We integrate LLMs, build RAG pipelines, and deploy ML systems that run at scale. Our ML veterans have shipped AI products serving billions of inferences daily.
From LLM-powered copilots to full MLOps pipelines — we bring every layer of the AI stack in-house.
Integrate frontier language models into your product — with system prompt engineering, function calling, streaming, and cost optimisation baked in from day one.
Retrieval-Augmented Generation systems that ground LLMs in your proprietary data — using vector databases, chunking strategies, and hybrid search for accuracy.
Automated extraction, classification, and summarisation of contracts, invoices, support tickets, and unstructured documents at enterprise scale.
Object detection, image classification, OCR, and video analytics pipelines — deployed on edge devices or cloud GPU clusters depending on your latency requirements.
Personalisation systems that surface the right product, content, or action for each user — using collaborative filtering, content-based models, and real-time ranking.
End-to-end ML pipelines with automated retraining, drift detection, A/B model experiments, and latency-aware serving using MLflow, Vertex AI, or SageMaker.
We work with the full modern AI/ML ecosystem — from frontier models to production infrastructure.
We follow a rigorous ML delivery process that keeps every project on time and on target.
Tell us your use case — we'll scope a production-ready AI solution with clear timelines and measurable outcomes.