Fresh Consulting

AI can help employees prepare work faster. WebMCP could help them complete it inside your internal systems. A manager uses AI to organize a new employee's onboarding, then opens the purchasing portal and manually searches for a laptop, enters details, and

Healthcare innovation rarely comes from a single breakthrough. Take the automated insulin pump: a glucose biosensor running on a predictive edge device, or robotic-assisted surgery, which pairs precision mechanics with real-time computer vision and automa

AI has made it easier than ever to start building software. An internal team can describe a feature, generate an interface, scaffold an application, connect an API, and produce working code in a fraction of the time these tasks once required. That changes

Back in 2008, I asked a simple question that turned out to be surprisingly hard to answer: what is Innovation? I pulled together 30-plus definitions from The Economist, Peter Drucker, Wikipedia, and dozens of others, and found most of them circling the sa

A polished AI prototype can make the future feel close. But a working demo is not the same as a deployable enterprise AI solution. A growing number of business leaders arrive with something exciting: an AI prototype. They may have built it themselves with

This post continues exploring the ThreadWarp project and the master modeling process that is central to our workflow. If you're wondering how we got here, please check out the first three posts: The Power of Master Modeling in SolidWorks Master Modeling T

Marks LT350's transition from concept to active engineering and deployment for its first solar parking lot canopy that turns the airspace of parking lots into distributed AI datacenters Fresh Consulting to design thermal, power, battery, and GPU integrati

Robots are not (yet) agile enough to challenge us on the field. But robotic sensing is already changing how sports are played, officiated, analyzed, and broadcast. Across professional leagues, cameras, lasers, chips embedded in balls and equipment - and t

Most organizations are trying to build the AI interface first while the operational and data layers underneath it still aren't ready. The chat interface is often the easiest part of enterprise AI. Making the organization understandable to machines is the