AI Coding Agents. Cleared for Classified Networks.
An agentic coding stack that runs entirely inside your air-gapped or private-cloud environment. Approved for security review by CISOs in defense and regulated finance. Your developers ship 2–4× faster. Your code stays in your network.








Ship code 2–4× faster. Inside your network.
Built to pass security review. Approved by CISOs in defense and finance.
Every threat we considered. How it's contained. How you verify it.
Autonomy where it's safe. Gates where it matters.
The agent runs inside a hardware-isolated microVM with a default-deny perimeter. Inside that boundary, it works autonomously on routine engineering — reads files in scope, writes code, runs tests, fixes compiler errors. Outside the boundary, every action is blocked at the infrastructure layer. The architecture enforces it. You don't have to.
The agent moves at agentic speed inside its lane. Outside its lane, it doesn't move.
Your environment. Your rules.
One stack, three deployment modes. Same architecture, same audit trail, same containment guarantees.
A coding agent that does the work end-to-end
Not autocomplete. An agent that reads, plans, writes, tests, compiles, and opens a reviewed pull request — while you keep working on something else.

See the agent finish a full day's task in 20 minutes.
A live walkthrough on your terms. We deploy the stack on a test machine, give you a real engineering task, and let the agent work end-to-end. Inside a network with zero external connections.
Three layers. All inside your perimeter.
We evaluated every serious AI coding tool on the planet — commercial, open source, and hybrid. These three components, together, are the best the global ecosystem offers for agentic coding inside a perimeter. Every layer is Apache 2.0 or MIT. Self-hosted on standard Linux. No telemetry. No phone-home. Nothing in the path you don't own.
Your security policy picks the model.
The strongest open-weight coding models in 2026 are listed below — ranked by current benchmarks, not by what we sell. The stack is model-agnostic. Swap weights, the rest keeps running.
The top four open-weight coding models in 2026 are Chinese. They benchmark hardest, and the data-leak concern that drives most enterprise restrictions doesn't apply here — nothing in our stack ever connects to vendor servers. What does apply: procurement restrictions in defense contracts, supply-chain audit requirements on model weights, and reputational considerations tied to Chinese National Intelligence Law obligations on the upstream developers. Some customers exclude these weights outright. Others accept them after independent weight audit and SHA-256 verification against the official release.
If Chinese weights are off the table, Devstral 2 (agentic) and Codestral 2 (inline / FIM) are the strongest Western-origin alternatives. Devstral 2 is the only Western-origin model that competes at the agentic tier on a single-GPU footprint.
Roughly one-third the five-year cost. No license. Yours forever.
We're agnostic on build-vs-buy. Some teams need a commercial vendor's support model. Most regulated environments are better served by the open-source path: lower cost, full audit, no license clock ticking. We deliver both.
From first call to production in three weeks
Industries where code doesn't leave the building
Regulated environments where security policy decides what tooling exists. We deploy where the perimeter is the product.
Why Clients Choose and Stay with Globalbit
Frequently Asked Questions
How is this different from GitHub Copilot, Cursor, or Claude Code?
Is this an open-source alternative to Tabnine?
What models can run on-premise in an air-gapped network?
How do you update the model and software without internet access?
Can the agent really work autonomously in a regulated environment?
Does this work for C/C++ codebases in safety-critical or DO-178C environments?
What hardware do we need?
How does our security team verify the system is actually contained?
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