The industrial AI lab where your solution is
proven before it goes live
We turn automation concepts into working proofs of concept — testing them on actual parts and industrial hardware before you ever install them on your production line.
From concept to production-ready, without production risk
Deploying AI directly on a live production line is expensive and risky. QLAB removes that risk. Inside our laboratory we reproduce your production conditions — parts, motion, optics, lighting, compute — and take your project all the way to a fully working, lab-tested proof of concept.
Full industrial vision setups: cameras, lenses, lighting, filters, conveyors and robot arms configured for your use case
AI models custom-trained and benchmarked on images of your real parts
Edge AI deployment tested on the same class of industrial hardware that will run in your plant
Clear, measurable acceptance criteria before the go/no-go decision for production
A complete industrial AI environment, under one roof
Everything needed to build, test and demonstrate industrial visual AI and custom AI-agent solutions — permanently available in our laboratory.
Industrial Edge AI Server
High-performance GPU compute for training and running the latest neural network models at the edge.
Industrial Edge AI Computers
Rugged, fanless edge computers — the same class of devices that later run your solution on the line.
Robot Arms
Robotic handling for pick & place, part presentation and automated inspection scenarios.
Conveyors
Belt systems that reproduce real production flow, speeds and part movement in the lab.
Industrial 2D Cameras
High-resolution machine-vision cameras for inspection, measurement and monitoring tasks.
Industrial Lenses & Filters
Precision optics and optical filters matched to each part, defect type and working distance.
Industrial Lighting
Ring, bar and dome lights plus structured illumination — the foundation of reliable vision AI.
High-Precision 3D Scanner
Sub-millimetre 3D scanning for metrology, geometry checks and digital-twin part models.
Inspection Stands & Tables
Configurable stands and tables for repeatable positioning of parts, cameras and lighting.
Latest AI Models
State-of-the-art neural networks — detection, segmentation, anomaly detection, agentic AI — trained custom for every project.
Excellent Technology Stack
Modern, proven software engineering across the full pipeline: acquisition, AI, integration, MES/ERP connectivity.
Expert Engineering Team
Engineers highly trained in software development, optics, AI and industrial engineering.
How we work
Every QLAB project follows a disciplined path that ends with a proof of concept tested on industrial hardware and your real parts.
Discovery & Feasibility
We analyse your process, parts and quality requirements, and define measurable success criteria.
Lab Cell Setup
We build your inspection cell in QLAB: cameras, optics, lighting, motion and edge compute.
Custom AI Training
We capture data on your real parts and train dedicated, state-of-the-art AI models for your case.
Lab-Tested PoC
The complete solution runs end-to-end in the lab and is validated against the agreed criteria.
Production Rollout
Only then do we deploy to your production environment — predictably, with minimal disruption.
Powered by SYONEEX.AI
QLAB projects are built on QUALTEH's SYONEEX.AI platform — combining industrial computer vision with agentic AI.
VISYA
Industrial visual AI for quality inspection, OK/NOT OK decisions, step-by-step production monitoring and data analysis for continuous improvement — 24/7, at any scale.
Discover VISYA →AI AgentSYA
Custom AI agents that give employees, partners and customers direct, intelligent access to your company's systems, documentation and knowledge — no digging, no friction.
Discover SYA →Engineers who speak software, optics, AI — and factory floor
QLAB is run by a multidisciplinary team of highly trained engineers. We combine deep software craftsmanship with hands-on expertise in machine-vision optics, AI model development and industrial engineering — so your project is handled end-to-end by one team.
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