SiegAI develops custom ML models that adapt to your business data and decision needs. From simple linear regressions to complex deep reinforcement learning, we have the expertise to deploy ML in real-world scenarios.
Our Development Process
- Discovery Workshop
- Requirement Gathering & Use Case Finalization
- Architecture Design & Prototyping
- Model Development & Training
- Integration & Testing
- Deployment & Monitoring
Solutions We Build
- Intelligent CRM and ERP systems
- Predictive analytics dashboards
- AI-based recommendation engines
- Voice-enabled mobile apps
Tools & Technologies
TensorFlow
NLTK
PyTorch
Blueprism
Amazon SageMaker
ONNX
Industry Intelligence
Machine Learning Example
Amazon uses machine learning extensively to forecast demand, optimize inventory, and personalize the user experience.
