AI engineering & infrastructure partner

Intelligence,
engineered for production.

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.

08
Practice areas, one accountable team
0
Vendor lock-in — you own weights, code & data
EU
Based in Spain · GDPR & AI Act aware
24/7
Managed operations for what we ship

The shift

We spent years shipping software for clients. Now we ship intelligence.

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

Eight practices. One stack.

Engage us for a single practice or the whole path — every layer is designed to work with the others.

Approach

From thesis to throughput.

  1. 01

    Assess

    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.

  2. 02

    Architect

    Reference architecture, model and hosting choices, security posture and a costed roadmap your finance team can defend.

  3. 03

    Build

    Senior engineers ship in short, measured increments. Every model ships with an evaluation suite, not a slide.

  4. 04

    Operate

    Monitoring, retraining, cost control and incident response — or a clean handover to your team with full documentation.

Infrastructure

Compute is strategy. Own it deliberately.

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.

  • —Capacity & TCO modelling: cloud vs. colo vs. on-prem
  • —High-density racks, power and liquid cooling design
  • —GPU fabric networking: InfiniBand & RoCE
  • —Vendor-neutral component procurement & lead-time management
  • —Commissioning, burn-in and managed operations
Data center practice

Why Spiral

Built for the people who sign the cheque.

Production, not pilots

We scope to a measurable business outcome and a live system — not a proof-of-concept that never leaves the lab.

You own everything

Code, weights, datasets, prompts and runbooks are yours. We are model- and vendor-neutral by design.

Security from day zero

Threat modelling, red teaming and data governance are built into every engagement, not bolted on at the end.

Economics you can audit

Every recommendation arrives with a cost model — tokens, GPUs, headcount — so ROI is a number, not a hope.

Senior by default

You work directly with the engineers who design and build your system. No junior bench, no hand-offs.

Sovereign & compliant

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

Ways to work with us.

2–4 weeks

AI Readiness Sprint

A fixed-fee diagnostic: opportunity map, data audit, risk review and a costed 12-month roadmap.

Most requested

Build Program

A dedicated senior squad delivering a defined system — model, harness, integration and infrastructure — against agreed milestones.

Ongoing

Fractional AI Leadership

A retained Head of AI / Chief AI Architect for your leadership team, vendor negotiations and governance.

SLA-backed

Managed AI Operations

We run the models, pipelines and clusters we build: monitoring, retraining, security patching and capacity planning.

Contact

Let's talk about what's at stake.

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.

Areas of interest

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