AI vehicle inspection for yard operations
Built for the reality of yardoks: tightly parked vehicles, limited lighting, limited movement between rows, multiple operators, and constant handovers. We help document condition and securement at the moments when responsibility changes.
Trusted across industries






























Built around how yards actually work
Focalx specializes in yard workflows and reporting

Bespoke yard workflows
Bespoke yard workflows
Inspections follow predefined yard workflows: parking lanes, compounds, and handover points. We account for real constraints – like not being able to walk between vehicles – so your teams can inspect efficiently without redesigning the yard.

Standardized damage ready for claims
Standardized damage ready for claims
All damages are captured in a consistent, claims-ready format that meets industry standards and speeds up claims processing.

Mobile and Hardware capture integrated
Mobile and Hardware capture integrated
Capture vehicle data seamlessly using mobile devices and fixed hardware, fully integrated into one unified workflow.
More Accurate AIAG compliance
The leading damage management platform for Vehicle Logistics
Inspect: AI vehicle & securement inspections
Detect when vehicles get damaged or when they’ve been incorrectly secured.
Stream: automated workflows
Automate tasks after inspections, internally and across collaborating companies, so issues are resolved faster.
Recover: faster claim adjudication
Auto-sync inspection and damage data directly into claims systems and forms for faster, more accurate adjudication.
Don’t pay for damage you didn’t cause
Inspections with damage found in FVL by Focalx AI
increase in damage detection – AI vs. Human
More accurate AIAG compliance
From reception to dispatch – step by step
- Vehicle is delivered and parked in the yard
- Yard operator performs a guided inspection at the parking spot or lane or drives the car though the Focalx Gate
- Focalx AI detects any damage and applies M22 codes
- Securement status is documented where relevant (e.g. straps, wheel chocks)
- Stream creates tasks for repairs, rework, or follow-up with carriers/OEMs
- Every event is tied to VIN, time, user, and location
Securement matters
Examples of chock exceptions detected by our AI
Logged as a part of the handover inspection:
1HGBH41JXMN000000
61b7a674-9ba7-4d1e-92ea-b2587f9eb024
Faulty installation
Left front wheel
Wheel
New
FocalX - VASCOR partnership
Through our partnership with VASCOR, a market leader in Finished Vehicle Logistics, Focalx brings AI inspections to operations across the US, Canada, Mexico, and India – helping vehicles move faster with fewer damage disputes.
Focalx and VASCOR partners for the North America market
Self-service data analytics software that lets you create visually appealing data visualizations and insightful dashboards in minutes.
Custom damage definitions
Different sectors use different standards. Focalx adapts to your coding and applies it consistently at scale.

Severity mapping
Severity mapping
Define what counts as damage for your business, or use multi-level scales. Focalx maps AI output to your catefories, mathing how your teams already work.

Industry-standard codebooks
Industry-standard codebooks

Multi-standard support
Multi-standard support
You don't need the whole chain to get value
Focalx is built for the entire vehicle logistics chain – but you can start with the parts you control today.
Yard operations
Standardized inspections and handover workflows inside your yards and compounds.
Rail operations
Railcar workflows for damage, spacing, securement exceptions, and seal numbers.
Haulway operations
Inspections every time a carrier picks up or delivers a vehicle, tied to VIN and responsibility.
Want to see how it works?
Join teams transforming vehicle inspections with seamless, AI-driven efficiency
Further reading
Why ‘Just Train People Better’ Stops Working at Scale
‘Just train people better’ stops working at scale because training improves individual performance, but it does not eliminate the operational...
When Standards Are Optional, Disputes Are Guaranteed
When standards are optional, disputes are effectively guaranteed because the same physical damage can be described, coded, and escalated in...
IT Didn’t Block the Rollout—Bad Rollout Design Did
Bad rollout design, not IT resistance, is usually what blocks a deployment because it tries to solve every dependency (hardware,...
What OEMs Actually Want From Logistics Providers (But Rarely Say Out Loud)
OEMs want logistics providers to deliver provable outcomes—especially around damage, handovers, and claims—not just well-written service descriptions. Finished vehicle logistics...
Stop Paying for Damage You Didn’t Cause
You stop paying for damage you didn’t cause by making liability decisions depend on standardized handover evidence rather than on...
Why Inspection Quality Collapses Under Time Pressure
Inspection quality collapses under time pressure because misses become a predictable outcome of constrained conditions, variable standards, and human limits—not...
Hybrid Inspection Is the Future (and We Learned It the Hard Way)
Hybrid inspection is the future because one capture method cannot reliably fit every finished vehicle logistics node, and we learned...
Why Standards Fail in the Field (Even When Everyone Agrees)
Standards fail in the field (even when everyone agrees) because the gap is rarely knowledge—it is usability under time pressure...
Why ‘Inspection’ Is the Wrong Word: It’s a Set of Events
It is a set of events because what the industry calls an “inspection” is not one workflow with one standard...
From Photo to Action: The Workflow Layer FVL Has Been Missing
Finished vehicle logistics moves from photo to action by treating every inspection photo as structured work: an exception that is...
A Simple Maturity Model for Vehicle Logistics Quality
A shared maturity model makes the journey to fast, damage-free delivery understandable and actionable by turning “quality” from an abstract...