Reference project
A storefront, catalogue and merchant back office with an AI shopping assistant built in.
Reference project
Orchestrate agents that use tools, memory and knowledge, with human approval where it counts.
Reference project
Search and question answering across company documents, with citations and permissions.
Reference project
Git-connected builds, Docker hosting, domains and monitoring in a single console.
Reference project
Monitor on-chain activity, analyse transactions and review them before anything is signed.
End-to-end software engineering and product development: one team from the first workshop to live operation.
Next.js, React, TypeScript, Python, FastAPI, PostgreSQL, pgvector, LangGraph, MCP, Docker, Coolify, GitHub, Terraform, OpenTelemetry
What we do
Engage us for a single capability or let us run the full lifecycle of a product.
2026 and beyond
Six shifts our clients are planning for, and how we help them get ahead of each one.
The question is no longer whether an agent can do the task, but whether it can be evaluated, permissioned and audited. We build agents with tool scopes, approval steps and evaluation from day one.
AI engineeringWith EU AI Act obligations phasing in through 2026 and 2027, procurement teams ask for documentation, logging and human oversight. We design those in rather than bolting them on.
Security & trustDiscovery is shifting to chat and shopping agents. Stores need clean product data, structured feeds and APIs that agents can use, alongside a fast storefront for people.
AI-powered commerceTeams want golden paths: self-service deployments, previews, secrets and observability with guardrails. We build internal platforms and hosting products that make shipping routine.
Deployment platformsModel routing, caching, smaller specialised models and usage metering keep AI features affordable as they scale. We measure cost per task alongside quality.
AI automationAI-assisted code analysis and migration make long-postponed rewrites practical, provided tests and reviews keep behaviour intact. We modernise in safe, measurable stages.
Enterprise softwareProjects
Systems we designed and engineered as demonstrations, using sample data. Each has features, architecture and security notes.
Engineering approach
Each stage ends with something you can review and approve before we move on.
Ways to start
Every engagement begins with something concrete you can keep, whether or not you continue with us.
Find the AI use cases worth building, and the ones to skip.
You get: A ranked shortlist of use cases with value, risk and a recommended first build.
Best for: Leaders under pressure to adopt AI who want a measured first move.
Ask about thisTurn an idea or a problem into a plan you can price and approve.
You get: Scope, architecture, clickable prototype and a phased estimate.
Best for: New products, replatforming and anything with unclear scope.
Ask about thisA production-quality first release, not a throwaway demo.
You get: A live product with tests, monitoring and a backlog driven by real usage.
Best for: Founders and product teams ready to put software in front of users.
Ask about thisEngineers and a lead who work as an extension of your team.
You get: Predictable capacity, steady delivery and knowledge that stays documented.
Best for: Companies with a roadmap that outpaces their hiring.
Ask about thisIndustries
The systems we can build in each sector, from storefronts and portals to analytics and AI assistants. We describe use cases, not past clients.
Security & trust
How we protect your data, your IP and your users, including how AI is governed in what we build and how we use it ourselves.
Security is part of every change, not a review at the end.
We handle your data as if a regulator were watching.
Your ideas and code stay yours.
AI features ship with measurement, oversight and an audit trail.
Software that keeps working after launch day.
You can always take the work in-house.
Technology
We pick technology on merit and explain why, so you are never locked into someone's favourite stack.
FAQ
Most start with a short paid discovery or assessment. You get a scope, architecture and estimate you can use with us or anyone else, so the risk of the first step stays small.
After discovery we give a phased estimate with the assumptions written down. Fixed-scope projects are priced per phase; dedicated teams are priced per person per month.
You do. Source code, infrastructure definitions and documentation are assigned to you as set out in the contract.
Yes. Send a request through the contact form and we will sign your NDA or provide ours before any detailed conversation.
Yes. We agree overlapping hours, use your communication and project tools, and hold weekly demos so progress is visible regardless of location.
We use AI tools for coding, review and testing to move faster, and every change is reviewed by an engineer. Your code only goes to tools you have approved.
Yes. We start with a short audit of structure, risk and test coverage, then recommend whether to extend, refactor or replace parts of it.
You can take the system in-house with full documentation, or keep us for support, monitoring and continued development under an agreed service level.
From AI-powered products and intelligent commerce to enterprise platforms and deployment infrastructure, we help turn complex requirements into production-ready software.
