PRIVATE AI ENGINEERING · AEROSPACE & DEFENCE
Engineering AI.
Under Your Control.
AERGIDE gives aerospace and defence engineering teams a controlled environment for AI agents working with approved project knowledge, specialist engineering workflows and customer-selected models. Your engineers remain in control of every decision.
- Engineering workflows: Explore requirements analysis, technical knowledge retrieval and traceability preparation in a bounded, evaluated pilot.
- Customer-controlled knowledge: Connect approved project documentation and engineering knowledge with explicit access and change controls.
- Model and deployment choice: Use customer-selected endpoints and deployment profiles aligned with your IT and security policies.
01 — What You Actually Get
Engineering Workflows
Grounded in Your Knowledge.
AERGIDE is built to support engineering work with evidence, explicit controls and qualified human review — not autonomous approval.
Requirements & Traceability
Retrieve authoritative requirements, identify possible ambiguity or conflicts, and prepare draft traceability artefacts with links to source evidence.
Engineering Knowledge Vault
Search approved project documentation, decisions and engineering references with explicit read/write roles, provenance and controlled updates.
Controlled Runtime
Run agent workflows against customer-selected model endpoints, with deployment and network policies defined by the customer environment.
02 — The Implementation Process
From Engineering Bottleneck
to Measurable Pilot.
Start with one bounded workflow, agreed success criteria and a deployment architecture approved by your technical and security owners.
Engineering Workflow Discovery
Map the requirements, review or knowledge-retrieval workflow, authoritative sources, data boundaries and measurable baseline.
Bounded Technical Pilot
Configure one engineering workflow using approved data, selected model endpoints, explicit permissions and an evaluation set.
Engineer Review & Handover
Measure results with engineers, document limitations, train users and define the production support model.
03 — Commercial Engagement
Start with a Paid Pilot.
Scale What Works.
Engagements are scoped to the workflow, deployment constraints, integration effort and acceptance criteria. Final pricing follows discovery.
Design-Partner Pilot
One engineering workflow, limited users and approved data, with a fixed evaluation and human review process.
- One workflow: Requirements analysis or engineering knowledge retrieval.
- Evaluation: Test source grounding, uncertainty and reviewer acceptance.
- Knowledge Pack: Relevant engineering skills and governance.
- Customer-controlled: Agreed model endpoint, data set and deployment profile.
- Evaluation: Baseline, test set, human review and pilot report.
- Handover: User training, limitations and production recommendation.
Production Platform
For teams converting a successful pilot into a supported engineering platform deployment.
- Deployment: Agreed environments, users and model endpoints.
- Engineering Vault: Controlled retrieval over approved project knowledge.
- Knowledge Packs: Versioned engineering workflows and evaluation assets.
- Governance: Defined roles, data lifecycle and human approval gates.
- Lifecycle: Release updates, operational reviews and agreed improvements.
- Support: Annual platform licence and separately scoped managed support.
04 — Deployment Profiles
Connected or Restricted.
Within Your Approved Boundaries.
Select a deployment profile based on your security architecture. Restricted deployments are offered only after platform validation and customer security review. No certification or absolute-isolation claim is implied.
Explicit Network Policy
Network boundaries and permitted endpoints are defined, tested and documented for the deployment. The current controls do not constitute a certified air-gap and do not by themselves eliminate corporate LAN access.
Customer-Selected Models
Connect approved local or remote inference endpoints. Model placement, telemetry and data handling are reviewed with the customer security owner.
Integrity & Governance
Knowledge Pack manifests support integrity verification and read-only mounting. They are technical controls, not a certification or compliance guarantee.
Ready to modernise engineering workflows?
Bring AI into Engineering.
Keep Engineers in Control.
Discuss one requirements, systems-engineering or technical-knowledge workflow. We will assess the data boundary, deployment constraints and whether a measured pilot makes sense.