AI & Machine Learning Consulting

We build purpose-built ML models tailored to your business domain and data. From classification and regression to complex deep learning architectures, every model is designed for production from day one — with proper feature engineering, cross-validation, and benchmark testing before deployment.

The model is the easy part — operating it reliably is the hard part. We implement end-to-end MLOps platforms with automated training pipelines, model registries, feature stores, deployment strategies (blue-green, canary), and monitoring. When drift is detected, the system retrains automatically — not your on-call engineer at 2am.

From quality inspection on manufacturing lines to document processing in financial services, we build production computer vision systems. Object detection, image classification, OCR, and video analysis — deployed on edge devices or cloud infrastructure with real-time inference capabilities.

We build intelligent applications powered by large language models with enterprise-grade architecture. RAG systems with vector databases for domain-specific knowledge, fine-tuned models for specialized tasks, AI agents for workflow automation, and guardrails for safety and compliance. Production-ready, not demo-ready.

Real-time recommendation systems processing millions of events daily. We build two-tower neural networks, collaborative filtering systems, and content-based recommenders with automated A/B testing frameworks. Sub-50ms inference latency with 99.9% uptime for e-commerce, media, and marketplace platforms.