From factory floor
to AI insights —
days, not months.
AI-powered visual inspection for server and PCB manufacturers. We handle setup, training, and go-live — you just approve the results.
not months — from first camera to live results
to build a production-ready model
detection accuracy
replacement needed
Trusted by engineers at:
Pilot customers — details under NDA
The Problem
Production lines generate entropy. We eliminate it.
Every PCB, every server board, every production run introduces variation. Most detection systems take months to deploy and create more process overhead than they eliminate.
Months to deploy, not days
Traditional vision systems require custom hardware, 6-month integrations, and 500+ training samples before you see a single result. By then, defective units have already shipped.
Hardware lock-in kills flexibility
Every new SKU, new line, or new facility means ripping out and replacing equipment. High-mix manufacturers can't afford a system that breaks every time the product changes.
Defects escape to customers
Manual inspection misses subtle anomalies at production speed. Zero-escape goals stay goals. Engineers spend hours on failure analysis instead of improving yield.
How It Works
We handle everything. You go live faster than you think.
We connect
Our team connects to your existing cameras and test stations — no new hardware, no IT tickets, no facility downtime. We handle all camera configuration and stream setup.
Supports GigE, USB3, RTSP streams, and legacy camera APIs out of the box.
We train
We run known-good units through your line and build a precision defect model on your actual product — not generic training data. As few as 5–20 units is enough.
Proprietary few-shot learning. No cloud upload required for air-gapped facilities.
You go live
We validate accuracy together, you approve, we flip the switch. From that point, Nropy flags anomalies in real time and routes defects directly to your quality team.
Integrates with MES, Jira, Slack, or your existing quality management system.
Pilot to production in weeks, not quarters.
Our pilots are structured for immediate ROI — not to prove the technology, but to prove value on your line.
Live Product Demo
See Nropy in action.
Watch the full inspection cycle — unit enters, AI detects, verdict issued, unit routed. Loops automatically.
INSPECTED
2,875
today / JPW-1
DEFECT RATE
3.2%
↑ vs yesterday
MODEL MAP
99.1%
@0.5 threshold
INFERENCE
1.8ms
TensorRT INT8
DEFECT TREND — 8H
INSPECTION QUEUE
Simulated inspection loop · Real inference at 1.8ms/frame · Actual UI may vary
Why Nropy
Enterprise-grade AI without the enterprise integration nightmare.
Platform
Built for quality engineers. Not IT departments.
Visual Inspection AI
Real-time defect detection on solder joints, component placement, and surface anomalies. Processes full-board images at production line speed with sub-millimeter precision.
- Solder joint analysis
- Component presence/polarity
- Surface defect classification
Root Cause Analysis
When defects cluster, Nropy traces patterns across shifts, operators, stencils, and reflow profiles — surfacing the root cause before engineering even opens a ticket.
- Defect clustering
- Pareto analysis
- Shift-level correlation
High-Mix Support
Switch between dozens of PCB designs without retraining. Nropy's per-product models load in seconds, so changeovers don't mean inspection gaps.
- Per-SKU model loading
- Instant changeover
- Version-controlled baselines
Air-Gapped Deployment
For facilities with strict data sovereignty requirements: full on-premises deployment, zero cloud dependency, and isolated network support. Common in defense and hyperscaler supply chains.
- On-premises compute
- No cloud dependency
- ITAR-friendly architecture
Daily Line Briefing
Every morning, before you reach the floor, Nropy sends a plain-English summary of your last shift — top defect types, yield changes, and anything that needs attention. Two minutes to fully caught up.
- Auto-generated shift summaries
- Delivered by email or Slack
- No dashboard required
From the Founder
Built by engineers who've been on the factory floor.
We built Nropy after spending years watching defects escape manual inspection at scale inside Tier-1 server and electronics manufacturers. The AI technology existed. The problem was always deployment — six-month integrations, custom hardware, 500-sample training requirements before you saw a single result. By the time the system was live, the production run had already shipped.
Nropy is the system we wished existed. Deployed in weeks, trained on your actual product, running on your existing cameras.
Ali Lenjani
Founder & CEO, Nropy
Former ML Engineer — Computer Vision & AI Infrastructure
Founder photo
280 × 320
Field Results
Numbers that matter on the line.
From camera to first detection
We connect to your existing cameras, train on your actual units, and deliver live defect results — no IT project required.
No integration sprints. No facility downtime.
Detection accuracy
Measured on solder joint defects and component placement across customer production lines.
Measured against manual inspection ground truth.
To train a production-ready model
Proprietary few-shot learning means you don't need 500+ labeled samples before going live.
vs. 500+ units for traditional vision systems.
Pilot to production
Our pilots are structured for immediate ROI — not to prove the technology, but to prove value on your line.
Supports GigE, USB3, RTSP, and legacy camera APIs.
Intelligence
Your line report, ready before you arrive.
Nropy distills your entire production run into a clear, two-minute briefing — defect counts, yield trends, and anything that needs your attention. Delivered to your inbox or Slack before you reach the floor. No login. No dashboard. Just the signal.
- Last shift summary — Defects, yield, and line status — in plain English
- Anomaly alerts — Only fires when something actually needs you
- Inbox or Slack — Meets you where you already are, no app to open
Get Started
Your line. Our AI. Results in days.
Tell us about your line. We'll scope a no-risk pilot, connect to your cameras, train on your actual units, and validate accuracy — before you commit to anything.
- We connect to your existing cameras — no new hardware
- We train on your actual product, not generic datasets
- We validate and go live together — you approve every step
- Self-hosted or cloud — your choice, your data stays yours