Mission Control AI Launches Swarm, a Synthetic Workforce Platform Designed for Security-Critical Industries

Mission Control AI has launched Swarm, a synthetic workforce platform built to deploy autonomous AI workers inside highly regulated, security-sensitive environments. After a year of selective deployments across Fortune 500 companies and national security organizations, the San Francisco-based company is now making the platform broadly available to all industries.

Unlike chatbots or basic workflow automation tools, Swarm’s synthetic workers are designed to function as full digital employees. They log into enterprise software, navigate legacy systems, retrieve and analyze data, manage exceptions, and complete tasks continuously. Each worker operates within defined permissions, with human oversight and full traceability.

“Swarm offers synthetic workers that are not chatbots or workflows, but 24/7 digital employees with a name and a job description,” said Ramsay Brown, CEO and co-founder of Mission Control AI. Brown, a computational neuroscientist who authored early work on synthetic labor, emphasized that governance and security are built into the system from the start, rather than layered on afterward.

A Governance-First Approach to Autonomous AI

Enterprise adoption of agentic AI has accelerated rapidly over the past year. Yet as companies experiment with autonomous agents capable of executing tasks independently, concerns around accountability, privilege escalation, and shadow deployments have intensified.

Many organizations now face internal risks from employees deploying unapproved AI tools that operate with elevated system access. Security leaders have warned that unmanaged autonomous agents can create blind spots in governance, especially when they execute actions without audit trails or bounded permissions.

Mission Control positions Swarm as an answer to that challenge. Synthetic workers operate only within tools and permissions explicitly approved by human administrators. They cannot install software, run arbitrary code, or escalate their own privileges. Every action is logged, and decision pathways are traceable — not only documenting what the AI did, but why it made specific choices.

The shift reflects a broader change in enterprise AI conversations. The question is no longer simply what autonomous systems are capable of, but who is accountable when they act inside mission-critical environments.

Working Inside Legacy Systems

A notable feature of Swarm is that it does not require enterprises to modernize their internal systems before deployment. Synthetic workers interact with software through standard user interfaces — keyboard, mouse, and screen — much like a human employee would. That allows companies to deploy autonomous labor without costly integration projects or infrastructure overhauls.

For industries such as energy, financial services, logistics, advanced manufacturing, and national security — where legacy systems remain common — this approach lowers the barrier to adoption.

Swarm also maintains vendor neutrality. Organizations can operate synthetic workers on top of multiple AI providers or fine-tune their own models. If companies choose to switch model providers, they can do so without reconfiguring the operational layer.

Synthetic Labor Moves Into Critical Infrastructure

Mission Control describes itself as the world’s first synthetic labor company. Structured as a Public Benefit Corporation, it focuses on deploying autonomous workers into sectors where governance, trust, and reliability are non-negotiable.

During its limited release period, synthetic workers were issued employee IDs and operated alongside human teams, performing defined roles within enterprise systems. With broader availability, the company is betting that enterprises are ready to treat AI agents not as experimental assistants, but as managed members of the workforce.

As autonomous systems mature, the distinction between automation and labor is becoming more explicit. The emerging model is not one of isolated AI tools, but of structured digital workers embedded within organizational hierarchies — governed, permissioned, auditable, and accountable.

With Swarm now open to all industries, Mission Control is positioning synthetic labor not as a future concept, but as operational infrastructure for the present.