Engineering for startups scaling past the MVP.
We take over the architecture, reliability, cloud and AI infrastructure that decide whether your product survives growth.
For early-stage startups
Your first 10 hours are on us.
Pre-seed or seed, and not sure whether what is slowing you down is the architecture, the cloud bill or the deploy pipeline? Take ten hours of engineering time, free. We spend them on your codebase and your infrastructure, and whatever we ship in them stays yours.
Claim your 10 free hoursOne per company. No contract, no card.
What we do.
AI engineering
Agentic systems, retrieval and evaluation, with cost control from week one.
ExploreCloud and infrastructure
Migration, multi-cloud and Kubernetes, declared in code and run by the team that built it.
ExplorePlatform engineering
Golden paths and self-service environments, so shipping stops being a ticket.
ExploreSite reliability engineering
SLOs, error budgets and a rota with a runbook behind every alert.
ExploreProduct engineering
An embedded product pod running strategy, design, go-to-market and growth.
ExploreSecurity and compliance
SOC 2 and ISO 27001 readiness, run as engineering work, not paperwork.
Explore
When to call us.
The demo worked. Production did not.
We add the evaluation set, tracing and cost controls a launch needs.
AI engineeringTraffic showed up before the infrastructure was ready.
We take over the migration, the multi-cloud setup and the pager.
Cloud and infrastructureA deal is stuck on a security questionnaire nobody can finish.
We get you SOC 2 and ISO 27001 ready, on evidence the platform generates.
Security and complianceYou have the roadmap, not the senior engineers to ship it.
We embed as your product and engineering team, from architecture to on-call.
Product engineering
AI-native delivery
How we work.
Almost everything we are called in for now has a model somewhere in it. Almost none of it fails because of the model — it fails on the retrieval, the evaluation, the GPU bill or the rollback that was never tested.
Frame the problem
We start at the bottleneck in your system, not at a model.
The problem decides whether AI belongs in the answer at all.
Prototype on your data
A thin end-to-end slice running on your real data.
Enough to see whether the approach holds before it is built out.
Harden it
Evaluations, guardrails, cost ceilings and a rollback path.
The parts that decide whether it survives contact with users.
Run or hand over
We operate it, or document it and train your team.
Whichever one leaves you able to change it without us.
One team owns your system from the architecture call to the on-call rota.