Overview
We deploy Generative AI responsibly and at scale. Our GenAI practice builds retrieval-augmented generation (RAG) systems, AI copilots and assistants, document intelligence (extraction, classification, summarisation), code generation tools, and workflow automation agents — all with evaluation frameworks, guardrails and human-in-the-loop review built in.
We work with open-source and proprietary models (Llama, Mistral, GPT, Claude, Gemini) and implement RAG with vector databases (Pinecone, Weaviate, Qdrant, pgvector), reranking, query rewriting and hybrid search. Every deployment includes prompt engineering, prompt injection protection, PII redaction, output validation and continuous evaluation against golden datasets.
How AI Powers This Service
We live what we build — every engagement benefits from AI itself:
• Automated Prompt Optimisation — DSPy and prompt-tuning for quality
• RAG Evaluation — retrieval and generation metrics with synthetic benchmarks
• Guardrail Automation — PII, toxicity, hallucination and policy checks
• Synthetic Data Generation — privacy-safe evaluation datasets
• Multi-Model Routing — intelligent model selection by task and cost