Understand
Before deciding what to build, we learn how the work actually gets done. We measure where things stand today and agree the KPIs this software should move.
Services
We review your Azure, AWS or GCP setup and bill, clear out unused resources and oversized configurations, and bring the cost down. Then we can take over day-to-day operations, including monitoring, backups and security updates. Start with a cost review.
Test environments, old backups and forgotten virtual machines keep costing money every month.
Capacity sized generously at the start was never brought down to the real load.
Nobody knows what each service or department spends, so nobody can decide what to change.
There is no routine for monitoring and updates, so problems are handled only after they happen.
We go through the bill and the setup, and list what can be cut, the expected savings and the order to do it in.
Removing unused resources, right-sizing, reserved capacity or scheduled shutdowns, and tidying up storage.
Monitoring, alert handling, backups, security updates and incident response.
Tagging and budget alerts so spending can be tracked by service and department.
Moving on-premises servers and applications to the cloud, redesigning as we go.
From understanding your work to making the software stick and improving it — eight steps, with AI at every one. Hire us for all of it, or just the step you need.
Before deciding what to build, we learn how the work actually gets done. We measure where things stand today and agree the KPIs this software should move.
We build in short cycles and check each one against real work early, so the budget goes into what actually matters.
Software only creates value once it's in use. We make it stick, measure what changed, and keep improving — until your own team can run it.
We agree what success looks like before we start, and check it in numbers after launch.
We build, ship and run our own products, so we think like the owner — and we'll push back on features that won't pay off.
We learn how the work really happens before deciding what to build — including whether to build at all.
Rollout, training, maintenance and improvement are part of the job. Software nobody uses creates nothing.
We leave the know-how with your team. Keep us on, or take it over — your choice.
When work gets faster, the time saved is quickly filled by other work — and unless someone measures it, the value the software created simply disappears. So we measure the same process before and after, and you can see exactly what changed.
FOR ENGINEERS
We match billing data against actual usage and start with the changes that save the most with the least impact. Anything that could affect performance or availability is assessed and agreed with you first.
VM and database sizes, nights-and-weekends shutdowns, reservations and Savings Plans, storage tiers and lifecycle rules, log retention, data transfer, and unused IPs and disks.
Where it helps, we bring the setup under code (Bicep, Terraform and similar) so changes are recorded and environments can be reproduced.
We run our own services on Azure and know App Service, Functions, SQL Database, Storage and Container Apps well. We also work with AWS and GCP.
AI helps analyze billing data and logs, review configurations and write runbooks, which shortens a review. People check every change before it is made.
Start by telling us which cloud you use and roughly what it costs each month. From there we begin in one of two ways.
With read-only access, we review the bill and setup and list what can be cut and the expected savings. Your team can carry out the changes if you prefer.
We take over operations alongside the review and put monitoring and update routines in place.
Fixed-scope contracts for work such as a cost review, or time-and-materials engagements for ongoing operations. We do both.
A review can start with read-only access to billing and configuration. For any changes, we agree the work first, then ask for the access it needs.
We start with what is unused or oversized, so usually not. Any change that could have an impact is explained to you first, for your decision.