Production, not pilots
We scope to a measurable business outcome and a live system — not a proof-of-concept that never leaves the lab.
AI engineering & infrastructure partner
Spiral helps ambitious companies move from AI pilots to systems that earn their keep. Strategy, custom models and the GPU infrastructure to run them — designed, built and operated by one senior team.
The shift
Spiral started as a hands-on software and IT consultancy. That engineering discipline — scoping tightly, delivering on time, supporting what we build — is exactly what most AI initiatives are missing.
Today we focus entirely on AI: from the board-room decision of where to invest, down to the rack, the power budget and the prompt-injection test suite. One partner, from thesis to hardware.
Capabilities
Engage us for a single practice or the whole path — every layer is designed to work with the others.
Approach
Two to four weeks. We map opportunities against your data, risk and economics, and tell you plainly where AI will and won't pay back.
Reference architecture, model and hosting choices, security posture and a costed roadmap your finance team can defend.
Senior engineers ship in short, measured increments. Every model ships with an evaluation suite, not a slide.
Monitoring, retraining, cost control and incident response — or a clean handover to your team with full documentation.
Infrastructure
Whether you need a private inference cluster, a sovereign training environment or a hybrid that keeps sensitive data on-prem, we design it around your workloads — then source, commission and run it.
Why Spiral
We scope to a measurable business outcome and a live system — not a proof-of-concept that never leaves the lab.
Code, weights, datasets, prompts and runbooks are yours. We are model- and vendor-neutral by design.
Threat modelling, red teaming and data governance are built into every engagement, not bolted on at the end.
Every recommendation arrives with a cost model — tokens, GPUs, headcount — so ROI is a number, not a hope.
You work directly with the engineers who design and build your system. No junior bench, no hand-offs.
EU-based, GDPR-native and ready for the AI Act — with on-prem and private-cloud options when data can't leave the building.
Engagements
2–4 weeks
A fixed-fee diagnostic: opportunity map, data audit, risk review and a costed 12-month roadmap.
Most requested
A dedicated senior squad delivering a defined system — model, harness, integration and infrastructure — against agreed milestones.
Ongoing
A retained Head of AI / Chief AI Architect for your leadership team, vendor negotiations and governance.
SLA-backed
We run the models, pipelines and clusters we build: monitoring, retraining, security patching and capacity planning.
Contact
Tell us about the initiative. A senior engineer — not a sales rep — will reply within one business day to arrange a confidential briefing. NDAs welcome.