Defects
Damage, wear, leaks and surface faults on products, components and machinery — graded and located, not just flagged.
Platform · Quality Assurance
Ensure Quality with Vision AI Agents
Tiliter’s Vision Agents automatically inspect products, components, and packaging for defects, omissions, or inconsistencies - catching quality issues early, reducing rework, and supporting compliance at scale.
- Consistent quality
- Fewer escapes
- Audit-ready
- Faster QA
Powered by Damage Detector, Visual Compliance Agent and Cleanliness Evaluator
Three things a check can catch
Every submission is compared against the standard you define — so the same judgement is applied on every shift, at every site.
Omissions
Something required that isn't there: a missing part, an absent label, equipment left off the setup.
Inconsistencies
Present but wrong — the wrong variant, an unreadable code, a finish or arrangement that doesn't match the spec.
What happens when something fails
A check is only useful if a failure goes somewhere. Quality Assurance closes that loop.
1. Define the standard
Set what good looks like for the item or step — the criteria the agent judges every submission against.
2. Capture the evidence
Photos come from mobile, web, a fixed camera or an existing system, at the point the work happens.
3. Get a decision
The agent returns a pass or fail with a confidence score and the reason, in seconds rather than at the next audit.
4. Hold until it's right
Anything that fails is held rather than released, and routed to whoever can fix it.
5. Keep the record
Every check is timestamped and stored with its image, so the evidence exists before anyone asks for it.
QA in Action
Vision AI Agents bring automated visual checks to life - supporting quality assurance in sectors from production and supply chain to medical and consumer goods.
Damage Detection and Occupancy Attribution
Recover costs that would otherwise be written off by proving when damage occurred, who was responsible and what evidence supports the claim.
Read use case →Construction Site Standards Verification
Verify construction site standards from field images using AI-powered workflows.
Read use case →Hospitality Room Verification
Verify hospitality room readiness using operational workflows before guest check-in.
Read use case →Public Space Cleanliness Monitoring
Detect litter, spills and hygiene issues from images to improve standards across trains, stations and shared facilities.
Read use case →Vehicle Inspections for Rental Fleets
Detect vehicle damage automatically to reduce inspection time, costs and disputes.
Read use case →Heavy Machinery Visual QA
Detect leaks, wear and damage from images before faults become costly failures.
Read use case →Footwear Quality Assurance
Detect defects and verify returns across manufacturing, fulfilment and customer returns.
Read use case →Ready to turn images into operational data?
Build visual verification workflows and deploy them through mobile, web, cameras or your existing systems. Deployed in thousands of locations worldwide and ready to scale with your operations.