Grey Matter
Matt Walter has work experience as a Software Engineer at greymatter.io since 2019. Matt also worked as a Software Engineer Intern at greymatter.io from May to August 2019. In 2020, they were an Undergraduate Research Assistant in cyber security at the College of Charleston from January to May. Before that, they worked as a Front End Dev Intern at greymatter.io from June to August 2018, and as a Data Science Intern at Allied Marine Services Inc from June to August 2017.
Matt Walter attended Gonzaga College High School from 2014 to 2018. Matt did not obtain a degree or pursue any specific field of study during this time. Following their high school education, from 2018 to 2021, Matt Walter enrolled at the College of Charleston. There, they earned a Bachelor of Science (BS) degree in Computer Science.
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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.