Built with the best stack.

We are cloud-agnostic and certified on both AWS and GCP. For most enterprise engagements we recommend GCP (Vertex AI, BigQuery) for AI workloads and AWS for general-purpose cloud infrastructure. For classified or government work, all processing is on-premise — no cloud.

Yes — always. We review your existing technology landscape in the first brief and build around it where possible. We do not rip and replace unless the architecture genuinely demands it.

Yes. A significant portion of our work involves air-gapped, LAN-only, or zero-egress deployments for defence and government clients. We have experience deploying full-stack AI systems on isolated networks with no internet connectivity.

We provision on-premise GPU clusters (NVIDIA A100, H100) or use dedicated cloud GPU instances that are then decommissioned. For classified data, all training happens on client-controlled hardware. We handle the full pipeline: data preparation, training, quantisation (GGUF), and deployment.

We practice test-driven development (TDD) for all backend services and maintain a minimum 80% unit test coverage. For AI systems, we maintain evaluation datasets and run regression tests against model performance benchmarks. All deployments go through staging environments with automated integration tests.