“Most academic datasets are far from the industry's needs. In our case, we have rather small objects in fairly big images. This is probably a common problem, but in academia it is kind of a niche.”

“Advanced AI models are increasingly created and run on the cloud, but need good quality data from edge devices. The high volume and complex nature of this data has created a new exascale-class problem. Akridata is addressing the problem by managing smart pipelines for ingesting, filtering, curating, tracking, and staging of AI data.”

“Data-Centric AI solutions such as Akridata’s Edge Data Platform fill that need and help customers to match the sophistication of their analytics and models with high-quality and relevant data.”