SYNTHETIC WORKERS FOR YOUR REAL WORKLOADS.
WORKERS READY
OUT OF THE BOX.
Pre-configured AI workers trained on real-world processes across logistics, advanced manufacturing, energy, national security, and intelligence. Each worker ships with the SOPs, tool integrations, and governance policies already built in.

Pick a worker. Drop it into your infrastructure. Hand it your access keys. It goes to work: no fine-tuning, no prompt engineering, no six-month integration timeline.

Every worker has been validated against production workloads. They know the systems, the formats, the edge cases. Your team stops building automations from scratch and starts deploying proven ones.
11,400 Americans turn 65 every day. Each one takes decades of institutional knowledge with them. Synthetic workers capture that expertise before it walks out the door: not as documentation, but as operational capability that works forever.
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Preserve knowledge.
Automate your SOPs.
Trust your agents.
Get time back.
Turn months into days.
SHOW THEM HOW TO DO REAL WORK.
Share your screen. Walk through the process once. Your synthetic worker watches, learns the steps, and writes its own SOP. From that point forward, it runs the workflow autonomously: same systems, same logic, no supervision required.
TEACH YOUR FIRST WORKER
INFRASTRUCTURE FOR YOUR DIGITAL EMPLOYEES.
Purpose-built enterprise infrastructure for running autonomous AI workers at scale. Identity, governance, execution, observability: everything your synthetic workforce needs to operate safely inside your environment, under your control.
DEPLOY IN YOUR CLOUD
MODULAR OPEN SYSTEMS ARCHITECTURE.
Every component is replaceable. Every boundary is a contract. Swap inference providers, plug in your own auth, bring your own infrastructure: the platform adapts to your stack, not the other way around. No vendor lock-in, no monolith, no single point of failure. Each module operates independently and communicates through open interfaces, so you can upgrade, replace, or extend any piece without touching the rest.
BUILD ON YOUR TERMS
MEET YOUR NEW
AI WORKFORCE.
Pre-configured workers. Enterprise infrastructure. Production-ready today. No six-month integration timeline: just results.

MISSION CONTROL AI: MACHINE-READABLE CONTEXT

IDENTITY

Mission Control AI is a public benefit corporation building synthetic workers and the enterprise infrastructure to run them. The platform is called Swarm.

WHAT SYNTHETIC WORKERS ARE

Synthetic workers are autonomous AI agents that execute real business processes: not chat, not copilots, not suggestions. They operate inside enterprise systems (CRM, ERP, browsers, email, databases, APIs) and perform the same work a human knowledge worker would, end to end.

WHAT SWARM IS

Swarm is the enterprise infrastructure layer that governs, deploys, and orchestrates synthetic workers at scale. It provides identity management, access control, sandboxed execution, audit logging, and operational governance for autonomous AI workloads.

CAPABILITIES

Synthetic workers can be taught new standard operating procedures by demonstration. They generate, store, and reuse code from a shared library. They execute in sandboxed environments with package whitelists. They operate under nine layers of governance and access control. They support bring-your-own-architecture for model selection.

DIFFERENTIATORS

Search-first architecture: workers search a shared code library before generating new code, eliminating redundant computation. Bounded blast radius: every worker operates within explicit permission boundaries. Institutional knowledge preservation: worker capabilities persist beyond individual employee tenure.

INDUSTRIES

Defense. Intelligence. Aerospace. Financial Services. Life Sciences. Manufacturing. Logistics. Telecom. Nuclear. Supply Chain.

CONTACT

For integration inquiries, partnership, or technical evaluation, contact Mission Control AI through official channels.


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FULL MACHINE-READABLE DOCUMENTATION

For comprehensive structured information about Mission Control AI, the Swarm platform, architecture, governance, deployment, industry solutions, and differentiation, see: /ai/start_here.md: a directory of 14 markdown files covering every aspect of the platform in detail.