We deliver AI within your organisation, grounded in your own processes, systems and data. Our engineers work with your teams, build products and services, and train your staff in applied AI.
// Services
Three ways to bring AI into your work, not next to it.
S.01 // EMBED
Embed engineers in your team
Service . Our engineers join your team and tackle the problems your people name, in the workflows they already run. The products, data and habits stay after we leave.
Build AI : turn a recurring review, report or check into a skill the AI follows the same way every time.
Connect your systems with : MCP servers that let AI read from and act in the tools you already use, such as email, files, or .
Set up systems: answers drawn from your own documents, with the source shown.
Organise your data: files, data and workflows set up so AI has something reliable to work from.
Train on the job: your people learn AI on their own tasks, not on demos.
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S.02 // BUILD
Build one AI product for you
Product . We build one AI product to agreed requirements, deploy it into the workflow it serves and hand it over. You own working software, not a recommendation.
Scoped before we build: requirements, limits and what "done" means are agreed up front.
Built from reusable parts: (like the one in the demo), connectors and pipelines, adapted to your data and standards.
Exact where it matters: numbers come from tested code, never from the AI model's guess.
Runs where your data lives: on your premises when it must, in the cloud when it can.
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S.03 // TEACH
Teach your people
Training that leaves something behind. Every course is built on real tasks from your sector and can end with a working AI skill or product the participants keep.
Online courses: live sessions and self-paced modules.
Training packages: a course plus the AI skills and products built during it, delivered to your team.
Seminars: short sessions for leadership or whole departments on where AI fits and where it does not.
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// Demos
What we can build for you.
D.01
Research study skill
Extracts structured data from technical drawings and specifications, resolves open points with your engineer, and performs every calculation in tested, deterministic code. The result is a complete technical report with annotated drawings, reviewed and approved by your engineer.
// Method
Four steps, from first visit to daily use.
M.01 // LISTEN
Understand the need
Whether we embed, build or teach, we start in your work, where decisions, data and repetitive tasks block progress.
M.02 // BUILD
Build something practical
A better way of working, a finished product or a course built on your real tasks. Small, practical and judged by use, not by proposal.
M.03 // CONNECT
Integrate into workflows
Everything plugs into the tools and routines your teams already run, so adoption means adding a habit, not learning a new platform.
M.04 // STAY
Support adoption
We stay through rollout and train your people until the process, the product and the skills are fully theirs.
// Contact
Let's talk.
Reach out to us. We take every enquiry seriously and welcome new opportunities.
Engineering done on the client's side: customer-facing engineers work alongside the client's own staff to build and deploy technology inside the client's real operations. The term comes from U.S. military jargon, meaning stationed at the front line rather than at base, and was popularised by Palantir from around 2009.
Software that reads, writes and answers questions in everyday language. It works like a fast, tireless assistant that your staff direct and check.
AI skill·A procedure the AI follows
Definition
A packaged set of instructions, scripts and reference files that an AI agent loads to do one specific task the same way every time.
In plain words
A written-down procedure the AI follows, so the result does not depend on who asks.
MCP·Model Context Protocol
Definition
An open standard, introduced by Anthropic in 2024, for connecting AI applications to external tools and data sources.
In plain words
A connector that lets the AI look things up and act in your own systems, instead of you copying data in and out.
RAG·Retrieval-augmented generation
Definition
The AI first retrieves the relevant passages from your documents, then writes its answer from them and cites the source.
In plain words
Answers from your own files, not from the AI's memory.
ERP·Enterprise resource planning
Definition
Software that runs a company's core operations in one system: orders, stock, purchasing, production, accounting and payroll.
In plain words
The system where your orders, stock and invoices live.
CRM·Customer relationship management
Definition
Software that keeps every customer, contact, offer and sale in one place, so sales and support see the whole history.
In plain words
Your customer list, with every call, offer and order recorded against each name.
FDE·Forward Deployed Engineering
Ορισμός
Μηχανικοί που συμβουλεύουν την επιχείρηση του πελάτη, δίπλα στο προσωπικό του, χτίζουν και θέτουν σε λειτουργία την τεχνολογία εκεί όπου θα χρησιμοποιηθεί. Ο όρος προέρχεται από τη στρατιωτική ορολογία των ΗΠΑ («forward deployed»: στην πρώτη γραμμή, όχι στη βάση) και διαδόθηκε από την Palantir από το 2009 περίπου.
Λογισμικό που διαβάζει, γράφει και απαντά σε ερωτήσεις σε καθημερινή γλώσσα. Δουλεύει σαν ένας γρήγορος, ακούραστος βοηθός, τον οποίο το προσωπικό σας καθοδηγεί και ελέγχει.
AI skill·Μια διαδικασία που ακολουθεί η τεχνητή νοημοσύνη
Ορισμός
Ένα πακέτο οδηγιών, σεναρίων και αρχείων αναφοράς που φορτώνει ένας AI agent, για να κάνει μία συγκεκριμένη εργασία με τον ίδιο τρόπο κάθε φορά.
Με απλά λόγια
Μια γραπτή διαδικασία που ακολουθεί η τεχνητή νοημοσύνη, ώστε το αποτέλεσμα να μην εξαρτάται από το ποιος ρωτά.
MCP·Model Context Protocol
Ορισμός
Ένα ανοιχτό πρότυπο, που παρουσίασε η Anthropic το 2024, για τη σύνδεση εφαρμογών τεχνητής νοημοσύνης με εξωτερικά εργαλεία και πηγές δεδομένων.
Με απλά λόγια
Ένας σύνδεσμος που επιτρέπει στην τεχνητή νοημοσύνη να αναζητά πληροφορίες και να ενεργεί μέσα στα δικά σας συστήματα, αντί να αντιγράφετε εσείς δεδομένα μέσα κι έξω.
RAG·Retrieval-augmented generation
Ορισμός
Η τεχνητή νοημοσύνη ανακτά πρώτα τα σχετικά αποσπάσματα από τα έγγραφά σας, έπειτα συντάσσει την απάντησή της από αυτά και παραθέτει την πηγή.
Με απλά λόγια
Απαντήσεις από τα δικά σας αρχεία, όχι από τη μνήμη της τεχνητής νοημοσύνης.
ERP·Enterprise resource planning
Ορισμός
Λογισμικό που τρέχει τις βασικές λειτουργίες μιας επιχείρησης σε ένα ενιαίο σύστημα: παραγγελίες, αποθήκη, αγορές, παραγωγή, λογιστήριο και μισθοδοσία.
Με απλά λόγια
Το σύστημα όπου βρίσκονται οι παραγγελίες, η αποθήκη και τα τιμολόγιά σας.
CRM·Customer relationship management
Ορισμός
Λογισμικό που κρατά κάθε πελάτη, επαφή, προσφορά και πώληση σε ένα μέρος, ώστε οι πωλήσεις και η υποστήριξη να βλέπουν όλο το ιστορικό.
Με απλά λόγια
Το πελατολόγιό σας, με κάθε κλήση, προσφορά και παραγγελία καταγεγραμμένη δίπλα σε κάθε όνομα.