Your cloud bill is up. Your performance isn’t. Time to rethink the strategy.

Cloud compute advisory for mid-market companies. We help you clarify your workloads first, then evaluate cloud providers and recommend an approach that handles the apps you run today, the AI you’re piloting tomorrow, and a monthly bill you can defend in front of a board.

Vendor-independent advisory. The right cloud direction for your business, based on fit, not a predetermined platform.

The 2026 Cloud Compute Reality

Three pressures hitting every mid-market technology leader at the same time.

AI Workloads Eat Capacity

GPU demand, model hosting, and inference at scale break the cost models built three years ago for SaaS-like workloads.

Cloud Bills Are Under the Microscope

CFOs and boards now treat cloud as a top-five line item. You’re being asked to grow capability while shrinking spend.

One Cloud Doesn’t Fit All

AWS, Azure, GCP, and specialty providers each have strengths. Picking the wrong one for a given workload is now a six-figure mistake.

What You Get

A clear picture of where you are, where you should go, and a sequenced plan to get there.

01

Workload Fit Assessment

We map your applications, data, and AI initiatives against the cloud platforms and services that actually fit, technically and economically.

02

Cost & Architecture Evaluation

Clarify where right-sizing, reserved capacity, spot, and FinOps discipline could bring spend in line with business value, and which providers and partners are best positioned to put those changes in place.

03

Migration & Modernization Roadmap

A pragmatic, sequenced plan that respects your team’s bandwidth and avoids the all-or-nothing migration that derails most programs.

Frequently Asked Questions

AWS, Azure, or Google Cloud: which should we use?

It depends on your workloads, your team’s muscle memory, your existing licensing, and where the data needs to live. We map all of that against the platforms’ actual strengths, including AI services and data residency, and recommend the fit. Sometimes the answer is multi-cloud. Sometimes it’s consolidation.

Our cloud bill keeps growing. What can you do about it?

A typical mid-market cloud spend has 25–40% waste hiding inside it: over-provisioned compute, idle resources, missed reserved capacity, suboptimal storage tiers. We surface the waste with FinOps discipline and recommend the guardrails that keep savings in place.

Do you help with cloud migrations or just strategy?

Strategy. We clarify the strategy and roadmap, then help you select and coordinate the right implementation partners. We don’t lift-and-shift servers ourselves; we help you evaluate the partners who do, and validate that the work is done the right way.

How does AI change cloud strategy?

AI workloads have different gravity than traditional apps: data locality, GPU availability, egress costs, and model lifecycle all matter. We help you compare options and decide what to buy, what to build with partners, and where to run it before the platform locks you in.

Should we move everything to the cloud?

No. Some workloads are cheaper, faster, or more compliant on-premises or in a colocation facility. Smart cloud strategy is honest about where cloud helps and where it doesn’t. We protect you from both over-cloud and under-cloud thinking.