A team of 4 that ships what takes 8 to build
AI handles code generation, tests, and documentation. Your engineers stay focused on architecture, business logic, and technical decisions. We accelerate delivery.
Does this sound familiar?
Growing Backlog
Your team has 4–8 developers, but the backlog keeps growing.
Hiring Bottleneck
You opened a senior role three months ago and still haven't filled it.
Engineering Waste
Developers spend more time on boilerplate than business logic.
Previous Experience
You tried outsourcing before, and the code didn't work.
Team Growth
New developers onboard in days instead of weeks.
Business Pressure
Investors expect faster delivery without doubling engineering costs.
Leadership Overload
Your CTO spends more time managing execution than driving technical strategy.
Accelerate Your Software Delivery
We help engineering teams reduce development time by up to 40% through strategic AI implementation, automating repetitive tasks, accelerating decision-making, and enabling faster delivery without compromising product quality or technical standards.
See how it works
Why a dedicated AI team is productive
AI writes the routine, seniors review everything
AI generates boilerplate code, unit tests, type definitions, and migration scripts in minutes. Senior engineers spend their time on the things that actually require their judgment: architecture decisions, edge cases, performance-critical paths.
We execute what you plan
Every PR goes through your review process. Every architectural decision gets cleared with you first. We don't redesign your system, instead, we build what you specify, faster than a traditional team would.
Documentation that actually exists
Ever opened a codebase and realised the only person who understands it left six months ago? Documentation is generated while development is happening. The next developer doesn't spend weeks figuring things out.Expected results
~40%
a typical sprint is routine work that AI handles directly: tests, docs, boilerplate, data mapping
2 wks
from the signed agreement to the first merged PR in your repository
4–6×
faster onboarding for future team members, because the codebase is documented from the start
1 sprint
is all you need to commit before deciding, and real output comes in 2 weeks
From the call to the first sprint
Here's exactly what happens.
Case Study
30 hours every week of manual work were eliminated
Client
Könner & Söhnen. Multi-regional ecommerce business operating across multiple European markets. Product information, pricing and inventory updates were handled manually across several stores.
The problem
Every price change, stock update, and product spec had to be applied manually. With 6 markets and thousands of SKUs, the operations team was doing data entry work for 30+ hours a week.
What we built
A fully automated sync pipeline using n8n, connecting their ERP to all 6 Shopify stores. Prices, inventory, product specs, and translations now update automatically every 2 hours across every market. No manual steps anywhere in the chain.
2 hrs
automatic sync across all 6 markets: down from manual updates that took days to propagate8 wks
from kickoff to fully live across all stores and markets30 hrs
of manual data entry eliminated every single week
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