01 / DEFENSE ENGINEERING
Your prime contractor or government customer entrusts you with technical data, integration milestones, and a working subsystem. Bring AI into that engineering work without making an external model service a new destination for program data.
Talk through your program ↗THE BOTTLENECK / CONTEXT AND CONTROL
For a defense supplier, the useful context can include a customer’s interface control document, a hardware-in-the-loop test log, and a versioned software baseline. Those inputs can carry contractual handling restrictions alongside your own intellectual property.
A customer’s drawings, interface definitions, or test data may be CUI, export-controlled, proprietary, or subject to contractual restrictions. Determine the applicable handling rules before putting that material into an AI workflow.
Your customer needs to know which baseline changed, which tests ran, and what remains unresolved. Agent output has to survive engineering review and configuration control before it belongs in a delivery.
An engineer working across contracts may have different permissions for each. Repositories, retrieved context, traces, and support access all need to respect those boundaries. Keeping inference local addresses only one part of that design.
SYSTEM SCHEMATIC / EXPLORE THE WORKFLOW
Explore three supplier workflows. Each connects the engineering task to the customer’s acceptance needs and the data that must stay within the approved scope.
A prime changes an interface and your subsystem has to remain compatible. The work touches customer technical data, your implementation, and a delivery baseline. The agent needs that context without widening who can access it.
The prime needs a compatible subsystem and evidence of what changed before the next integration event.
Scope the workflow to that program’s ICD, repository, and fixtures. Review derived prompts, outputs, and traces under the same applicable handling requirements.
Connect the repositories and documents approved for this workflow. Scope access before the agent starts.
Customer interface control document (ICD), versioned source, approved message fixtures, and change request
WHY CUECLOUD
Vault and Blitz connect the parts that make private AI useful. Our team works with yours on the hardware, model selection, tools, and operating requirements.
Compact hardware and a custom inference stack, configured around the open-source models your work needs. We size the compute and memory for your workload, then handle installation and setup.
CueCode IDE, agent workspace, execution harness, and telemetry governance in one platform. Connect your approved repositories and tools, and give engineers a way to direct and review the work.
SECURITY / FROM CUSTOMER OBLIGATION TO SYSTEM DESIGN
Local inference removes the need to send prompts to an external model API. A defensible deployment also has to account for retrieved files, tool output, traces, updates, and support access. We scope those paths with your engineering and security owners.
Run selected models on Vault and host the Blitz workflow internally. Include prompts, generated code, tool results, and telemetry in the data-flow review.
Approved destinations, outbound connections, storage locations, backup handling, and retention.
Scope repository connections, working context, and tool credentials by program. Agree whether separate deployments are required for the customer’s boundary.
Identity mapping, denied-access tests, cross-program retrieval behavior, and trace visibility.
Start with offline engineering work and reviewable diffs. Configure permitted commands and keep release authority with your existing engineering process.
Write permissions, test environments, review gates, and separation from live equipment and release credentials.
Host agent traces and operational telemetry internally, with collection and access scoped to your requirements. Treat logs containing technical data as part of the protected workflow.
Recorded events, access to logs, retention, investigation procedures, and evidence your team needs to retain.
Plan model and software delivery, update approval, rollback, and support before installation. Scope an offline process where the environment requires it.
Artifact provenance, approved versions, package transfer, support access, and the responsible owner for each control.
START WITH A BOUNDED PILOT
Bring the engineering lead, the security owner, and the person accountable for the customer deliverable. Choose an approved information set and a task with a known baseline. Agree what acceptable output and acceptable access look like before the pilot.
Plan your engineering pilot ↗Pick a code investigation, test failure, or change request with a result your team can check.
Agree the inputs, models, tools, network paths, and review process before connecting the workflow.
Evaluate correctness, review effort, response time, and access behavior on representative work.
