Artificial intelligence made practical and actionable.
Hedon Data & IA helps companies bring AI into their business in a practical, useful way that applies directly to their challenges, so they work more efficiently, streamline their processes and perform better.
6 areas of expertise, one business problem at a time.
Each pillar is presented through the problem it solves rather than the technology, so we start from your real challenges before talking about tools or models.
Cloud & AI Infrastructure
“I don’t know where or how to run my models reliably and at scale.”
Cloud migration, MLOps, production-grade operations, on-premise deployment, sovereign or air-gapped cloud depending on the sensitivity of your data.
Data, platforms & governance
“My data is scattered and I can’t use it.”
Pipelines, data quality, catalogue, governance and lineage: turning scattered data into an asset you can use.
Machine Learning & industrial AI
“I have data but no measurable ROI.”
Predictive maintenance, computer vision, optimisation (scheduling, planning, routing) built on your sensor and field data.
Generative AI & Agents
“I want to automate and save my teams time.”
RAG on technical content, business copilots, process automation agents: working for your teams, not instead of them.
AI-driven modernisation
“My information system is old and critical. I can’t afford to break it.”
AI-assisted rewriting and migration, knowledge recovered from legacy systems, AI added to what you already have, without disruption.
AI Security & Cybersecurity
“I’m reluctant to deploy AI because I can’t control the risks.”
Cybersecurity for demanding environments, plus AI-specific security: model red teaming, protection against prompt injection and data leakage, governance and auditability.
Data/AI consulting & scoping
Maturity audit, use case prioritisation, compliance scoping: the ideal starting point to define your AI roadmap before committing.
AI training & awareness
Programmes that equip your teams and make the use of AI stick in your organisation for the long term.
Define the need before choosing tools.
A progressive, structured approach designed to avoid AI projects that never get past the proof-of-concept stage.
Start from your real challenges
Together, we identify where AI can have a concrete, measurable impact.
Get the structure right before deploying
We scope the need before we talk about tools, to turn the problem into a project that can be applied.
A gradual deployment
We guide implementation in a structured way, with a verifiable impact on your results.
Making AI clear and usable.
What sets us apart is not only the technology we use, but how we approach each project.
Focused on results
A pragmatic approach built around real results and efficiency, not technology for show.
Scoping first
We define the project before we talk about tools, so we avoid dead ends.
Real-world delivery
We take solutions all the way to production, not just to prototype.
Plain speaking
Complex topics made clear and practical, with no needless jargon and no overpromising.
The questions we hear most often.
A few answers to the questions clients ask before starting a project with Hedon Data & IA.
Where do we start if we’ve never run an AI project?
With Data/AI consulting & scoping, packaged as a 2-week AI audit: we assess your maturity, prioritise the highest-impact use cases and scope compliance requirements before you commit to anything.
How much does a 2-week AI audit cost?
Each audit is sized according to your scope and priorities. Tell us about your context and we’ll get back to you shortly with an initial view and a tailored proposal.
Do we need to rebuild our whole data infrastructure to do AI?
Not necessarily. We start with the quality, catalogue and governance of the data you already have, turning what’s there into a usable asset before considering anything bigger.
Do you only handle the AI model, or the infrastructure it runs on as well?
Both. Cloud migration, MLOps and production-grade operations are part of our scope, so that your models run reliably and at scale, not just in a demo.
Can you deploy an AI solution in a secure, on-premise or sovereign environment?
Yes. We choose the deployment mode (cloud, on-premise, sovereign or air-gapped cloud) based on the sensitivity of your data and your regulatory constraints, never by default.
How do you manage AI-specific security risks, such as data leakage or prompt injection?
It’s a core part of our offer in its own right: model red teaming, protection against prompt injection and data leakage, governance and auditability, all designed in from the start rather than added later.
Can we modernise our existing system without rebuilding everything?
Yes. We use AI-assisted rewriting and migration, recovering knowledge from legacy systems so that we can add AI to what you have without any service disruption.
Do you train our teams so they can become self-sufficient with AI?
Yes, through AI training and awareness programmes designed to equip your teams and embed new ways of working in the organisation for the long term, well beyond the initial deployment phase.
A business challenge to turn into an AI project?
Let’s talk.
Tell us about your context. We’ll get back to you shortly to identify the use cases that make sense.
