# Arinti

> Arinti is an AI-native consultancy delivering production-grade AI and data solutions for enterprise and public sector organisations across Belgium.

Arinti NV is based in Kontich, Belgium (Veldkant 35C, 2550). Contact: hello@arinti.ai or via https://arinti.ai/contact.

The full text content of every page in one file: https://arinti.ai/llms-full.txt.

## Key pages

- [Services](https://arinti.ai/services): AI and data services — strategy, data engineering, applied ML, GenAI, and agentic AI.
- [About us](https://arinti.ai/about-us): Team, partnerships, and how Arinti works.
- [Cases](https://arinti.ai/cases): Client projects and outcomes.
- [Insights](https://arinti.ai/insights): Articles and practical guides on AI and data.
- [Careers](https://arinti.ai/careers): Open positions.
- [Contact](https://arinti.ai/contact): Get in touch.

## Current offerings

- [Data & AI Strategy](https://arinti.ai/data-ai-strategy): A pragmatic Data & AI strategy exercise: six focused deep dives and an AI readiness assessment that turn departmental needs into one executable Data & AI roadmap in about twelve weeks.

## Services

- [Engineering](https://arinti.ai/services): We close the gap between ambition and impact by building solutions that are designed to deliver value from the start. That could be a custom AI application, a mesh of AI agents, or an autonomous agent embedded in your workflows.
- [Data](https://arinti.ai/services): Great AI is only as good as the data behind it. We build the platforms and pipelines that turn scattered, messy data into a structured, reliable foundation, and then put it to work with models that deliver unique insights and AI solutions with measurable outcomes.
- [Advisory](https://arinti.ai/services): Before building anything, you need to know where AI will actually move the needle. We work with your leadership to cut through the noise, assess what's realistic, and shape a strategy that connects AI to real business outcomes — not just technology ambitions.

