AI & cloud agency
Production-ready AI and cloud infrastructure, without the guesswork.
We take AI from pilot to production: assistants, agents and private models, on cloud infrastructure your team can run. Every engagement is a two-week sprint with a defined scope and fixed price.
Packages
Priced per sprint · 1 sprint = 2 weeksThe number of sprints is decided during the discovery phaseThese are the projects we've scoped and shipped enough times to price per sprint upfront.
Internal or in-product assistants, AI search and copilot features built on your own data, with evaluations and monitoring from day one.
Agents that act across your CRM, ERP and APIs, with human approvals, full action logging and evaluations built in.
Self-hosted LLMs in your cloud or on-premise, with the GPU and Kubernetes infrastructure underneath.
Governance for every model you use: a gateway with cost controls, per-team access and budgets, audit logs and dashboards.
Strategy and implementation: a single source of truth per environment (Vault, AWS/GCP Secrets Manager, Azure Key Vault), rotation, and app integration.
Automated build, test, and deploy pipelines with on-demand deploys and rollbacks.
Audit, right-sizing, storage tiering, and alerts. Typical savings pay for the sprint within months.
We keep it patched, monitored, and running, with a monthly report and on-call response.
Something not listed? Custom work runs $5,000–$10,000 per sprint depending on complexity. Book a session and we'll scope it.
How we work
Book a session
A free 45-minute call. We look at what you have, what's breaking, and what you want to ship.
Discovery
A $500 engagement. We get into your infrastructure, map what exists, and size the work. Credited back when you book a sprint.
Proposal
A written scope with deliverables, sprint count, and fixed total price, signed off by an authorized executive before any work starts.
Sprint
We work in two-week sprints with a demo at the end of each. You see progress before you pay for more.
Handoff or retain
Everything is documented and handed to your team, or we keep it running on an engineering retainer from $2,000/mo.
Recent work
An in-product assistant built on years of help docs and support tickets, with evaluations and monitoring. It now resolves 60% of tier-1 questions without a human.
An agent that pulls a client's cloud, AI and SaaS billing alongside their org chart, maps every cost to the team and person behind it, and flags waste for review. Every action is logged, and reports that took analysts days now take hours.
Self-hosted open-weight models on GPU node pools, so patient data never leaves their environment. A flat infrastructure cost replaced per-token API fees.
“Our AI pilot sat in a demo environment for eight months. They had it in front of customers in six weeks, with the numbers to prove it works.”
“The model does the tedious part of every chart review, and a clinician still makes the call. That balance is why it got approved.”
FAQ
A sprint is two weeks of focused work against a written scope, ending in a demo and working deliverables. icycloud runs every engagement this way, from AI assistants, agents and private LLM platforms to cloud infrastructure on AWS, GCP, Azure and on-premise. Sprints run $5,000–$10,000+ depending on complexity; engineering retainers start at $2,000/mo.
Discovery is a $500 engagement where we go into your infrastructure and size the work properly. It's what lets us give you a real sprint count and a fixed total instead of a guess. The $500 is credited against your first sprint.
Yes. Discovery covers why it stalled and what it takes to get it into production, whether that's data, evaluations, infrastructure or all three.
Not with the private AI platform. Models, data and logs run in your cloud account or on-premise, and nothing is sent to a third-party provider.
Through the AI control layer: per-team budgets, token-aware rate limits and cost dashboards, so a runaway agent loop never becomes a surprise invoice.
Every build ships with evaluations and monitoring that score answers for accuracy and safety, so quality is measured, not assumed.
OpenAI, Anthropic, Google and open-weight models, routed through one gateway so you can switch providers without rewriting your application.
The sprint scope is fixed. New requests go into the next sprint's scope, priced before it starts, so there are never surprise invoices.
Yes. We can work standalone or embedded with your engineers: PRs, reviews, and documentation go through your normal workflow.
You do, from day one. Everything lives in your repos and your cloud accounts.
Book a session
A free 45-minute call. We'll talk through what you have and whether a discovery makes sense. No pitch, no obligation.