AI & ML Development

AI systems engineered for production.

LLM integration, RAG pipelines, and AI agents engineered to run reliably in production for teams in the US, UK, Australia, and the UAE who need AI that ships, not a proof of concept.

Overview

Most AI features die in the gap between a working demo and a production system that handles real users, real load, and real failure modes. We close that gap: LLM integration, retrieval-augmented generation (RAG) pipelines, and autonomous AI agents built with the same engineering discipline as any other production system input validation at every model boundary, monitored and rate-limited inference endpoints, human-reviewable fallbacks for low-confidence outputs, and adversarial testing before launch, not after an incident. We work with startups and enterprises across the US, UK, Australia, and UAE who need AI capability built into real product workflows, not bolted on as a chatbot widget.

What We Do

LLM integration & RAG pipelines

Retrieval-augmented generation built on your own data, with input validation and monitoring at every model boundary not a raw API call wired to a text box.

AI agents with bounded autonomy

Agents that can call tools and take multi-step actions, scoped to least-privilege access, with human approval gates on anything irreversible and full action tracing for every decision.

Model evaluation & adversarial testing

Testing against inputs designed to break the model before launch prompt injection, malformed data, edge cases not just the happy path.

Production AI infrastructure

Authenticated, rate-limited inference endpoints monitored like any other production service, with human-reviewable fallbacks when model confidence is low.

Computer vision & video analytics

Camera streams processed with OpenCV for real-time detection and tracking turning raw video into structured data like occupancy, dwell time, and usage patterns.