Cloud, AI and security, layer by layer.
We help engineering teams spend less on their cloud, respond faster and prove their environment is secure. And we take AI to production on their own platform, with data under control and predictable cost. We work on AWS, Google Cloud, Azure and Oracle Cloud; the method works for any cloud.
Three service lines, one team.
Every line starts with a ten-day assessment and read-only access. From there, we act where the impact per euro invested is highest. We deliver on AWS, Google Cloud, Azure and Oracle Cloud.
Cost optimisation, performance and architecture
We cut the cloud bill without losing capacity, lower latency where it hurts and design or migrate platforms that scale without surprises. Current specialisation in AWS.
- FinOps: rightsizing, usage commitments and efficient instances
- p99 latency, database tuning and autoscaling
- Landing zone, migrations and Well-Architected Reviews
- Infrastructure as code and monthly operations
Assistants, agents and models in production
From pilot to production in your own cloud. Your data never leaves your private network, every answer is traceable and the cost per query is known before launch.
- RAG over your documentation with inherited permissions
- Agents that run tasks with human approval
- Document extraction and classification
- Internal AI platform with evaluation and spend control
A verifiable security posture
We audit identities, network, data and deployment pipeline. We prioritise by real risk, fix in code and leave detection running.
- Audit of identities, accounts, network and encryption
- Remediation as infrastructure as code
- Automated detection and response with your cloud's native tools
- Preparation for ISO 27001, ENS, SOC 2 and PCI DSS
Start with what keeps you up at night.
Many clients arrive for one line and end up using two. This map helps you decide where to begin.
| If this sounds familiar | Service line | First step | Timeframe |
|---|---|---|---|
| The cloud bill keeps rising and nobody can explain why | Cloud | Cost assessment by layer and by team | 10 days |
| The API degrades at peak and autoscaling arrives too late | Cloud | Load tests and p50 / p95 / p99 latency profile | 2 weeks |
| You want an assistant over your documentation or an agent that does tasks | Applied AI | Use-case discovery and evaluated prototype | 3 to 4 weeks |
| An ISO, ENS or SOC 2 audit is on the horizon | Security | Posture review with control map | 10 days |
| There are old access keys, wildcard policies and nobody reviews them | Security | IAM audit and remediation of critical findings | 10 days + 4 weeks |
| You are migrating from a data centre or another cloud | Cloud | Landing zone and wave-based migration plan | Tailored |
The same way of working across all three lines.
Closed phases with concrete deliverables. You can stop at any of them and keep the report.
Assessment
10 days · read-only accessInventory, prioritised findings and figures: cost per layer, latencies, risks or AI use cases with estimated return.
Plan
1 weekRoadmap with impact, effort and dependencies. Every action carries a number: euros per month, milliseconds or risk.
Execution
4 to 12 weeksChanges as infrastructure as code, reviewed by your team and deployed environment by environment.
Operations
Monthly, optionalPeriodic review, shared on-call and training so your team can run it on its own.
Engineers who have run production, not just slide decks.
Nimbustrata grew out of years running cloud platforms for software, e-commerce and financial services companies. We know what a 3 a.m. incident costs and what an unexplained bill costs.
We are a small, senior team. The person who does the assessment is the same person who executes the changes. We started with AWS because that is where we have operated most; today we also cover Google Cloud, Azure and Oracle Cloud with the same tools.
Start with a free assessment.
Tell us what your environment looks like and what worries you. Within 48 hours we will tell you whether we can help and what the first step would be.