Building leadership teams in the US and EMEA across:

GPU clouds, inference platforms and orchestration-heavy AI runtime environments where models move from experimentation into production.

We work with the companies building and operating the infrastructure behind AI at scale. From training and inference platforms through to model serving and orchestration, these organisations are solving for performance, cost, reliability and scale in accelerator-intensive environments.

Streaming architectures, real-time pipelines and production data platforms that underpin reliable analytics, ML and AI workloads.

We work with companies building and operating the platforms that capture, move and operationalise data in real time. This spans event-driven and streaming architectures, low-latency pipelines, and the observability, governance and quality layers that make data usable at scale.

Performance-oriented, cloud-native compute platforms running large-scale AI and data workloads in production.

We partner with companies delivering the cloud and compute environments underpinning AI and data at scale. This includes distributed systems, GPU-enabled and specialised compute environments, and the infrastructure layers supporting high-performance, globally deployed platforms.