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AI Engine
Machine learning infrastructure for intelligent features across RCWMAS products
Machine learning infrastructure for intelligent features across RCWMAS products.
The Problem
AI Engine is our research initiative for developing and deploying machine learning capabilities across the ecosystem. Current focus areas include document intelligence, predictive analytics, and natural language processing. The platform provides MLOps infrastructure, model serving, and experimentation tools for our data science teams.
Key Features
Document classification and extraction
Predictive analytics models
NLP for legal and construction documents
MLOps pipeline
A/B testing framework
Technology Stack
- Python
- PyTorch
- FastAPI
- MLflow
- Ray
Roadmap
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