Sterblue announces its newest project: Labelflow, the open platform for image labeling. With more than 5 years of experience building Sterblue, the team has realized that the real limiting factor in building high-performance AI models is the overall quality of available datasets. LabelFlow's objective is to help its users to harness the power of AI by providing the best platform to create high-quality datasets for AI training.

Following EPRI's Incubatenergy Labs in 2019, Sterblue performed the very first fully automated hyperbolic cooling tower inspection for a major utility in the US. Since then, Sterblue has executed contracts to inspect three additional plants owned by the American company, with expectations to inspect the entire fleet before the end of 2021.

Despite the current pandemic situation, energy infrastructure inspections cannot stop. In this article, we will take you through Sterblue’s first fully remote project, which culminated with an impressive achievement: inspecting a 101m diameter turbine in only 19 minutes!

It is time to use AI at scale for real!‍ Are you an asset owner or have a customer who wishes to understand the advantages of artificial intelligence for energy and utility companies? Sterblue offers you a free AI test which will allow you to see the results on your own inspection images in only a few days!

As Sterblue's story and mission evolve, so does our website. Today we have some changes to introduce to you (soon more to come)! So before getting lost exploring Sterblue updated website, keep reading to understand the drivers of this restructuring process.

Sterblue teams up with Spacept to offer a fast, cost-effective and environmentally friendly solution to manage vegetation around power lines! Our customers now have access to a high value module involving satellite and drone insights fully integrated into the Sterblue Cloud platform.