Building the AI-native enterprise. Frontier AI, compute, and networking for the world's leading institutions.
Prowys is organised around four practices that take an AI ambition from a blank page to a working system: research, advisory, infrastructure, and implementation. Each is staffed in-house; each can be engaged on its own.
Original intelligence on the AI infrastructure market. Quarterly briefings, sector notes, and co-authored papers — buyer-side, independent of vendors.
Strategy and architecture before procurement. The work that turns an AI ambition into a defensible plan: reference architectures, vendor selection, and the TCO model the board will sign.
Design and delivery of frontier AI compute systems. The hardware, fabric, OS, and serving stack — integrated end to end, committed to a timeline, delivered.
Integration into the institution and life as a production system. Cutover, runbooks, observability, and continuity through the first year of operation by the team that built the system.
A token factory is a turnkey infrastructure stack that transforms raw compute, networking, and storage into billable AI inference tokens, ready to serve enterprise customers, developers, or internal business units on consumption-based pricing.
Prowys assembles the full stack by integrating best-in-class components from a curated partner ecosystem. We design the system end to end, deliver it on a committed timeline, and stay involved through production operation.
Next-generation inference systems with logarithmic math. Air-cooled, super-node capacity, ~10× energy efficiency.
High-throughput Ethernet from 800G to 1.6T. Multi-tenant by design, automated end to end.
A Linux distribution authorised to deliver the full AI software stack. Cluster management, scheduling, containers.
Model serving, KV cache strategy, batch scheduling, and the request router that meets latency and throughput targets.
Token metering, usage and outcome billing, and the margin intelligence that turns inference into a chargeable product.
Billable AI inference tokens, ready to meter and serve to enterprise customers, developers, or internal business units.
Next-generation inference systems with logarithmic math. Air-cooled, super-node capacity, ~10× energy efficiency.
High-throughput Ethernet from 800G to 1.6T. Multi-tenant by design, automated end to end.
A Linux distribution authorised to deliver the full AI software stack. Cluster management, scheduling, containers.
Model serving, KV cache strategy, batch scheduling, and the request router that meets latency and throughput targets.
Token metering, usage and outcome billing, and the margin intelligence that turns inference into a chargeable product.
Billable AI inference tokens, ready to meter and serve to enterprise customers, developers, or internal business units.
We publish quarterly market briefings, standalone papers, sector notes, and co-authored work with partner universities and research labs.
Earlier briefings, sector notes, and co-authored papers are catalogued in the full research index.
All publications →Tell us about your programme.