Every merge approved. Every release traceable. Every incident on record. All inside your own accredited boundary.
Your engineering teams ship faster without loosening a single control. AI agents do the routine work of planning, coding, testing, releasing and watching your live systems, and every step lands in a record your risk, compliance and audit teams can read.
For software, platform, security and operations teams in armed forces, defence ministries, defence agencies and the prime contractors and suppliers who build for them, in the UK, the US and allied nations.
Where the hours and the risk go.
Your AI agents take the routine work, your people keep the decisions.
One installation per classification level
Separate installations for separate classifications, so work never crosses a boundary inside the software. Classified work runs air-gapped, with JuhJuh, your AI models and every dependency inside.
Accreditation evidence as you work
Ticket, review, approvals, build, image digest and release are linked in one record. The compliance evidence AI agent assembles it for a control, a period or a release, for a person to sign off.
ITAR, EAR and CUI handling
Technical data and controlled unclassified information stay in your installation, worked on by open-weight models inside your boundary, with access limited to the people your export rules allow.
72-hour incident reporting
Every incident gets a timeline, the evidence and the people on call as it happens. Your incident manager starts the DFARS 252.204-7012 report from the facts, not from memory.
CMMC and NIST 800-171 support
Access control, audit, configuration management and supply chain controls are supported by your installation's settings and records, the evidence your assessors ask for.
Mission software work
Tickets become reviewed, tested changes on their own branch. A reviewer AI agent on a different model checks every acceptance criterion, and a person decides the merge.
Builds from your approved libraries
Mirrored copies of the open-source packages you approve sit inside your boundary, so builds never need the public internet. Updates arrive as reviewed changes.
One issue card per problem
AIOps connects logs, metrics and traces into one card that names the likely cause, beside the release behind it and its rollback plan.
The same week, with JuhJuh.
Alerts arrive from separate monitoring tools, and the on-call engineer pieces the cause together across chat, phone and spreadsheets.
The SRE on-call AI agent opens the incident, finds the release that caused it and alerts the on-call engineer. She approves the rollback with one tap, and the service is healthy by 2:31am.
Engineers spend days gathering approvals, builds and release notes from several tools by hand.
The compliance evidence AI agent assembles the record by 5pm, and the head of engineering signs it off.
Engineers go without AI help, or use unapproved tools nobody can see.
JuhJuh runs air-gapped on the supplier's own site with open-weight models beside it. Engineers get AI help, and their code and prompts stay inside the boundary.
Every role gets time back.
A person approves anything consequential.
What your AI agents never do on their own
- Merge a change. A person decides, after a reviewer AI agent on a different model has checked it.
- Deploy to production or roll back without a person's approval.
- Change production settings, access or secrets. They prepare the facts for the person who decides.
- Use an AI model your rules haven't approved.
- Send anything outside the organisation beyond the answers you've approved in advance.
- Decide whether to report an incident to the Department of Defense, the MOD or a regulator.
Air-gapped by default for classified work
JuhJuh runs as your own installation, on your own premises or in your own cloud account, with one installation per classification. For classified work it is air-gapped, with no connection to the public internet: JuhJuh, open-weight models from the Mistral, DeepSeek, GLM and Kimi families, your libraries and every dependency sit inside the boundary.
A connected installation is only for OFFICIAL or unclassified work, reaching only the outside services you choose, with public model families such as Claude, GPT and Gemini only where your rules and contracts permit. Nothing leaves your boundary unless you connect it or a person approves it. Our engineers install it with you and stay to build your controls into it.
Bring AI inside your accredited boundary.
Start with one or two teams, and add the rest when you're ready. That's the juju.
