We integrate LLMs, build RAG pipelines, train custom models, and deploy ML systems that work in production — not just notebooks. Real AI for real business impact.
Get a Free Quote →Chat interfaces, AI assistants, copilots, and document Q&A powered by GPT-4o, Claude, Gemini.
Personalisation engines, content recommendation, and collaborative filtering.
Every layer covered by one expert team.
Production-grade LLM integration with streaming, tool calling, and cost optimisation.
Build retrieval-augmented generation systems over your private documents and databases.
Multi-agent frameworks for complex, multi-step autonomous workflows.
Fine-tune open-source and proprietary LLMs on your domain data.
Production ML infrastructure — model serving, monitoring, and retraining pipelines.
Rigorous evaluation frameworks to measure and improve your AI system quality.
A transparent, tested process honed across hundreds of projects.
Define the AI use case, success metrics, data availability, and build-vs-buy decision.
Audit available data, identify gaps, define data pipeline requirements.
System design: model selection, vector store, API design, latency budget, cost model.
Build ingestion, embedding, retrieval, and generation pipeline with evaluation at each step.
Benchmark against defined metrics. Prompt engineering, retrieval tuning, fine-tuning if needed.
Deploy with monitoring, cost controls, rate limiting, and guardrails in place.
"Their RAG pipeline for our legal document search cut associate research time by 70%. The evaluation framework they built lets us track quality improvements every sprint."
"Fine-tuned a claims classification model from 67% to 94% accuracy. Then built the MLOps pipeline so we retrain weekly automatically. Outstanding work."
Straight answers before you decide.
Data pipelines feeding your AI.
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