Approved computer fleet
Enroll trusted computers, maintain authenticated heartbeats, restrict owner actions, validate local storage, and use private-network identity where a direct connection is required.
AI development operations
Internal pilotA secure control plane for AI-assisted development across computers and projects.
Connect owner-approved computers to Mission Control, share exact Git-backed project versions, dispatch bounded work, open verified copies, and review private previews without mixing credentials, deployment settings, or customer data.
IntellaFleet
Every approved computer. One verified project state.VerifiedOpen the exact approved project version
CoordinatedMove work safely between computers
ProtectedKeep trust, storage, and preview boundaries
The opportunity
Multi-computer AI development can drift faster than a team can notice.
The wrong repository, stale commit, unshared local work, unsafe project folder, broad credential access, or public preview can turn a fast coding workflow into data loss and security risk.
IntellaFleet uses Mission Control as the owner plane and a protected connector on each approved computer. It verifies device identity, project ID, repository, branch, commit, local state, storage boundaries, and handoff rules before work opens or moves.
What it includes
Built around the work that matters.
Focused capabilities that create a clearer experience and a stronger operating system.
Verified project handoffs
Publish exact Git-backed versions, maintain a friendly project catalog, open only verified copies, block unsafe divergence, and preserve unshared work instead of overwriting it.
Bounded dispatch and private previews
Prepare project-specific tasks, run guarded actions on an approved device, and expose temporary previews through a private relay that blocks source files and expires access.
Built for
Development teams coordinating sensitive AI-assisted work across more than one computer.
IntellaFleet is currently an internal Lemeia pilot for owner-controlled projects and is being shaped for teams that need speed without surrendering repository, device, and data boundaries.
- AI-assisted development teams
- Agencies managing private client repositories
- Multi-computer project workflows
- Owner-reviewed remote build previews
Useful next reading
Understand the decisions behind the capability.
Start a conversation
Coordinate the build without losing control.
Explore a safer operating layer for approved computers, verified projects, bounded work, and private review.
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