## Cases

- [Sinerisk, independent insurance overview app, from idea to launch in two months](https://arinti.ai/cases/sinerisk): Sinerisk is an insurtech app that bundles a household's insurance policies into one plain-language overview. Flagging coverage gaps and overlaps, and helping users prepare a claim file when something goes wrong. Together with founder Mattias Vercauteren, we took it from idea to launch on the App Store and Google Play in just two months.
- [A hybrid governance model for data and AI at scale](https://arinti.ai/cases/mercedes): Mercedes-Benz operates a Customer Assistance Center serving 40+ markets worldwide. We defined a pragmatic data & AI strategy, aligning governance, ownership, and technical architecture for scaling on Databricks and Azure within a SAFe environment.
- [Governed Databricks data platform for global operations](https://arinti.ai/cases/volvo-logistics): Volvo Logistics distributes over 700,000 spare parts worldwide. We built a governed Databricks data platform that unified operational data from six global sites, delivering up to 40% efficiency gains, 99% reduction in pipeline latency, and self-service analytics for business users.
- [Forecasting sales across 14 product categories](https://arinti.ai/cases/unilever): Sales forecasting for Unilever Belgium, predicting daily and monthly sales volumes across 14 product categories using category-specific machine learning models, with Power BI dashboards for the commercial team.
- [AI scheduling tool wins back 17 production days per year](https://arinti.ai/cases/griffith-foods): AI scheduling tool wins back 17 production days per year: an algorithm that optimises production line cleaning sequences at Griffith Foods' Herentals facility, reducing wet cleanings by 5%, saving 1,000m³ of water annually, with payback in 10 months and global rollout to all 21 sites.
- [GenAI-powered virtual assistant for citizen services](https://arinti.ai/cases/stad-kortrijk): AI-powered virtual assistant for citizen services - the first GenAI-powered chatbot on a Flemish municipal website, combining conversational AI with semantic search to answer citizen questions in plain Dutch, directly from the city's own content.
- [Automating parcel label extraction](https://arinti.ai/cases/latvian-post): Automating parcel label extraction at Latvian Post, using Azure Form Recognizer and computer vision to liberate 2,000+ hours of manual work per month by automatically reading and completing missing parcel data.
- [Smooved - Recommending brokers to house owners](https://arinti.ai/cases/smooved-broker-recommendation): Belgium has over 5,000 active brokers and no reliable way for property owners to compare them. We built the recommendation engine behind HouseMatch.be, analysing broker data daily using an Azure data warehouse, BERT sentiment analysis, and a custom explainable matching model.
- [From SharePoint archive to knowledge tool](https://arinti.ai/cases/fit-sharepoint-knowledge-tool): AI-powered enterprise search for Flanders Investment & Trade, turning 15,000 documents into a searchable knowledge base with automatic metadata extraction, image analysis, and semantic search on Azure AI Search, supporting 10,000 client enquiries per year.
- [DAIQUIRI - AI for live sports reporting](https://arinti.ai/cases/daiquiri): DAIQUIRI (Data & AI for Quantified Reporting In sport) was an imec.icon research project that developed AI algorithms and a sensor data platform for enriching live sports broadcasts with real-time athlete data, demonstrated in professional cyclocross and elite hockey.
- [YANA - Chatbot for Youth Safety in Mechelen](https://arinti.ai/cases/yana): Chatbot YANA ("You Are Never Alone") guides youngsters safely through Mechelen's nightlife: a Facebook Messenger bot that tracks your journey, confirms safe arrival, and alerts your contacts when something seems off.
- [TAFUTA - A cognitive search platform](https://arinti.ai/cases/tafuta-cognitive-search-platform): Tafuta is our AI-powered Cognitive Search solution. Extracting, structuring, and surfacing knowledge from any document type across your organization using NLP, computer vision, and custom entity detection.
- [YouFlanders - Safe tourism during COVID-19](https://arinti.ai/cases/youflanders): Mobile app for Tourism Flanders that provided real-time crowd levels, local COVID-19 measures, and tourism recommendations, built in under three months with Cronos Public Services, Monkeyshot, and Studio Hyperdrive, launched on 8 June 2020.
- [COVID-19  triage at pandemic speed](https://arinti.ai/cases/covid-healthbot): In March 2020, Microsoft selected Arinti as the sole Belgian implementation partner for COVID-19 Healthbot deployments. Within 12 days, we deployed symptom-checking chatbots at 6 Belgian hospitals, and followed up with a patient triage bot integrated with electronic patient dossiers.
- [Social robots for personalised diabetes education in children](https://arinti.ai/cases/robocure): ICON research project investigating how social robots, IoT, and AI can improve diabetes treatment in children. We built StoryLine 2 Pepper: a tool that lets non-technical staff create interactive learning content delivered by a humanoid robot, with LRS integration for monitoring patient education.
- [Chatbot Bertje - digital citizen services for the City of Roeselare](https://arinti.ai/cases/chatbot-bertje): Chatbot Bertje answers citizen questions for the City of Roeselare across all municipal domains, 24/7 — built with a database of 1,000 questions, NLP-based training, and automatic routing to the city's complaint handling system. Live since October 2019.
- [VDAB Future of Work Challenge](https://arinti.ai/cases/vdab-future-of-work-challenge): Winner of the VDAB Future of Work Challenge with CompeTrend, a system that predicts competency trends and maps skill similarity to help jobseekers find realistic retraining paths.
- [Business process automation for HR services](https://arinti.ai/cases/partena-professional): Chatbot Louise automates end-of-contract procedures at Partena Professional — reducing dismissal advice from 60+ minutes to 15–20 minutes, serving 900 payroll consultants daily, and going from prototype to production in three months.

