ParallelM, Inc.

Founded in 2015 and based in California, US, ParallelM, Inc. develops machine learning operations (MLOps) which helps companies deploy, manage and govern machine learning applications in production. The company offers MCenter, a platform that assists businesses to utilize machine learning models on modern production infrastructures either on-premise or on a cloud provider of their choice. It also provides different types of solutions by role such as for IT Operations, it offers Monitor ML Health, which displays the status of the user's ML production and provides statistics about prediction rates, anomalies, alert conditions, and latest model configurations; Curated Diagnostics, which help operations personnel assess an issue, capture a trace, and share with a data scientist for further diagnostics; and Sandboxing, which moves data scientists new model into production; for Data Scientists, it offers Codify Machine Learning Management Tasks, which codify tasks into scalable and automated workflows; Snapshots, which provide data scientists with a complete trace of all the symptoms surrounding a particular issue; and Deep Analysis and Diagnostics Workbench, which allows data scientists to draw from a set of charts and analysis tools with which to conduct detailed investigation into ML behavior; and for Business Analysts, it offers visibility into the performance of ML initiatives and can configure their own dashboard and statistical views, track prediction rates and usage, and more.