Production AI systems we've shipped for enterprise teams and software companies — agents, RAG, computer vision and secure infrastructure.
A real-time voice agent for inbound customer support — sub-500ms latency, natural turn-taking, deep integration with the existing CRM — reducing load on human agents by ~40%.
A GraphRAG backend for legal document analysis — clause extraction, cross-document reasoning, and grounded answers over contracts, statutes and case law — used by 1,000+ lawyers in production.
A 24/7 concierge agent that qualifies inbound leads and books property viewings across WhatsApp and Zillow, with full HubSpot integration so the sales team picks up the conversation where the agent left off.
A private, air-gapped LLM infrastructure inside the customer data centre — vLLM serving on NVIDIA A100s — so every AI workload (RAG, summarisation, internal copilots) runs without sending data to public AI APIs.
YOLOv8-based safety monitoring running on edge devices (NVIDIA Jetson) inside the steel plant — 24/7 detection of helmet and high-visibility vest compliance with real-time alerts to the safety team.
An AI knowledge base over 10,000+ pages of technical documentation — equipment manuals, maintenance procedures, safety standards — with hybrid search and grounded answers for plant operators and engineers.
An AI agent that parses Visa and Mastercard rulebooks, predicts interchange fees per transaction and answers internal compliance questions grounded in card-network documentation.
A multi-agent due-diligence system on LangGraph that researches crypto projects across on-chain data, GitHub activity, team signals and social channels — compressing 8 hours of analyst work into roughly 10 minutes.
A real-time product recommender for an e-commerce catalogue — content-based and collaborative signals combined — serving personalised suggestions in under 10ms per request.
Tell us about the data, integrations and constraints. We'll come back with what is worth building — and what is not.
Book a Technical Call