AI Engineering · Enterprise Software · Cloud
For ministries, public entities and companies in Malta, we design, build and operate AI systems, enterprise software and cloud platforms, linked to the systems your work already relies on.
Nine nodes in a three by three grid, joined by one line that traces the FromNine mark. The line runs from business context to intelligence, software, cloud and operations, and ends in a single live system.
01 Scale and principles
We concentrate on AI, cloud and current engineering practice, and we bring the delivery discipline of a large firm to it. For a Maltese organisation this means a team big enough to cover every discipline a programme needs, and the same people from the first design session to the day the system is in daily use.
2,400+people who design, build and operate systems for Government and for private companies.
600+public-sector projects across the EU, completed or still running, for ministries, agencies and other public entities.
400+projects for private companies
Our work with Government and public entitiesFitted to your existing systems
We start from the platforms, data and processes you run today and replace only the parts that genuinely need it.
Built so it can be maintained
Every system is tested, documented and handed over properly, so that your own staff can still adapt it in five or ten years.
A person decides where it counts
Steps with real consequences pause until someone approves them, and each automated action is logged for later review.
together with many other public entities in EU Member States
02 Services
AI only pays off when the rest is in place: software that staff are happy to use, data that can be trusted, integrations that do not break and a platform that keeps everything running. We deliver all of these together, so the parts fit and a single team is responsible for the result.
Generative AI that copes with real use: based on your own data, tested before it goes live and monitored while it runs.
Agents that stay inside the rights you grant them and check with a person before any step that matters.
Well-governed data that people and AI can base decisions on.
Portals, internal platforms and SaaS products that remain simple to change.
A cloud foundation on which releasing is routine and spending is transparent.
Systems that pass data to each other dependably, even when one of them fails.
A clear technical direction before you commit budget: the options, what each costs you and a roadmap you can justify to your board.
03 Solutions
We begin with the problem, never with the model. Every example below is set out the same way: what slows your staff down now, the system we propose, the gain you can measure and the point at which a person decides.
04 Government & public entities
600+public-sector projects across the EU, completed or still running, for ministries, agencies and public entities.
Ministries, departments and public entities need technology that everyone can use, that is secure and open to inspection, and that outlives the contract it was bought under. Over many projects we have learnt to work with public procurement rules, services in more than one official language and strict data protection.
AI gets the same care from us: recorded decisions, a person who can step in, and a design that takes account of the AI Act from day one. In Malta that means the authorities designated in 2025, with the Malta Digital Innovation Authority (MDIA) in the lead.
Dot map of Europe with the 27 EU Member States, Malta among them, highlighted. Other European countries appear in a lighter tone, and the offices in Antwerp and Ghent are marked.
05 Enterprise platforms
Your client, finance, supply and operational records are already held in Salesforce, SAP or Odoo. We implement these platforms, extend them and link them to your other systems, then connect AI to them with the correct access rights, so automation runs within the processes your staff already follow.
Summit Partner
What we do
With AI
Help with case handling, with draft replies that staff check before they go out
Gold Partner
What we do
With AI
Documents read into SAP processes, with exceptions passed to staff
Gold Partner
What we do
With AI
Back-office tasks automated on the data in Odoo
Salesforce, SAP and Odoo are trademarks of the companies that own them.
06 Engineering depth
The model is just one part. Around it you need integrations, access rights, testing, approval points and day-to-day operation, and these decide whether the feature still holds on the first busy morning of the week. This is where AI projects either succeed or fail without anyone noticing at first.
AI is worth only as much as the systems it can read and update. So we design the integrations first: field mapping, retries, protection against duplicates and errors that staff can actually see.
The system fetches only what the person asking may see. Access rights are applied in the retrieval layer itself and are never left to the wording of a prompt.
Answers and actions are checked against agreed criteria both before and after each release. Any action with real effects waits until a person approves it.
Infrastructure as code, separate environments and tracking of quality, response time and cost, so the system can be operated, audited and improved once it is live.
