Collaborative robots (cobots) differ on variables such as weight, payload, reach and accuracy. These set the condition for what tasks a cobot can perform, thus affecting which one is best suited for your environment. However, they all have one thing in common: they shine in their ability to perform repetitive tasks, and with Aivero Do, this is scalable across multiple units and locations.

In May we will head to Silicon Valley to be part of “TINC”, a tech incubator, at the Nordic Innovation House. The Nordic Innovation House is a collaboration among the Nordic countries and their mission is to be a “bridge connecting the cold corners of the globe with the main hotspots around the world”. The TINC program invites twice per year nine startups from the Nordic region to the Silicon Valley ecosystem.

Out of initially 204 applicants to RobotUnion, Aivero was picked along 19 other startups during the two days of pitching to four juries in San Sebastian.

Two months ago measures were put in place by Governments in order to slow down the spread of the coronavirus. For most people, this meant going from office life to home office life.

In observational research, the effectiveness of machine learning hinges on the quality of data. As the adage goes, “garbage in, garbage out,” high-quality data is imperative. Aivero transforms this challenge into an opportunity with its versatile software-based platform. Data Quality: The Core of Machine Learning Success Aivero’s platform stands out for its hardware-agnostic capabilities. Whether…