Service

Artificial Intelligence & Machine Learning

AI that runs in production, scales with your business, and delivers outcomes you can measure.

Overview

Building a model is the easy part. Getting it to production, keeping it accurate, and connecting it to real business workflows — that's where most AI projects fail. Qcentra's AI & ML practice covers the full lifecycle: from problem framing and feature engineering to model deployment, monitoring, and retraining. We build on Azure OpenAI, Amazon Bedrock, Google Vertex AI, and AWS SageMaker — and bring deep expertise in both traditional ML and generative AI applications tailored to enterprise contexts.

Capabilities

Predictive modeling: demand forecasting, churn prediction, risk scoring, anomaly detection
Natural language processing: document intelligence, sentiment analysis, entity extraction
Computer vision: quality inspection, document processing, object detection
Generative AI application development (RAG architectures, LLM fine-tuning, AI agents)
MLOps and model lifecycle management (CI/CD for ML, drift detection, retraining pipelines)
Responsible AI frameworks: explainability, bias detection, model governance