At Solecular we apply Machine Learning to forecast performance of massive numbers of workloads and distribute them on servers across any infrastructure to improve performance and reduce operational costs on the cloud, datacenter, and the edge.

Our SaaS product, Maxwell, uses a patent-pending Deep Learning architecture to forecast future performance and to orchestrate the distribution of workloads including KVMs, Kubernetes containers, VMWare VMs, and many other types of workloads. We base our predictions and distribution decisions on the workloads' temporal performance and their usage of resources including CPU, networking, memory, and I/O.