AI adoption & enablement
We help you choose the use cases worth doing, train your team on their own tasks and roll out tools like Copilot, so people keep using them after the workshop.
AI for every business. Not only the ones with a data team.
An independent AI and data practice from Belgium.
We design, build and run AI automations, data analytics and machine-learning pipelines. Enterprises bring us in to get AI out of the pilot phase and into production.
SMEs start with a free pilot: we build one working automation on your own tools, and you decide whether to take it further.
what we do
AI your team uses every day.
Six services, from a first workshop to a model in production. Hire us for one, or bring us in end to end.
AI automation workflows
We automate the repetitive work that runs through your e-mail, documents, CRM and ERP. A person still approves every decision that matters.
AI integration
We connect large language models, retrieval (RAG) and agents to your systems and data. We stay model-agnostic, so you can switch vendors, choose EU hosting, or run a local model when the data can't leave the building.
Data insights & analytics
One set of numbers everyone agrees on, and dashboards people open without a reminder. We define the KPIs with you and send a plain-language summary to your inbox before Monday's meeting.
ML pipelines & MLOps
We take models from notebook to production with reproducible training and automated deployment. Drift monitoring tells you a model needs retraining before your users notice.
Data architecture & governance
We build data platforms on Azure that scale as your data grows, with the security and lineage your auditors will ask about. GDPR is part of the design from the first sketch.
Works with what you already use Microsoft 365 · Google Workspace · Teams · Slack · HubSpot · Salesforce · Odoo · Exact · Power BI · Databricks · Snowflake · OpenAI · Anthropic · Mistral
for smes
Your AI pilot is on us.
Most SMEs don't need an AI strategy deck. They need one tedious task off their desk. That's where we start: a free pilot that automates your first workflow.
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01 · discoverfree pilot
Find the time sink
In a 30-minute call, we find the task that costs your team the most hours each week.
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02 · buildfree pilot
Build it for real
We build it on your own tools and data, usually within two weeks. A real working proof of concept.
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03 · provefree pilot
See it work
Your team uses it on real work, and together we measure the time it saves. If the numbers don't convince you, you walk away and owe nothing.
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04 · runtogether
Keep it running
If you want to keep it, we take it into production and look after it, on a plan sized to your workflow and agreed together.
Start free. Only continue if it pays off.
The pilot costs nothing and commits you to nothing. If it saves your team real time, we plan the next step together.
what we automate
Five workflows for West Flemish businesses.
Each example comes from a sector that carries the regional economy: hospitality, the port, food, machine building and construction. In every one, a person makes the final call.
example workflow · group-bookings
running
- triggerGroup request lands in reservations@38 guests, 14 May, written in German✓
- aiReads date, group size, language and dietary needs✓
- checkChecks availability in your reservation system✓
- aiDrafts a proposal with group menu, allergens and pricein the guest's own language✓
- humanYour team reviews and sends it✓
result → a proposal out the same hour, in their language
hospitality
for enterprise
From proof of concept to production.
Most large organisations have run AI pilots. Far fewer have one in production. We work inside enterprise teams today to close that gap: we design the data architecture, ML pipelines and generative AI platforms, and fit them into your governance, security reviews and budget cycles. see the track record on linkedin →
- 01Data architecturePipeline design, lakehouses and cloud data platforms.
- 02Generative AI & RAGLLM platforms, vector databases and retrieval over your own documents and data.
- 03Knowledge graphsLink data that sits in separate systems, so you can query and analyse it as one.
- 04ML pipelines & MLOpsTraining, deployment and monitoring you can audit and repeat.
- 05Advanced analyticsForecasting, clustering and data mining, each tied to a decision someone has to make.
- 06Use case to PoCRequirements, business case and a proof of concept in weeks.
- 07Programme deliveryStakeholder alignment, resource planning and a clean hand-off to your team.
- 08Training & knowledgeYour people learn to run and extend what we build, so they don't depend on us.
Discuss a programme
consulting, project delivery or long-term partnership
how we work
Useful first. Impressive second.
One workflow for a ten-person company or a data platform for thousands of users: the same four rules apply.
- 01 · business first
Start from the problem
We start with the hours, euros or risk at stake, and only then choose the technology.
- 02 · working software
Prototype early
You see a prototype within days and a working workflow within weeks, so you decide based on something you've clicked through yourself.
- 03 · built to last
Ready for production
Every build ships with monitoring and documentation, on an architecture that can grow, so it keeps working long after go-live.
- 04 · plain language
Nothing hidden
You always know what runs, what it costs, which data it touches and why.
Is the pilot really free?
Yes. We pick one process with you, build a working proof of concept on your own tools and data, and let your team use it. We aim to deliver a pilot within two weeks, depending on the size of the process. If it doesn't save you real time, you walk away and owe nothing. If you want to take it into production, we agree the next step together. We carry that risk because a working workflow makes a better argument than any sales pitch.
What happens after the pilot?
We look at the results with you and agree a plan to take the workflow into production, sized to what it needs. From then on we look after it: hosting, monitoring, and adjustments when your tools or processes change. Anything new, like a second workflow, we scope with you before we start.
Do we need our own IT or data team?
No. We handle the technical side, and you bring the knowledge of how your business works. We make sure your team knows how to use what we build and when to trust its output.
What about our data and privacy?
We design for the GDPR from the start. Your data is used for your workflow and nothing else. We prefer EU-hosted infrastructure and choose AI providers and settings that don't train on your data. You get an overview of which data goes where. For regulated use cases, the EU AI Act is part of the design too.
Which tools and systems can you connect?
Most of what you already use: Microsoft 365, Google Workspace, Outlook, Gmail, Teams and Slack; CRMs and ERPs such as HubSpot, Salesforce, Odoo, Exact and Teamleader; Power BI and Azure. If a system has an API or an export, we can usually work with it.
We're a large organisation. Is this for us?
Yes. Exseed started in enterprise work: data architecture, ML pipelines and generative AI inside large organisations, alongside internal IT, security and procurement. The free pilot is built for SMEs. With enterprises, we scope consulting or project delivery together.
contact
One e-mail is enough.
Tell us about the task that eats your team's week, or the AI project that's stuck in pilot. There's no form to fill in, and we reply within 48 hours.