A senior engineering studio that turns ideas into reliable software — shipped in weeks, not quarters. Agentic AI acceleration, fixed scope, built to scale.
2-week MVP $999 flat · fixed scope, shipped to productionThe wedge · fixed-price starter
The lowest-risk way to work with a senior studio. A deployed product — not a slide deck — for one fixed fee, on a written scope, shipped to production in ten working days. Prove it works, then scale with the same team.
What agencies scope for three months and $15k+, AI-accelerated into a fortnight.
All in. One scope, one invoice.
Standard operating procedure
A discovery call, then a written scope and architecture plan. You sign it. It doesn't move — that's what keeps the price fixed.
Signed scope + architecture doc
Senior engineers build in daily increments, AI-accelerated. Every day ends with something deployed you can click, in a shared tracker you can watch.
Daily deployed increments
Production deploy, a walkthrough call, and everything handed to you — code, URL, credentials. Then a two-week window where we fix anything that breaks, free.
Live URL, source, handover call
Why it's safe to start here
$999, agreed before a line is written. No hourly meter, no surprise invoice.
What's in and what's out is signed on day two, so "done" is never a debate.
Source and live URL are yours from day one — no lock-in, no ransom.
Two weeks after handover we fix what breaks, at no cost. Senior-built, one accountable engineer.
What we do
LLM agents, RAG, and tool-use pipelines wired into your real data — production, not demos.
Design, build, and ship web & mobile products end to end, led by senior engineers.
Reverse-engineer ageing systems into documented, testable, deployable software.
API-first, cloud-native architectures built for scale, integrations, and evolving needs.
Interfaces and design systems that stay coherent as the product grows.
Embed a senior product pod with clear technical ownership — no junior-heavy churn.
Engineering stack
One senior team, fluent across the layers a production AI product actually needs — from the language to the pipeline that deploys it.
Case study · data engineering
Codolith, our in-house product, turns a legacy Java monolith into a queryable knowledge graph — the same data-pipeline engineering we build for clients.
A 15-pass pipeline parses a legacy codebase — files, symbols, call edges — into structured facts.
Facts land in a Neo4j knowledge graph: every class, method, and dependency, traversable.
Blueprints, PDF reports, and a chat that cites every answer down to file:line.
How we ship
Scope, architecture, and a fixed plan in days — not a quarter of discovery.
Senior engineers, AI-accelerated, shipping in weekly increments you can see.
Production-ready, tested, handed over — or run by us. Built to scale from day one.
In-house products
Hire developers
Skip the three-month hiring cycle. Embed vetted senior engineers — or a full product pod — with clear technical ownership and no junior-heavy churn.
One senior engineer, full-time on your product, in your tools and your standups.
A senior squad — engineering, design, delivery — owning a scope end to end.
Flex senior capacity onto an existing team for a sprint or a whole roadmap.
Roles you can hire
Backend and platform engineers for systems that must stay correct.
Product front-ends and design-system work that scales.
LangGraph agents, RAG, and evaluation — production, not demos.
Engineers who build the interface as carefully as the logic.
Product and brand designers who ship coherent systems.
Docker, Kubernetes, and CI/CD pipelines that deploy on demand.
Strategy and scoping to turn an idea into a fundable plan.
Industries
Payments, ledgers, and compliance-grade systems built to audit.
Clinical-grade data flows with privacy engineered in from the schema up.
Multi-tenant products that stay coherent as they scale.
Real-time visibility across systems that were never meant to talk.
From prompt to production — agents wired to real data, not demos.
Turn aging monoliths into documented, deployable software.