Expertise
24x
The global aerospace AI market is projected to grow from approximately $1.4 billion in 2024 to $34.1 billion by 2033, according to Straits Research.
Manufacturers that adopt AI today will be better positioned to improve performance, strengthen competitiveness, and win future contracts.
< 1 %
Of Companies Subject to CMMC Level 2 Are Certified (CyberSheath / Merrill Research 2025).
Subcontractors that start their compliance journey now position themselves ahead of competitors for future DoD and DND contract opportunities.
29%
of the global aerospace workforce was over the age of 55 in 2023, and nearly a quarter of workers are already eligible for retirement
Morphe, a Vooban product, helps organizations preserve critical expertise by capturing expert knowledge and transforming it into a searchable knowledge base for both employees and AI agents.
In aerospace, quality inspection is not a matter of volume, it’s a matter of criticality. Every safety-critical part undergoes rigorous inspection by trained and certified inspectors, a scarce and costly resource to maintain.
Human judgment also introduces variability. A missed defect can result in rework, non-conformances, and failure to meet AS9100 requirements.
AI doesn’t speed up the production line. It supports inspectors by reducing variability, improving detection consistency, and increasing confidence in situations where errors are simply not an option.
An NCR comes in. Your quality team has to reconstruct the full trail: which lots, which operations, which operator, which calibration records. The data lives in the ERP, the MES, and shared drives, and it takes two days to piece together the full picture. Two days that are spent neither on root-cause analysis nor on preparing for the next AS9100 audit.
A supplier delay. A critical resource becomes a bottleneck. Lead times begin to slip. The data is already in your systems, but it is fragmented across teams and operations. By the time the problem becomes visible, it is often too late to reprioritize production effectively.
97%
faster than manual processing.
For an MRO client, Vooban deployed a solution combining generative AI and operations research. The system extracts and analyzes technical documentation in 2 hours, compared to 3 days with manual processing.
$1M+/year
in operational savings at Aeromag.
Aeromag centralized its data sources to eliminate decision-making bottlenecks. The result: more than $1 million in savings per year and a 10 to 15% reduction in downtime.
Lower maintenance costs and reduced operational risk through faster detection of pipeline anomalies and leaks. For energy transportation companies, the approach also minimizes accident risk and helps prevent environmental incidents related to leaks of oil, natural gas, and other products.
“It’s the first time we’ve worked with an external firm that was able to understand things so quickly and put solutions in place the very next day, even without any prior experience in deicing.”
Gabriel Lépine
Co-CEO, Aeromag
"I was convinced that Vooban’s expertise and knowledge were exactly what we needed."
Éric Bergeron
CEO Flyscan
"Today, we make decisions based on real data—and it completely changes the way we manage."
Sandra Bégin
Director of Operations
01
Step 1
We start by mapping your operational pain points, whether it's supply chain bottlenecks, manual quality inspections, or MRO documentation inefficiencies. Together, we define a clear scope tied to measurable outcomes for your aerospace operations.
02
Step 2
We quantify the expected gains and prioritize the features that deliver the fastest return. Think : reducing workpackage analysis from 3 days to 2 hours, or reaching near-perfect defect detection accuracy on your production line.
03
Step 3
We design a solution that integrates with your existing ERP, MES, and data infrastructure. No forced migrations. No disruptions to your AS9100 or NADCAP workflows. You get mockups and a technical roadmap that fits your technology ecosystem.
04
Step 4
By the end of the workshops, you have a complete picture : project scope, cost estimates, implementation timeline, and all the documentation needed to move forward. No ambiguity, no surprises.
AI for good
Client: Aeromag
Service: Artificial Intelligence, Web + Mobile Development, Data Engineering + BI
Industry: Aerospace
AI for good
Client: Flyscan
Service: Web + Mobile Development
Industry: Aerospace
Client: Canam Group
Service: Artificial Intelligence
Industry: Manufacturing
Client: QSL
Service: Web + Mobile Development
Industry: Logistics
AI for good
Client: Robco
Service: Artificial Intelligence
Industry: Manufacturing
Why AI Is The New Aerospace Imperative
Free structured framework
A playbook for CISOs and CIOs.
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