Inconsistent decisions
Manual checks vary by operator, shift, fatigue, and product complexity.
AI manufacturing quality technology from Lithuania
Practical AI quality solutions for manufacturing
AKURIS helps small and medium manufacturers detect visual defects, reduce manual inspection errors, and improve quality control with practical AI hardware and software.
Built for SME manufacturers
Practical deployment
Engineering-led support
Quality control pressure
Manual inspection is difficult to scale reliably
Manufacturers need consistent quality decisions without turning every inspection improvement into a large automation project.
Hidden quality costs
Visual defects can create rework, scrap, returns, and customer claims.
Enterprise systems are too heavy
Many automation platforms are expensive and complex for SME production realities.
Main product
Meet AI-EYE
AI-EYE is an affordable AI-powered visual inspection system for manufacturing quality control. It combines practical inspection hardware, computer vision software, and implementation support so manufacturers can start with a focused pilot instead of a complex enterprise automation project.
Explore AI-EYE
AI-EYE is configured around the actual inspection task, not a generic AI demo.
Manufacturing impact
Designed for practical manufacturing impact
AI-EYE helps teams improve visual inspection one real use case at a time.
Detect visual defects earlier
Identify suspect parts closer to the point of production.
Reduce manual inspection errors
Support operators with consistent AI-assisted inspection logic.
Improve quality data and traceability
Build better visual evidence for recurring issues and process learning.
Start with a focused pilot project
Validate fit before considering a wider production deployment.
Inspection workflow
From part image to quality decision
A simple process for turning visual inspection tasks into measurable quality checks.
Capture
Industrial camera captures the part or surface.
Analyze
AI-EYE analyzes visual patterns against quality criteria.
Decide
The system flags suspected defects or pass/fail results.
Improve
Feedback improves inspection reliability over time.
Example use cases
For manufacturers where visual quality matters
AI-EYE can be scoped around real product surfaces, defect categories, and inspection workflows. Example use cases may include:
Plastics
Metal parts
Electronics
Packaging
Furniture & wood
Textiles
Food packaging
Assembly checks
AKURIS team
Engineering-led support from Lithuania
A focused pilot should feel practical, clear, and personal. AKURIS works directly with manufacturers to understand the inspection task before recommending next steps.
Ignas
CEO / Co-Founder
Erikas
CTO / Co-Founder
Edgaras
Operations & IT Lead
Pilot-first approach
Start with a focused AI-EYE pilot
Validate detection quality, workflow fit, and business value on a real product, line, or inspection task.