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Cost at scale
Real projected spend at 10x current usage, not just the list price on day one.
AWS, Azure and Google Cloud give us the elastic compute, managed services and global reach to launch products that scale from first user to first million.
Why this partnership exists
We hold direct technical relationships with the major cloud providers, so architecture decisions are backed by their engineering guidance, not just their documentation.
The right cloud choice is an architecture decision, not a preference.
We used to pick a cloud provider by default and adapt the architecture around it. That backwards approach cost clients money on workloads that didn't fit the platform.
Now we hold working relationships across the major providers, so we recommend the platform that fits the product's actual traffic, compliance and cost profile, not just the one we happen to know best.
Every workload gets matched against the same checklist before it lands on a provider.
Real projected spend at 10x current usage, not just the list price on day one.
Databases, queues and AI infrastructure that match the workload instead of forcing a rebuild later.
Data sovereignty and regulatory requirements mapped before a single region is chosen.
Architecture kept portable enough that a provider is a decision, not a trap.
Cloud architecture reviewed the same way we review code, before it ships, not after it breaks.
Traffic patterns, compliance needs and budget shape the provider recommendation.
Infrastructure-as-code from day one, so environments are reproducible and reviewable.
Staged rollout with autoscaling and cost alerts configured before real traffic arrives.
Ongoing right-sizing so the bill tracks actual usage, not initial guesswork.
Infrastructure that scales quietly, and a bill that makes sense.
The cloud should disappear into the product experience, not show up as a surprise line item.
That means autoscaling that actually holds under real load, monitoring that catches drift before it becomes a bill, and architecture the client's own team can eventually read and maintain.
Whichever provider the workload lands on, the standard is the same: it should feel like infrastructure the client's own senior engineers would have chosen.
For the rest of our partner network, see all partners or talk to us.