Competence
What we know, and where that knowledge came from. Every claim on this page points at something we built and documented. For what you can actually engage us to do, see Services.
Forward-deployed engineering
The industry has recently put a name on something we have quietly done for years. A Forward Deployed Engineer, a model popularized by the large platform vendors, is an engineer who works inside the client's organization and environment, owns the problem from requirements to deployed software, and translates between the business and the code. Engineers first, not account managers.
Our version is the right-sized one for European SMBs and the mid-market. One senior engineer, embedded in your business: on-site in Malta, embedded-remote across Europe and the US. We are product-agnostic, so we deploy whatever actually fits, whether that is Azure, open source, a custom build, or one of our own tools, not one vendor's platform. Every engagement is specification-first, as always.
And it is defined by the part the big-vendor model tends to skip: handover. The engagement ends with documentation, training, and a system your team operates on its own. If your first thought was "so the engineer moves in and never leaves?", that is exactly the objection this answers. You get capability, not a permanent dependency.
This is how ProDoor was built: embedded with a Maltese manufacturer, now live in production at prodoormalta.com. It is also how RAY Healing Center and the Astutus data platform were delivered. No case-study theatre, just systems in daily use.
AI and automation
We came to AI through engineering rather than through the hype cycle, and it shows in what we build: systems that can be checked.
Retrieval that can be verified
We know what separates a plausible answer from a checkable one, because we built the difference. MightyRAG runs two-stage retrieval with a calibrated cross-encoder re-ranker, carries citations back to source on every answer, and puts proposed organizational knowledge through human review before it becomes the shared record.
Agent runtimes we have built, not just used
SuperConductor executes every task through an agent against a live, append-only audit trail, with multi-tenant control over credentials, sandboxing, and egress. Browser-MCP puts a real sandboxed browser behind nineteen deterministic tools, with a human able to watch and take over, and without a credential ever passing through the model.
The Model Context Protocol from the server side
We write MCP servers, not just connect to them. Browser-MCP and Open RLM Memory both ship as servers with their own permission and namespace models, which is the difference between an agent that can reach your tools and an agent you can let near them.
Running models without losing control of them
Frosty Gateway puts routing, virtual keys, team budgets, and both exact and semantic caching in front of multiple providers behind one endpoint, with a benchmark report standing behind the performance claims rather than a slide.
A delivery method we apply to ourselves
Fabled is our own delivery discipline, productized: coordinated skills that design, build, review, and ship with evidence gates at every stage, deterministic validators, and a human go required before anything deploys. This website was built through it.
Cloud
The part of our practice with the longest history, and the part that decides whether everything above it stays up.
Azure carrying a real business
ProDoor runs on Azure App Service with its database on Azure PostgreSQL Flexible Server, serving a manufacturer's whole operation from lead to payment. Deployment follows a written runbook, and two hand-maintained test checklists guard every release, because production is not the place to find out.
The estate around the applications
Microsoft 365 tenants, identity, device enrolment, and backup. This is the unglamorous half of cloud work and the half that quietly breaks businesses when it is done badly, which is why we have spent a large part of three decades on it.
Knowing when cloud is the wrong answer
We sell both cloud and self-hosted work, which means we have no reason to talk you into either. Sometimes the honest recommendation is a server in your building, and being able to build that too is what makes the recommendation worth anything.
Self-hosted
Sovereignty is an engineering problem, not a checkbox. Most of our own tools are built local-first for exactly this reason.
Language models on your own hardware
Frosty Gateway is designed to be self-hosted, so the gateway governing your AI traffic is yours rather than a vendor's. Combined with local models, the whole path from prompt to answer can stay inside your building: no data leaving, no per-token bill.
Local-first data for agents
Open RLM Memory keeps agent memory as vectors in your own PostgreSQL with pgvector, isolated by namespace, with a bring-your-own-model design that defaults to running entirely locally. The default is sovereignty, not an upgrade you have to ask for.
Governed platforms, not just private ones
Astutus Data Manager replaced a fragile spreadsheet estate with a platform where a promotion gate decides what becomes trusted data and a hardened security model decides who may touch it. Keeping data in-house only helps if you also know who changed what.
Tooling for the machines people actually work on
WSL Container Manager ships as a single compiled executable where every button maps to a real documented command, features unlock only when the host provably supports them, and the app never fakes what it cannot do. It is backed by a 166-test suite, which is the sort of thing we consider normal.
Putting it to work
Competence is only interesting once it is pointed at your problem. The engagements we offer in each of these fields are on the Services page, and the systems behind every claim here are on Projects.