Teach your systems
to see.
Object detection, OCR, quality control, and video analytics. YOLOv8, OpenCV, PyTorch. 50+ shipped.
Afnexis Results
50+
CV systems shipped
in production
97%+
detection accuracy
production models
4-8 wks
to deployment
avg. timeline
4.9/5
client rating
30+ clients
WHAT WE BUILD
Which computer vision system do you need?
Object Detection
YOLOv8 and Detectron2 for real-time detection. Works on live camera feeds or batch image processing.
OCR and Document Scanning
Extract text, tables, and data from scanned PDFs and images. Structured output every time.
Quality Control Automation
Defect detection on production lines. Replaces manual visual inspection with 99%+ accuracy.
Facial Recognition and Biometrics
Face detection, identity verification, and liveness checks. GDPR and CCPA compliant.
Video Analytics
Motion detection, crowd counting, behavior analysis on live or recorded video.
Edge Deployment
Computer vision models running on edge devices (Jetson, Raspberry Pi) without cloud latency.
By Muhammad Aashir Tariq · CEO & Head of AI, Afnexis · Updated April 2026
REAL RESULTS
Numbers from real deployments.
97%+
detection accuracy
production models
50+
CV systems shipped
in production
4.9/5
client rating
30+ clients
<10ms
inference latency
edge deployments
"We automated our quality control line with computer vision. Detection accuracy hit 98.3%. We eliminated 4 manual inspection positions."
Head of Ops · Manufacturing Client · Germany
HOW IT WORKS
From call to production in weeks.
Data Audit
We assess your image dataset, label quality, and define the detection classes.
Train and Eval
Model training with held-out test set. Accuracy target set before training begins.
Deploy
API endpoint or edge device deployment. Real-time or batch. Monitoring included.
PRICING
Fixed price. No surprises.
Ranges from 50+ real projects. Milestone billing. No retainers.
| Project Type | What's Included | Timeline | Starting At |
|---|---|---|---|
| Image Classification | Binary or multi-class model, eval suite, REST API | 2-4 weeks | $12K |
| Object Detection | YOLOv8 or Detectron2, real-time inference, API | 3-5 weeks | $20K |
| OCR Pipeline | Document extraction, structured output, API integration | 3-5 weeks | $18K |
| Full CV Platform | Multi-model system, edge deployment, monitoring, retraining | 8-14 weeks | $70K |
FAQ
Quick answers.
How much training data do I need?
For object detection, 500-1,000 labeled images per class is enough to start. We assess your dataset first and tell you if you need more before scoping.
Can it run on our hardware without cloud?
Yes. We deploy on Nvidia Jetson, Raspberry Pi, and Intel OpenVINO. Edge deployment means no API costs and no latency from cloud round trips.
How accurate is it?
We set accuracy targets in scoping (typically 95%+ for industrial use). If we don't hit the target, we iterate at no extra cost.
Do you handle data labeling?
We coordinate labeling via Label Studio or Roboflow. It's scoped separately. For clients who already have annotated data, we skip this step.
READY TO START?
Let's build your first agent.
30-min call. No pitch. We map the workflow and quote it.