Overview
Arinti covers the full spectrum from strategy and data to innovative GenAI applications. The company has delivered projects including GenAI-powered chatbots for municipal services and governed data platforms using Databricks for global logistics operations.
In the news
- Giving people Copilot licences is easy... Making Copilot understand your organisation is where the real work starts. That’s what we’re building together with UC Leuven-Limburg : UCLL wants its employees and students to use AI not just for generic questions, but to find reliable answers in its own institutional knowledge, from the Drupal intranet to SharePoint. So we’re building an architecture where: ✅ knowledge stays with the teams that own it ✅ existing Entra permissions determine what users can access ✅ content stays up to
- Maarten De Weerdt werkt sinds 1 juli bij Arinti als AI Engineer. Hij werkt liever samen aan een whiteboard dan met een koptelefoon op (wij ook gelukkig!), en je mag hem altijd storen voor een grapje of een update over de Tour 🚵 En het beste advies dat hij ooit kreeg? Dat gaat over software die voldoet aan de behoefte in plaats van aan het ideaal. Welkom Maarten 👋
- Most companies are thinking about internal AI chatbots the wrong way. “How do we build a chatbot that can search our documents?” ...is a question that is becoming easier every month. The more difficult questions are: ❓ Which documents is it actually allowed to use? ❓ Who owns/checks the quality of those documents? ❓ How do we know when an answer is wrong? ❓ Who tests those answers? ❓ Can we determine WHY the AI produced a bad answer? ❓ What happens when 5 departments want their own version? That’s why we increasingly think an
- At Griffith Foods in Herentals, demand was growing faster than the plant could produce. 🏭 Between every production batch, the lines went through a full wet cleaning: water, detergent, and 30 to 90 minutes of downtime. Added up across all lines, that came to roughly 165 lost production days a year. The planners already knew that some products could safely follow each other with only a dry clean in between. The hard part was working out which ones, because it depended on colour, allergens, texture, odour and composition, and the
- AI readiness, quantified: where does your organization land? 🛬 You make decisions on data, so why guess your AI readiness? In just six precise statements about your business, data and AI practice, you’ll see a simple, evidence-based snapshot of how prepared you really are. No email, no sales pitch, just a clear starting point so you can prioritise the right AI moves with confidence. https://lnkd.in/eah49EqY
- A Belgian company in automotive finance runs a platform that dealers and salespeople use every single day to follow up their targets, commissions, contracts and invoices. Then an external security test came back with a finding. There had been no breach and no incident, but the technology underneath had stopped receiving security updates three years ago. The usual answer to a job like that is a project team and six months of work, and that is the exact reason companies keep postponing it in the first place. Our client got a
- Two months. Slide deck to live app. Here's how we did it 👇 When Sinerisk founder Mattias Vercauteren came to us, the brief was tight: take an insurtech idea to real users on the app stores, fast. First thing we did was sit down with Sinerisk and list every feature the product could have. Then we cut it back to only what was needed to validate the three core flows with real users. Broker integrations, referrals, premium recommendations were all pushed to later. We shipped weekly to real phones. Every week, a working app went onto the
- Most AI projects don't fail because of the AI. They fail because of what sits underneath: data spread across systems that don't talk, two teams reporting different numbers for the same KPI, and no clear view of what's already being built. So we built a short AI readiness check. 6 questions. Two minutes. No email, no form. You get an honest read on where you stand, and where to start. If it raises questions, we're happy to talk. 👇 https://lnkd.in/dVu_Vm7A
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