Control Information

Control is the maker of StackControl, an open infrastructure platform for running and managing private, local, and self-controlled AI systems. As AI becomes a core part of modern work, many teams are realizing that not every model, agent, workflow, document, memory, or business process should live entirely inside someone else’s cloud. Organizations need ways to use AI that are flexible, powerful, understandable, and under their own control. StackControl is being built for that future. StackControl helps developers, teams, and organizations manage AI stacks across local machines, private servers, open-source models, self-hosted services, internal tools, and cloud APIs when needed. It is designed for builders who want the freedom to choose their own models, control their own infrastructure, protect sensitive data, and avoid being locked into a single vendor or platform. Control’s work focuses on the infrastructure layer beneath AI applications: local inference, private AI deployments, model and service orchestration, agent workflows, memory and context systems, observability, secure configuration, and the operational tooling required to make AI systems usable, maintainable, and trustworthy. We believe the next generation of AI infrastructure will not be purely cloud-based, purely local, or controlled by a single provider. It will be hybrid, modular, privacy-conscious, and adaptable. Teams will need the ability to run models locally, connect to open or commercial APIs, manage agents, observe system behavior, and move between environments without losing control of their data, workflows, or architecture. StackControl is for developers, companies, consultants, agencies, internal teams, and technical operators who want to build with AI without surrendering control over the systems they depend on. Control builds the foundation. StackControl gives teams control of their AI infrastructure.