Advanced Analytics & AI
Predictive Models & Machine Learning
Custom ML models that turn historical data into forward-looking insights. From demand forecasting and customer segmentation to anomaly detection and LLM-powered workflows — we take models from proof-of-concept to production.
What We Deliver
- Demand forecasting models that improve inventory planning and reduce waste
- Customer segmentation and churn prediction that drive targeted retention strategies
- Anomaly detection systems for fraud, quality control, and operational monitoring
- NLP and text analytics — sentiment analysis, document classification, and entity extraction
- LLM-powered solutions — RAG architectures, semantic search, and intelligent document processing
- MLOps infrastructure for model versioning, monitoring, and automated retraining
Our Approach
We do not believe in models that only work in notebooks. Every model we build is designed for production from day one: version-controlled, tested, monitored, and wrapped in APIs that your applications can consume.
Our process starts with a rapid proof-of-concept (typically 4-6 weeks) to validate feasibility and business value before investing in full production deployment. This de-risks the project and ensures alignment on expectations.
Technologies
Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, Weights & Biases, LangChain, LlamaIndex, Pinecone, FastAPI, Docker, Kubernetes.