Cloud-agnostic AI deployment
We deploy where you need us to: AWS, Google Cloud, Azure, regional providers (OVHcloud, Hetzner, Scaleway), or on-premise. Particularly relevant for European clients with data residency requirements.
Service
AI Infrastructure & Deployment
Production AI infrastructure built for the cloud you choose.
AI workloads have their own infrastructure needs: token cost tracking, response caching, multi-model routing, drift monitoring, on-prem hosting where compliance requires it. We're an AWS Partner, but we deploy where your business needs to operate.
Where we focus.
Six application areas where this service ships measurable results, chosen against the failure modes most growing businesses hit.
AI observability & monitoring
Distributed tracing, drift monitoring, latency alerts, cost dashboards. You know about problems before customers do.
AI cost optimisation
Token usage instrumented per workflow, caching layers, smaller-model routing for high-volume tasks. Typical engagement finds 30-60% savings.
Model serving & inference platforms
GPU pools with auto-scaling, vLLM and Triton for self-hosted models, batch and real-time queues. Built so a traffic spike doesn't bankrupt you or stall the product.
RAG infrastructure
Vector databases, ingestion and chunking pipelines, freshness automation, and an eval harness that catches retrieval regressions before users do.
Data residency & on-prem deployments
EU, UK, India, and Saudi data residency. Healthcare and fintech on-prem. Confidential-compute environments where sensitive data can't leave the customer's perimeter.
Related work
Where we've shipped this in production.
B2B SAAS · OUR OWN PRODUCT CampaignHQ
AWS-native customer engagement platform we built, run, and operate at production scale. AWS Partner.
Read case study ->
FINTECH · YC S20 Volopay
Production fintech infrastructure operating across six countries: observability, compliance, and uptime expected of a $30M fintech.
Read case study ->
ENTERTAINMENT · UK Flickd
Production AI social platform built to handle real traffic and real customers. Infrastructure that scales with engagement, not just downloads.
Read case study ->FAQ
Do you only deploy on AWS? +
No. AWS is our most common cloud (we're an AWS Partner), but we deploy on Google Cloud, Azure, regional European providers (OVHcloud, Hetzner, Scaleway), and on-prem. Cloud choice belongs to the client.
Can you migrate us from another cloud or hosting? +
Yes. We migrate from Heroku, DigitalOcean, on-prem, or other clouds. Zero-downtime migrations with data preservation. 4-8 weeks depending on complexity.
How do you keep AI costs under control? +
Token usage is instrumented from day one. We use smaller models (Haiku, GPT-4o Mini) for high-volume tasks, implement caching for repeated queries, and set per-workflow cost budgets. Quarterly cost forecasts.
Do you handle compliance: HIPAA, SOC 2, PCI? +
We can implement to compliance requirements. We don't hold certifications ourselves, we work with your compliance team during scoping to architect the controls each regime demands.
What does a typical infrastructure engagement look like? +
Greenfield setup runs 2-4 weeks. Cloud or platform migration takes 4-8 weeks depending on data volume and downtime tolerance. An AI cost-and-reliability audit usually finishes in 2-4 weeks with a written report. Ongoing monitoring and DevOps support is structured as a monthly retainer.
Tell us what you're solving for.
We'll listen first, ask the right questions, and follow up with a clear proposal.