Deep AWS expertise
your business
actually requires.

For infrastructure leaders & CTOs facing a lease expiry or a cost question

Migration & Reform

The decision is made — you’re transitioning to AWS. What’s still unclear is the shape of it, the cost, and what "done" actually means. This is where engagements go wrong: discovery happens after the contract is signed, estimates skyrocket, and organisations end up relocating technical debt into a new environment rather than resolving it.

We run migrations through the MAP playbook — a structured AWS program that, for qualifying organisations, includes funding to offset migration costs. We assess the full portfolio before any numbers are locked in. The goal isn’t migration for its own sake; it’s reclaiming the capacity, margin, and speed your current system is consuming.

For cloud & platform managers whose teams can’t ship without holding their breath

Platform Engineering & DevSecOps

You’ve got a bunch of AWS accounts, maybe even a chaotic mix of them or an organically grown Landing Zone. But if you ask two engineers how a deployment happens, you’ll likely get two different stories. Releases can be pretty nerve-wracking, security often gets tacked on at the last minute when it’s already costly, and your operations team finds themselves spending more time just keeping things running than actually building new features.

The fix is a proper foundation: account structure, infrastructure as code, pipelines that catch security issues at the commit stage rather than in production, and monitoring that surfaces problems before your customers do. We build it, document it, and hand it to your team to own.

For CISOs, security leads & AI product owners who need to control what they can’t see

AI Security & Cloud Governance

Two distinct areas of work — AI-specific risk that most audits don’t cover, and the cloud security foundations that make your posture defensible to a board, an auditor, or a regulator.

For CFOs, finance leads & cloud managers watching spend climb without clarity on why

FinOps & Cost Optimisation

Cloud costs grow quietly — commitments purchased for workloads that no longer exist, idle resources that look active, AI inference spend with no token governance. By the time it shows up in a board meeting, the number is already embarrassing.

Both reviews are read-only. We don't touch your infrastructure — we analyse your billing data, tag taxonomy, resource utilisation, and commitment coverage, then hand you a ranked list of what to act on.

For product & engineering teams building AI-driven customer experiences — including the technical ones

AICX

Getting a model to do something impressive in a notebook is not the hard part. The hard part is the engineering that makes it observable, safe, cost-bounded, and actually used. We've built these systems on AWS and we know where they break.