From Samples to Smart Models: We Handle the Data
Spectron’s curated training pipeline gets you to accurate inspection in under 2 weeks. We take care of the entire training pipeline.
Sample Collection & Defect Catalogues
You provide real production samples or visuals from past defects.
Can be in the form of your standard defect catalogue.
This forms the foundation of your inspection logic and defect taxonomy
Synthetic Data Generation & Curation
Automatically generates photorealistic defects across sizes, densities, lighting, and materials
Covers variability that doesn’t show up in limited real-world samples
No manual labeling needed—our pipeline handles it all
Synthetic DataAI Model Training
Trained by our in-house vision experts and PhDs
Defect detection model tailored to your product, using the curated dataset.
Ready for inspection in under 24 hours per product variant
We Handle the Data, So You Don’t Have To
Spectron’s AI doesn’t just detect defects, it understands your products.
Our system is built to make AI quality inspection deployable, reliable, and scalable. At the core is our synthetic data engine, which allows us to train production-ready models from just a single good part scan. No need for thousands of manually labeled defect samples.
Your team doesn’t need to collect, clean, or annotate anything.
Fast to Deploy. Even Faster to Adapt.
Traditional AI systems stall at ~80% accuracy with massive effort. Spectron breaks that ceiling. Thanks to synthetic data and pre-trained visual intelligence, we can go from zero to production in under 2 weeks and continuously improve from there.
Pre-deployment feasibility checks
On-premise inference (no cloud dependence)
Plug-and-play with your existing cameras or compute stack
Synthetic dataHuman-in-the-Loop (HITL) Feedback
Engineers can accept/reject detections in real-world inspections
Feedback loops directly into retraining pipelines
Enables continuous improvement and confidence as new defect types emerge
Platform Configuration