Grey Matter
Jack Bischoff has a solid background in software engineering. Jack is currently working at greymatter.io as a Software Engineer since April 2020. Prior to that, they worked at the same company from June 2016 to June 2019 in the same role. Before joining greymatter.io, Jack worked at Goodwill Industries International as an Instructor, where they designed, wrote, and taught programming courses as part of the organization's educational program. Jack was recognized for their dedication with the National Presidential Service Award for contributing over 100 hours of community service.
Jack Bischoff attended the University of Maryland from 2016 to 2020, where they earned a Bachelor's degree in Computer Science. In 2020, they briefly attended The University of Edinburgh, also pursuing a Bachelor's degree in Computer Science.
Grey Matter
Grey Matter is an intelligent mesh platform for enterprise microservice, container, and hybrid cloud operations and management. Our focus on enabling enterprise governance, risk and compliance by leveraging the service mesh technologies for the development to day 2 AI Ops lifecycle. Our platform delivers reliable secure networkperformance, service level management and business intelligence, resource control, automation, and cost efficiency for the enterprise. Grey Matter is a pathway to enterprise modernization and cost control, providing interlacing service control, data management, and neural net functions designed to optimize enterprise distributed systems ROI and TCO.Grey Matter facilitates the management of distributed microservice workloads, controls network traffic, and smartly scales infrastructure to meet business demands. The capture and analysis of over 100 telemetry types powers onboard service level management and control. Our customers rely on Grey Matter’s speed, security, and reliability for critical distributed cloud management and data discovery, storage, and global sharing requirements. An industrial AI software pathway to intent-based networking and AIOps, the platform is also designed to optimize enterprise network availability and performance through AI neural network analysis, enabling AIOps for contextual awareness and intelligent network monitoring.