Six layers are shown. From the top: agents and workflows, with a point where a person approves before any consequential action; models and evaluation; data and retrieval; the integration layer; and the business systems that hold the records, for example CRM, ERP, case management and document libraries. Beneath them all sits a cloud platform with monitoring.
Access control runs down through all six layers, so identity, roles and audit trail apply at every step. A request comes in at the top and travels down each layer until it reaches the business systems.
There are four notes: integrations before prompts (integration layer and business systems); retrieval within access rights (data and retrieval, access control); testing and approval points (models and agents); run, not just installed (cloud platform and observability).
07 Approach
Four stages, and each one closes with something you can check and retain. Progress is visible to you at each step, and what we build belongs to you.
We look at the business problem, the people concerned and the systems in place, and together we decide what to tackle first.
OutputProblem definition
We select an architecture, fix how success will be measured and plan a first release that is small enough to go live.
OutputArchitecture and success measures
We deliver in short, tested steps that your staff can look at, try out and question.
OutputTested implementation
We either hand the system over or run it ourselves, watch it in production and keep improving it with you.
OutputHandover and operating plan
Whatever operation teaches us goes into the next round of understanding.
08 Trust and sovereignty
We treat responsible AI as engineering work rather than a policy on paper. Four layers of control surround every system we build, and at the centre sit your data and your decisions.
We plan for data kept within the EU and agree the hosting locations with you before building starts, with sovereign options where your obligations require them.
Our information security management holds ISO/IEC 27001 certification. Least-privilege access, threat modelling and secure engineering are part of how we deliver, starting at the design stage.
Risk classification, documentation, audit logs and decision records, prepared with the AI Act and the GDPR in view, so you can show the MDIA or the Information and Data Protection Commissioner (IDPC) who did what and why.
Approval points, escalation routes and the power to overrule the system, wherever an automated decision has real effects on people.
Your data and decisions
Credentials
The systems we build are designed for the GDPR, the AI Act and the Maltese NIS2 Order.
Our approach to security and data09 In Malta
Malta has already put its EU digital laws into effect. The NIS2 Order (Legal Notice 71 of 2025) has applied since 23 January 2026, with the Critical Infrastructure Protection Department (CIP Department) as competent authority. The authorities for the AI Act were designated in 2025, with the MDIA in the lead and the IDPC for certain high-risk systems. Under DORA, banks, insurers and investment services firms answer to the Malta Financial Services Authority (MFSA), with the European Central Bank (ECB) for significant banks. We build systems that let you show compliance with these rules to the authority concerned.
We have no office in Malta. Our teams work from Antwerp, Ghent and Amsterdam, in the same time zone as you. With clients in Malta we work in English.
Our public-sector experience covers 600+ projects for public bodies in EU Member States, completed or still running, including in Malta. We know the setting in which the Maltese public administration builds: shared Government ICT through the Malta Information Technology Agency (MITA), Malta e-ID for secure login, servizz.gov as the single portal for online services, and Malta Diġitali as the national digital strategy for 2022 to 2027. Calls for tenders appear on ePPS under the Public Procurement Regulations (S.L. 601.03), and we answer each criterion of the call for tenders in turn. On contracts above EU thresholds, Government accepts e-invoices in EN 16931 over Peppol.
A public entity still receives permit applications on paper and by email, and staff re-enter each one before they can assess it.
A ministry introduces an AI assistant in several departments and has to be able to explain to the MDIA how it works, how it was tested and who answers for it.
A company in scope of the NIS2 Order has to register with the CIP Department and show its customers how its suppliers and incidents are managed.
Careers
Engineers, architects, consultants and specialists who build AI systems, enterprise software and cloud platforms for Government and private companies in EU Member States. You work on problems that real users feel, next to colleagues who take pride in getting the details right.
Practices
In a first conversation we talk about the problem you want to solve, the systems you have and the most useful thing to do next. You do not need to prepare a presentation.
One team answers for the whole programme, in English, from Antwerp, Ghent and Amsterdam.
