Artificial intelligence & agents

We design and build intelligent applications powered by state-of-the-art AI models.

Models are improving faster than most organisations can absorb them. The hard part is no longer a convincing demo. It is a system that answers correctly on your data, respects your access rules and keeps doing so at a cost you can predict. We design and build those systems, from the first agent to the inference layer that serves it.

What we do

Generative AI, LLMs and agentic systems

Applications built on large language models and designed around a measurable task. We define evaluation sets early so that quality is tested, not assumed.

Autonomous AI agents and orchestration

Agents that call tools, query data and complete multi-step work, with the tracing and human checkpoints needed to run them in production. We keep the harness around the model as lean as the task allows.

Private AI inference and model optimisation

Open-weight models served on infrastructure you control, down to air-gapped workstations. We size the hardware, tune throughput and latency, and adapt models to your domain.

RAG, knowledge systems and enterprise AI integration

Retrieval pipelines that ground answers in your documents and databases, connected to the systems your teams already use and bound by the permissions those systems enforce.

Questions we help answer

Which of our use cases justify an agent, and which need simpler automation?
Can we run capable models inside our own infrastructure, and at what cost per task?
How do we measure whether an AI system is right often enough to be trusted?

Related work

AdTech

Real-time contextual ad engine

Embedding-based matching across more than 2 billion daily impressions.

click-through rate

3×
matching latency

<30 ms