AI-Native Engineering · Cloud Engineering
We architect, build, migrate and scale cloud-native infrastructure — on AWS, Azure and GCP — built for reliability and cost from the first decision. AI is woven through how we deliver it, from architecture to infrastructure-as-code, so you scale faster and run leaner. This is the floor your product stands on.
Getting onto the cloud is the easy part. Building cloud that scales reliably, doesn't fall over under load, and doesn't quietly burn money is where it gets hard. Most setups are over-provisioned, fragile in the wrong places, and impossible to reason about by the time it actually matters.
Over-provisioned and unoptimized, so the bill climbs faster than the usage behind it.
Fine in the demo, falls over under real load — and no one's quite sure why.
Moved to the cloud but not built for it, so you pay cloud prices for on-prem habits.
Infrastructure no one can reason about, change safely, or reproduce from scratch.
Scalable, cloud-native architecture designed around your workload — not a one-size-fits-all template.
Move to the cloud, or off legacy infrastructure, without breaking what's running today.
Auto-scaling, high availability and resilience built in, so it holds up when the load is real.
Right-sized, monitored and tuned, so you pay for what you use — not what you once provisioned.
AI-accelerated architecture and migration planning, so we design the right cloud for your workload, faster.
Infrastructure-as-code, AI-assisted — so your cloud is reproducible, reviewable and version-controlled, not clicked together in a console.
Automation, security and policy baked into the pipeline, so the right things happen by default rather than by memory.
AI-assisted cost and performance analysis, so it stays lean and fast as it scales — not just on day one.
Across the three major clouds and the tooling around them — infrastructure-as-code, containers, CI/CD, serverless, data and observability. We build for the cloud you're on, or the one that fits. A sample:
Balanced across AWS, Azure and GCP on purpose — a representative set. We build for the cloud you're on, or the one that fits, and pick the right tools per workload.
Production platforms on AWS today — Kubernetes, serverless, real-time, multi-tenant — so the experience has scars, not just certificates.
Built for the cloud's model, so you get its economics and resilience — not on-prem habits running on a cloud bill.
We treat the bill as a design constraint from the start, not a surprise to explain at the end of the quarter.
Infrastructure-as-code, AI-assisted — so it's delivered faster and stays reproducible and reviewable.
ISO 27001 processes and a partner stack to match — Claude Partner Network, Snowflake and Databricks — for the data-and-AI foundation underneath.
Usually a CTO, VP of Engineering, Head of Infrastructure, Platform or SRE, or a technical founder — and finance when the bill is the trigger.
The cloud's promise was elasticity — capacity that grows when you need it and falls when you don't. Built wrong, it becomes a fixed cost that only climbs. We engineer for the version that was promised — right-sized, monitored and tuned — so the cloud scales your business, not your invoice.
The cloud we build runs your product, and it's where your platform — CI/CD, monitoring, reliability — lives too. Most cloud work pairs with the product on top and the platform engineering that keeps it running day to day.
We work across the major clouds, with deep production experience on AWS. We'll build on the one that fits you, or the one you're already on.
Usually, yes — right-sizing, reserved capacity, architecture changes and ongoing monitoring. Cost is something we engineer, not just report on.
We plan migrations to avoid it — phased, reversible, with the business running throughout.
AI-assisted architecture, infrastructure-as-code and cost analysis — so your cloud is delivered faster and stays reproducible and reviewable.
Yes. Infrastructure-as-code throughout, so it's version-controlled, reviewable and reproducible — not clicked together by hand.
Yes — that's Platform Engineering and ML/LLM Ops. We can build it and run it.
Security and policy are built into the pipeline, with ISO 27001 processes throughout.
Let's build
Book a 30-minute discovery call. We'll look at where you are, where it's straining, and what scaling right — and cheaper — actually looks like.