AI & Machine Learning Solutions
End-to-end AI and ML solutions—from data pipelines and model training to production API deployment.
Overview
We build intelligent systems that learn, adapt, and automate. From NLP-powered document processing and recommendation engines to computer vision and predictive analytics, our AI team delivers models that create measurable business value. We use Python, FastAPI, PyTorch, TensorFlow, and scikit-learn, with Redis for caching and vector databases for retrieval-augmented generation.
What's Included
LLM integration & RAG pipelines
Natural Language Processing (NLP)
Computer Vision & OCR
Predictive analytics & forecasting
Recommendation engines
MLOps & model deployment on AWS/GCP
Data pipeline engineering
FAQ
Both. We can work with your existing datasets or design data collection and labelling pipelines to build training datasets.
RAG (Retrieval-Augmented Generation) grounds LLM outputs in your own documents. Yes, we build RAG systems using LangChain, vector databases (Pinecone, ChromaDB), and OpenAI/open-source models.
Yes. We containerise models with Docker, expose them via FastAPI, and deploy on AWS Lambda, EC2, or your own infrastructure.