AI & Data Science

Outcome-Driven AI Solutions

We build production-grade AI systems that deliver measurable business value. From proof-of-concept to scaled deployment, our team combines deep technical expertise with domain knowledge across healthcare, financial services, and enterprise sectors.

Our Approach

We start by understanding your business problem, not the technology. Our process includes:

1. Discovery & Scoping - Identify high-value use cases and define success metrics
2. Data Assessment - Evaluate data readiness and infrastructure requirements
3. Proof of Concept - Validate approach with rapid prototyping
4. Production Deployment - Build scalable, monitored ML pipelines
5. Continuous Improvement - Monitor model performance and retrain as needed

Representative Projects

• Clinical Risk Prediction - Built ML models predicting patient readmission risk with 92% accuracy, enabling proactive care management
• Fraud Detection - Deployed real-time fraud scoring system processing 100K+ transactions daily
• Demand Forecasting - Implemented inventory optimization models reducing carrying costs by 23%