Precision That Sees. Intelligence That Acts.
AI Vision Systems
That Spot What Rules Can’t
We build AI-powered vision systems that don’t break under pressure—no matter the lighting, part variation, or inspection edge case. Whether you're building electronics, testing samples, or packaging high-speed SKUs, our modular AI vision deploys in days, improves over time, and gives you the confidence to scale.

What We Offer
If any of these sound like you—you’re exactly who we help.
Zero-Coding Model Training
Train inspection logic with images—not code. Just tag defects, and our system learns the rest.
Lighting-Resilient AI
Models are trained to handle glare, shadows, poor contrast, and background noise—no extra lighting setup required.
Real-Time Edge Deployment
Models run on edge devices in milliseconds, with automatic confidence-based decision reporting to your MES or PLC.
What You're Dealing With vs. What We Deliver
With OspreyX
Before OspreyX
AI vision trained for glare, reflections, shadows, and background noise—no perfect lighting needed.
Defects get missed unless lighting is perfect or parts are exactly aligned.
Adaptive deep learning catches cosmetic, structural, and edge-case failures automatically.
Rules-based vision can't catch subtle defects or adapt to new ones.
Plug-and-play models run on your existing cameras and deploy in under a week.
Teams waste weeks tuning lighting, angles, and filters.
Retrain models with just a few images—no code, no AI engineers required.
Need engineers to retrain models or update inspection logic.
Confidence-scored results with optional human-in-the-loop fallback—reliability and precision in balance.
False positives keep interrupting the line—or worse, bad units slip through.
Self-learn
Improves accuracy every cycle
Built-in feedback loop adjusts models on the edge, with zero cloud.
48 hours
Upload samples, deploy models fast
Visual tagging only. No coding. Edge logic ready in 2 days.
Start small
Validate one cell, grow fast
PoC bundle runs offline. Upgrade path to multi-line in place.