## Insights

- [Three frontends rebuilt in three weeks, with AI agents doing the heavy lifting](https://arinti.ai/insights/three-frontends-rebuilt-in-three-weeks-with-ai-agents): An external pentest turned a long-postponed frontend rebuild into a hard deadline. One developer, working with AI agents, delivered three modern, secure and mobile-friendly web apps in three weeks, ten days early.
- [Advancing Your Data Governance Strategy with Microsoft Fabric](https://arinti.ai/insights/microsoft-fabric-data-governance): Data governance is no longer just about securing information or meeting compliance standards. With Microsoft Fabric, organisations can bring together fragmented tools into one cohesive governance framework.
- [Redefining data management for organisations with Microsoft Fabric](https://arinti.ai/insights/microsoft-fabric-data-management): Microsoft Fabric unifies diverse data management tools into a cohesive SaaS platform. This article explores its architecture and how they empower organisations to optimise data operations.
- [From scattered onboarding emails to a single chatbot](https://arinti.ai/insights/building-internal-hr-chatbot-genai): We built an internal chatbot to answer employee questions using OpenAI GPT, LangChain, and our own Notion knowledge base. Here's how we did it, from document ingestion to deployment.
- [Interview with Microsoft on it's three-pillar sustainability strategy](https://arinti.ai/insights/interview-microsoft-sustainability-partner): In the third instalment of our sustainability interview series, we spoke with Myriam Broeders (CTO) and Mathias Vergauwen (Technical Architect) at Microsoft Belgium about their three-pillar sustainability strategy.
- [Interview with BekaertDeslee on circularity challenges and the role of digital tools](https://arinti.ai/insights/interview-bekaertdeslee-sustainability-technology): In the second instalment of our sustainability series, we spoke with Charles Christiaens, sustainability manager at BekaertDeslee, about circularity challenges in textile manufacturing, CSRD preparation, and the role of digital tools.
- [Interview with Dyneema - Growing towards a sustainable, circular industry model](https://arinti.ai/insights/interview-dyneema-avient-circular-industry): In the first instalment of our sustainability series, we spoke with Keith Rowsey, sustainability manager at Avient Protective Materials (Dyneema), about building circular value chains, reverse logistics, and scope 3 emissions.
- [Getting value from large datasets in a short amount of time](https://arinti.ai/insights/getting-value-large-datasets-short-time): We performed a one-week data analysis for NMBS (Belgian railways) on datasets with millions of rows. Here are our tips for investigating large datasets when time is of the essence.
- [Ethics and the power of AI – having a chat with Minister Bart Somers](https://arinti.ai/insights/ethics-ai-minister-bart-somers): The mayor of Mechelen and Vice-Minister-President of the Flemish Government met with Arinti and Microsoft to discuss the possibilities of AI in government and its ethical consequences.
- [Internship report: Using AI to personalise medical questionnaires](https://arinti.ai/insights/internship-ai-personalize-medical-questionnaires): Intern Usman Dankoly researched AI techniques to personalize PRO-CTCAE questionnaires for lung cancer patients, using K-means clustering and personalised recommendation scores to reduce questionnaire burden.
- [Internship report: Solving a game of Qwirkle with Custom Vision & OpenCV](https://arinti.ai/insights/internship-qwirkle-custom-vision-opencv): An internship project using Custom Vision and OpenCV to detect Qwirkle tiles and calculate optimal moves.
- [Cognitive Search: unlocking value from unstructured data](https://arinti.ai/insights/cognitive-search-unstructured-data): How Tafuta, Arinti's cognitive search platform, helps organisations retrieve value from unstructured data using NLP, speech-to-text, and image processing.
- [Internship report: Education Recommender Bot](https://arinti.ai/insights/internship-education-recommender-bot): Intern Brecht Noyens built a chatbot that recommends the best field of study to future students, combining Microsoft Bot Framework Composer with a Python-based recommendation engine on Azure.
- [Redeeming the chatbot: more than easy customer interactions](https://arinti.ai/insights/redeeming-the-chatbot): Chatbots are more than marketing gimmicks. From virtual assistants and safety buddies to symptom checkers during COVID-19: here's an overview of different chatbot types and how we build them.
- [How to: Installing modules in a Python Azure function](https://arinti.ai/insights/installing-modules-python-azure-function): A practical guide to installing Python modules in Azure Functions, including setup tips and deployment considerations.
