Hard parts,
every week
A senior-only engineering studio for international product companies. Whatever domain you are in, four-plus hours of overlap with your working day.
Small teams,
no juniors
We plug into your product team as an extension of it — or take the mandate end to end. Either way you talk to the people writing the code, not to an account manager standing in front of them.
The approach is deliberately narrow, and the trade is explicit: fewer people on the account, all of them senior, each owning an outcome instead of a queue of tickets. Most of what we build carries someone else's name — that suits us.
Anonymised, but real
NDAs keep the logos off this page. The problems, the builds and the numbers are exactly as they happened.
Real-time inference for a vision SaaS
Model latency spiked past 400ms under load, and inference cost was growing faster than revenue.
We rebuilt the serving layer: batched GPU inference, a warm model cache and autoscaling on demand.
Adaptive learning for a K-12 network
One curriculum for everyone left advanced learners bored and strugglers behind — completion kept sliding.
We built a per-learner path engine that picks the next lesson from live mastery signals.
Headless storefront for a global DTC brand
The legacy monolith buckled on launch days, and checkout abandonment climbed with every slow page.
We re-platformed to an edge-rendered headless storefront with an idempotent, zero-downtime checkout.
Any domain,
three in production
The hard parts repeat across industries: latency, data models, payments, scale. Only the vocabulary changes, and we pick that up in discovery. AI, EdTech and E-Commerce are where we have shipped already — the rest we take on the same way.
Applied AI & ML
Model serving for a vision SaaS, RAG pipelines and recommendation systems — fast, observable and affordable once they are in production.
- Model serving & MLOps
- LLM & RAG applications
- Data & feature pipelines
EdTech platforms
Adaptive learning paths for a K-12 network, assessment engines and content tooling — engaging for learners, measurable for the institutions paying for them.
- Adaptive learning paths
- Assessment & analytics
- Authoring & LMS tooling
E-Commerce systems
A headless storefront for a global DTC brand, checkout and inventory at scale — resilient on launch days, fast for shoppers everywhere.
- Headless storefronts
- Edge checkout & payments
- Inventory & fulfilment
The domain you're in
No case study here yet, and we would rather say that than invent one. What carries over is the practice: discovery first, a senior pod, something shippable in the first week — the same way the three above started.
- Discovery before code
- Senior-only pod
- Your repo, your stack
Four steps,
no black box
Discovery
We scope the problem, de-risk the unknowns and agree a plan you can hold us to.
Build
Senior pods ship weekly increments in your repo, in your stack, in the open.
Ship
We release to production with monitoring, load tests and a rollback you never need.
Support
We stay on for the long tail — performance, reliability and the next iteration.
Our default stack
Ownership from week one
We hire people who have already shipped hard things in AI, EdTech or commerce. Remote-first, and the teams stay small enough that nothing you build disappears into a backlog — if that's you, we should talk.
A hard problem and no one to own it?
Tell us what you're building. You'll get a reply within one business day — from engineers, not a sales deck.