INDUSTRY · AEROSPACE

Rapidly compose AI-powered solutions across the aerospace value chain at scale.

Predictive maintenance, MRO intelligence and agentic operations across aerospace — from manufacturing through ground operations and aircraft-on-ground recovery.

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THE IMPACT

What changes when XMPro lands in aerospace.

TODAY · AEROSPACEFRAGMENTED

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Aircraft grounding stretches as parts and crews are coordinated manually

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Process anomalies in flight-line operations surface late

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Airworthiness quality escapes are caught downstream

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Sustainment costs climb with reactive part replacement

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Energy inefficiency in hangars and ground support is unmeasured

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ESG and regulatory reporting fragments across systems

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Aircraft-on-ground supply disruption stalls operations

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Siloed data across maintenance, ops and engineering

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Fault diagnosis pulls senior engineers into every issue

THE OPERATING LOOP

Detect. Decide. Coordinate. Execute.

SOLUTION OFFERINGS

Solution categories for aerospace.

Select your use case.

SOLUTIONS FOR AEROSPACE

Pre-scoped use cases for aerospace.

Each one names the operational problem, the signals the platform watches, and the governed action it drives. Filter by category or solution type — or search.

1 use case

Aircraft Component Predictive Maintenance

Stream-based component health monitoring with AOG-risk prediction and audit-ready airworthiness traceability.

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PRODUCTION-PROVEN

Not a concept. In production.

XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.

VERIFIED RESULT — OIL & GAS

$16M Saved every year

18% Reduction in field service trips

95% Reduction in maintenance planning

Customer Case Study

Using XMPro, a global oil and gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months -- achieving over $8 million in calculated value within the first six months.

VERIFIED RESULT — MINING

$10M Saved every year

30% Reduction in conveyor downtime

9,000t Saved every month

Customer Case Study

Using XMPro, the world's largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

VERIFIED RESULT — ENTERPRISE SCALE

6 Sites with in-house adoption

1,000+ Assets monitored

35+ Operational, tactical and strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team at a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago"

-- Advanced Predictive Maintenance Lead, major global mining company

AUTONOMOUS OPERATIONS

Now pushing the frontier.

MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.

15+

Days Autonomous

Safety-critical petrochemical operations

3-5+

Agents Per Team

Specialized agents coordinating per use case

50+

Teams Deployable

Scale across sites and business units

100%

Governed

Every agent, every decision, every action, auditable

READY TO START

Let’s map your aerospace path to autonomy.

Talk to an XMPro engineer about your environment, your starting HAS level and the lever that matters most — or explore the platform yourself in the Demo Hub.

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