- [Internship report: Can an AI play Rummikub?](https://arinti.ai/insights/internship-ai-play-rummikub): An internship project exploring whether AI can play Rummikub by combining computer vision with Monte Carlo Tree Search.
- [AI and RPA for an automated sales order process](https://arinti.ai/insights/ai-rpa-automated-sales-order): How AI and robotic process automation can automate repetitive tasks like sales order entry, demonstrated through an AI assistant called Raphael.
- [Microsoft Power Virtual Agents: a first look](https://arinti.ai/insights/microsoft-power-virtual-agents-first-look): A first look at Microsoft Power Virtual Agents: a no-code tool that lets subject matter experts build virtual agents without developers.
- [Azure Machine Learning – The Responsible Road](https://arinti.ai/insights/azure-machine-learning-responsible-road): Exploring responsible machine learning through Microsoft's framework: understanding, protecting, and controlling AI systems.
- [Chatbot human handover with Microsoft Teams](https://arinti.ai/insights/chatbot-human-handover-microsoft-teams): How Arinti enables seamless handover from chatbot to human agent through Microsoft Teams integration.
- [A pragmatic approach to identifying AI business cases](https://arinti.ai/insights/how-to-identify-ai-projects-business): At Arinti, we use a structured data audit methodology to identify AI-powered business cases. Four steps, three deliverables, and a roadmap to get your AI journey started.
- [Four years Arinti – Four lessons from four years of AI projects](https://arinti.ai/insights/4-years-arinti-4-lessons-ai-success): After four years of AI projects, here are the four most important lessons we've learned: be open to change, empower everyone, account for hidden costs, and define your goals before you start.
- [Smart Monitoring: Predictive Maintenance and Anomaly Detection Explained](https://arinti.ai/insights/smart-monitoring-predictive-maintenance-anomaly-detection): We built a smart monitoring dashboard for Fednot using Azure Databricks, Anomaly Detector API, and Power BI, turning unstructured log files into predictive maintenance insights.
- [Smart Policing Hackathon: AI-driven crime investigation](https://arinti.ai/insights/smart-policing-hackathon): Arinti won the Smart Investigation challenge at the first Belgian Smart Policing Hackathon with Tafuta, our Cognitive Search and Graph Analytics solution for knowledge discovery in criminal data.
- [Data-driven companies: when being good enough is no longer sufficient](https://arinti.ai/insights/data-driven-companies): Data-driven companies outperform their competitors, yet 9 out of 10 firms point to cultural challenges as the biggest bottleneck. Three practical recommendations for becoming data-driven.
- [Bachelor's thesis: Converting sign language into text using AI](https://arinti.ai/insights/sign-language-text-ai): We co-promoted a bachelor's thesis on using image recognition AI to convert Flemish Sign Language into written text, comparing Azure Custom Vision, Google AutoML Vision, and Amazon Rekognition.
- [Internship report: K-Means clustering EWS data](https://arinti.ai/insights/internship-kmeans-clustering-ews): Intern Senne built a patient monitoring dashboard with K-Means clustering on Early Warning Score data, categorising patients by health trajectory to support clinical decision-making.
- [Dealing with Optimisation Problems: FitJSP](https://arinti.ai/insights/optimisation-problems-fitjsp): How we used genetic algorithms to solve a job-shop scheduling problem and built a drag-and-drop online tool for interactive schedule management.
- [Build your own image dataset with Bing Image Search API](https://arinti.ai/insights/data-gathering-image-recognition): A step-by-step Python guide for building your own image dataset using the Bing Image Search API, from search and download to storing results in Azure Machine Learning Studio.
- [Alterations – A Hidden Gem In QnA Maker](https://arinti.ai/insights/alterations-hidden-gem-qna-maker): QnA Maker's alterations feature lets you define synonym lists via the API, reducing training effort and improving accuracy, especially for non-English languages with fewer pre-trained synonyms.
- [3 Different Flavors For Building Chatbots With Microsoft](https://arinti.ai/insights/3-flavors-building-chatbots-microsoft): Microsoft offers three tools for building chatbots: Power Virtual Agent (no-code), Bot Framework Composer (low-code), and Bot Framework SDK (full flexibility). Here's how they compare and who each one is for.
- [Network flow: a powerful tool for modelling problems](https://arinti.ai/insights/network-flows-applicability): An introduction to network flow algorithms: from finding edge-disjoint paths to solving employee-project matching problems with bipartite graphs and max-flow-min-cost optimisation.

