Architecture review
Will this design hold at ten times the load, and what will it cost to run? Where are the single points of failure nobody has looked at since launch?
Senior engineering judgement for the decisions that are expensive to reverse.
Most costly technology decisions are made with incomplete information and no way to test them cheaply. We give founders and product leaders a straight read on architecture, cost, risk and delivery — from engineers who will be honest when the answer is “leave it alone”.
Will this design hold at ten times the load, and what will it cost to run? Where are the single points of failure nobody has looked at since launch?
Buying a company, or raising against a product. We assess code quality, security posture, key-person risk and what the roadmap will really cost.
Where the bill is going, which of it is waste, and which slow query is quietly setting your infrastructure budget.
A realistic path off an ageing system, in slices that keep the business running — usually not the rewrite people expect us to recommend.
Why shipping has slowed. Hiring plans, team shape, code review and release practices, and where the process is fighting the work.
Whether your data, product and team can support an AI initiative — and which use case is worth doing first, if any.
A call to work out what decision you are actually trying to make, and what evidence would settle it.
We read the code, the infrastructure and the metrics, and talk to the engineers doing the work.
Findings ranked by impact and effort, written so both your board and your engineers can read it.
Optional. We can implement the recommendations, or coach your team through them.
We advise on the same technologies we build with daily — the recommendations come from having run these things in production, not from a comparison table.
Monolith or services, managed or self-run, one region or several. Usually the answer is simpler than the team fears, and we will make the case for that.
Enough depth in each to judge whether a codebase is in reasonable shape, and to spot the decisions that will hurt in eighteen months.
Data model, query performance and retention — plus an honest read on whether an AI feature is a genuine advantage or an expensive distraction.
How work gets from idea to production, where it queues, and which of your controls are real versus documented.
Deliverables you can act on, share with a board, or hand to whoever does the work next — including a different vendor.
Tell us about your web, mobile, or agentic AI project — we'll get back with a tailored proposal, usually within a business day.