What We Do
We build deep convolutional networks that can distinguish objects, scenes, and products with exceptional accuracy. Whether for e-commerce, healthcare, or industrial automation, our classification models are trained for speed and precision.
- Deep Learning CNNs
- Lightning Fast
- Precision Accuracy
Our Workflow
Four essential steps to build production-ready image classification systems
01
Data Labeling
Organize and annotate training datasets with accurate category labels
02
Model Training
Train CNN/ResNet architectures on labeled datasets
03
Testing & Evaluation
Validate model performance with comprehensive metrics
04
Deployment
Deploy to production with scalable infrastructure
Our Technology Stack
Built with the most advanced deep learning frameworks and cloud platforms
🔬
TensorFlow
End-to-end platform for ML
🐼
Keras
High-level neural networks API
🛠️
PyTorch
Dynamic deep learning framework
🛠️
Azure Vision API
Cloud-based computer vision
Classified 2M E-commerce Images with 97% Accuracy
Automated product categorization for a leading online marketplace, processing millions of images daily with exceptional precision and speed.
2M+
Images
97%
Accuracy
80 ms
Per Image
- Reduced manual tagging time by 95%
- Improved search relevance by 40%
- Scalable to 10M+ images with zero downtime
Confusion Matrix
