AI Infrastructure & Strategy
High-performance AI requires more than software. It requires a resilient physical foundation of power, cooling, and specialized silicon.
AI Economic Strategy & ROI
We advise boards on the financial mechanics of AI adoption. Our methodology focuses on shifting AI from an experimental R&D cost to a P&L value driver.
Revenue Acceleration
Deploying predictive AI models to identify churn, optimize pricing in real-time, and create automated up-sell funnels through Hyper-Personalization.
OpEx Rationalisation
Using Generative AI (GenAI) to collapse manual administrative overheads in Legal, Compliance, and Finance by up to 40%.
Data Centre & GPU Cluster Engineering
The "HardTech" reality of AI is the primary bottleneck for scale. We provide engineering-led advisory on high-density compute environments.
Advanced Silicon & Hardware Sourcing
- NVIDIA Blackwell B300/GB200: Planning for NVLink Switch System integration and rack-scale liquid cooling readiness.
- AMD Instinct™ MI325X: Benchmarking ROCm™ open software stacks against proprietary alternatives for TCO reduction.
- Sovereign AI Infrastructure: Designing on-premise and "air-gapped" GPU clusters for Defence and CNI applications.
Thermal & Power Engineering
Legacy data centres are often unequipped for the 130kW+ per rack requirements of Blackwell clusters. We can explain and architect how to accommodate these needs in legacy facilities and how to transition to the 600kW to 1MW racks of 2026 and 2027.
- Direct-to-Chip (DTC) Liquid Cooling: Transitioning from legacy air-cooled environments to liquid-loops and rear-door heat exchangers.
- Power Density Audits: Evaluating floor-loading and three-phase power availability for high-density AI nodes.
- Interconnect Fabrics: Architecting InfiniBand NDR and Ultra Ethernet backbones to eliminate GPU idling.
Intelligent Automation & Governance
Moving from basic scripts to Autonomous Agentic Workflows requires a robust safety and audit framework.
The Human-in-the-Loop (HITL) Framework
For high-stakes sectors, we build the governance that allows for automation without loss of control. This is critical for ISO 42001 (AI Management System) compliance.
Process Discovery & Mining: Using AI to map "shadow processes" and identify high-ROI automation targets.
Edge AI Deployment: Running inference on-device to reduce cloud latency and data transit costs in remote or secure environments.
LLM Governance: Managing Hallucination Risk and data leakage through secure Retrieval-Augmented Generation (RAG) architectures.
Engage our AI Advisory Team
From GPU hardware sourcing to board-level AI governance roadmaps.