Rapid without reckless
Accelerate program decisions while preserving evidence, baselines, reviews, and authority-facing discipline.
Digital thread for aircraft development
Move faster without losing the evidence chain.
JPGAerospace builds connected engineering environments for teams developing, testing, and certifying aircraft systems. We link stakeholder intent, requirements, safety, LRU design, software, firmware, hardware, verification artifacts, and certification packages across the tools your program already uses.
LRU to aircraftJama / DOORS / JiraTeamcenter / ENOVIADO-178C / DO-254ARP4754 / ARP4761Private AI
Program Intelligence LayerNeed to verification to certification
live modelNeedStakeholder, mission, aircraft, regulatory, and customer intentJama / DOORScaptured
SystemArchitecture, interfaces, allocation, safety links, and verification strategyMBSE / PLMlinked
BuildLRU, software, firmware, hardware, suppliers, defects, reviews, and releasesJira / Git / PLMcontrolled
ProveProcedures, results, anomalies, coverage, conformity, and objective evidenceTest / V&Vverified
CertifyCompliance matrix, plans, summaries, authority packages, STC / TSO / TC pathEvidence libraryready
Ask:What requirements, hazards, tests, parts, defects, and compliance artifacts are affected by this change?
The market gap
Aerospace bought the tools. The work is still analog.
Programs may have Jama, DOORS, Jira, Teamcenter, ENOVIA, Git, test benches, SharePoint, and compliance matrices. But when the data is not connected, teams still run critical decisions through screenshots, meetings, exported spreadsheets, and stale decks.
Disconnected truth
Requirements, hazards, design states, code, test results, and certification records live in different systems with unclear ownership.
Late compliance recovery
Evidence is assembled under pressure after development decisions have already drifted from the original certification plan.
Slow change impact
Simple changes turn into manual hunts across requirements, safety, software, hardware, suppliers, and verification teams.
AI blocked by risk
Teams want AI help, but IP, ITAR, export-control, source citation, and review accountability have to be solved first.
The connected environment
One traceable operating model from stakeholder need to authority package.
We design the data model, governance, reports, integrations, and safe AI workflows that let every discipline see the same program truth without forcing a single monolithic tool.
Need
Jama / DOORS
Stakeholder, mission, aircraft, regulatory, and customer intent
capturedSystem
MBSE / PLM
Architecture, interfaces, allocation, safety links, and verification strategy
linkedBuild
Jira / Git / PLM
LRU, software, firmware, hardware, suppliers, defects, reviews, and releases
controlledProve
Test / V&V
Procedures, results, anomalies, coverage, conformity, and objective evidence
verifiedCertify
Evidence library
Compliance matrix, plans, summaries, authority packages, STC / TSO / TC path
readyWhy JPGAerospace
The bridge between certification expertise, engineering execution, and digital tools.
One operating model
Connect requirements, safety, PLM, ALM, verification, suppliers, and certification records into one usable program truth.
AI inside controls
Use private, source-linked AI for retrieval, gap checks, impact analysis, and draft artifacts without uncontrolled IP exposure.
Example workflow
Show the evidence chain, not just the architecture diagram.
A digital thread becomes valuable when it can follow a real aircraft change from stakeholder need through system requirements, safety, LRU implementation, supplier SAS/HAS inputs, verification records, substantiation, and the certification package.
Hypothetical changetraceable
Connected health-monitoring LRU retrofit for an in-service aircraft.
Stakeholder need to aircraft requirementSystem allocation to software and hardwareSupplier SAS/HAS and lifecycle evidenceVerification, validation, substantiationDesign compliance summary and certification artifact index
Safe acceleration
AI becomes useful after the engineering data is governed.
A private intelligence layer can summarize evidence, find trace gaps, draft review packs, and explain change impact, but only when outputs cite controlled sources and stay inside approved IP, ITAR, and export-control boundaries.
InputApproved program artifacts
ControlPermissions, classification, audit logs
OutputSource-linked answers for human review
RecordOnly reviewed artifacts enter the program baseline
Start here
Run a digital thread readiness assessment.
We map your toolchain, artifact inventory, traceability gaps, standards pressure, AI-readiness, and certification evidence path, then turn it into a practical 90-day implementation roadmap.
Assessment outputs
- Current-state tool and artifact map.
- Jama, Jira, DOORS, Teamcenter, and ENOVIA connection strategy.
- Requirements-to-evidence gap matrix.
- Private AI governance and use-case plan.
- First sprint backlog for implementation.