We work in small, senior teams — data scientists partnering with a principal AI architect — across the full arc of an AI system.
Multi-step agents that reason, plan and call tools across your stack. Research copilots, ops automation, autonomous workflows — with guardrails and evaluation baked in.
Classical and modern ML for forecasting, ranking, recommendation, anomaly detection and personalisation — with the plumbing to keep it healthy in production.
Retrieval-augmented generation, extraction, summarisation, classification and reasoning built on modern LLMs — grounded in your data, evaluated against your tasks.
Vision, sequence and multimodal models — from research prototypes to hardened, observable services. We work across PyTorch, JAX and modern serving stacks.
Sit with our Principal AI Architect to frame the right problem, choose the right approach and design a system your team can actually operate.
Already have AI in production? We audit, tune and stabilise — improving quality, cost and latency, and building the evaluation muscle your team needs.