishti
Feb 187 min read
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