Charles River Analytics is a privately held R&D firm building AI and robotics solutions, now part of GRVTY. The tech stack—Python, C++, PyTorch, TensorFlow, ROS 2, Kubernetes, and Neo4j—reflects a serious ML and autonomous-systems operation. Active hiring skews heavily toward senior engineers and researchers (7 of 9 open roles), with projects spanning human-AI teaming, command-and-control systems, and robotic navigation. The organization is scaling technical depth to operationalize research innovations.
Charles River Analytics conducts R&D in AI, robotics, and human-machine interfaces for defense, national security, and enterprise customers. Founded in 1983 and headquartered in Cambridge, MA, the company employs 51–200 people and specializes in autonomous systems, advanced sensor processing, predictive maintenance, and decision-support platforms. Recent organizational restructuring under GRVTY parent company aims to increase capacity and commercialize fielded systems. The hiring velocity is accelerating, with active recruitment in the United States and United Kingdom.
Core stack includes Python, C++, PyTorch, TensorFlow, ROS 2, Docker, Kubernetes, and JavaScript/React frontend. Databases: PostgreSQL, MongoDB, Neo4j, Elasticsearch. Build/deployment: AWS, GitLab, Jira.
Active projects include decision-support systems, human-AI teaming, command-and-control platforms, robotic navigation, autonomous systems, and advanced sensor processing for defense and enterprise.
Charles River Analytics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.