## Open positions

- [AI Engineer](https://arinti.ai/careers/ai-engineer): Good AI doesn't stop at the model. As an AI Engineer, you design, build, and integrate AI-powered solutions grounded in what really works. You collaborate with colleagues across disciplines to address real business needs — not technology for technology's sake.
- [Data Engineer](https://arinti.ai/careers/data-engineer): High-quality data first, smart processes next. As a Data Engineer, you help our clients design and implement robust, scalable data solutions and pipelines. You work on large-scale, challenging projects for clients that matter. You make sure their AI initiatives are built on solid data foundations.
- [Data Architect / Lead Data Engineer](https://arinti.ai/careers/data-architect-lead-data-engineer): We're an AI-native organisation with a track record that predates the recent GenAI surge — from Data Engineering to agentic AI. You'll work with a team driven to find solutions, current with the latest technology, and grounded beyond the hype.

## Nederlands (nl)

- [Diensten](https://arinti.ai/nl/services): AI- en datadiensten: strategie, data engineering, toegepaste ML, GenAI en agentic AI.
- [Over ons](https://arinti.ai/nl/about-us): Team, partnerships en hoe Arinti werkt.
- [Cases](https://arinti.ai/nl/cases): Klantprojecten en resultaten.
- [Insights](https://arinti.ai/nl/insights): Artikels en praktische gidsen over AI en data.
- [Jobs](https://arinti.ai/nl/careers): Openstaande vacatures.
- [Contact](https://arinti.ai/nl/contact): Neem contact op.

### Diensten

- [Engineering](https://arinti.ai/nl/services): We dichten de kloof tussen ambitie en impact met oplossingen die ontworpen zijn om van bij de start waarde op te leveren. Dat kan een custom AI-applicatie zijn, een mesh van AI-agents, of een autonome agent ingebed in je workflows.
- [Data](https://arinti.ai/nl/services): AI is maar zo sterk als de data erachter. We bouwen de platformen en pipelines die verspreide, rommelige data omzetten in een gestructureerd, betrouwbaar fundament, en zetten die vervolgens aan het werk met modellen die unieke inzichten opleveren en AI-oplossingen met meetbare resultaten.
- [Advisory](https://arinti.ai/nl/services): Voor je iets bouwt, moet je weten waar AI echt het verschil maakt. We werken met je leadership-team om de ruis weg te filteren, in te schatten wat realistisch is en een strategie te vormen die AI verbindt met echte businessresultaten, niet enkel met technologie-ambities.

### Cases

- [Sinerisk, onafhankelijke verzekeringsapp, van idee tot lancering in twee maanden](https://arinti.ai/nl/cases/sinerisk): Sinerisk is een insurtech-app die de verzekeringspolissen van een gezin bundelt in één overzicht in klare taal. De app signaleert dekkingsgaten en overlappingen, en helpt gebruikers een schadedossier voor te bereiden wanneer er iets misgaat. Samen met oprichter Mattias Vercauteren brachten we het product van idee tot lancering in de App Store en op Google Play, in amper twee maanden.
- [Een hybride governancemodel voor data en AI op schaal](https://arinti.ai/nl/cases/mercedes): Mercedes-Benz runt een Customer Assistance Center dat wereldwijd meer dan 40 markten bedient. We definieerden een pragmatische data- en AI-strategie die governance, ownership en technische architectuur op elkaar afstemt om te schalen op Databricks en Azure binnen een SAFe-omgeving.
- [YANA - chatbot voor jongerenveiligheid in Mechelen](https://arinti.ai/nl/cases/yana): Chatbot YANA ("You Are Never Alone") loodst jongeren veilig door het Mechelse uitgaansleven: een Facebook Messenger-bot die je route volgt, je veilige aankomst bevestigt en je contactpersonen verwittigt wanneer er iets niet pluis lijkt.

### Insights

- [Drie frontends herbouwd in drie weken, met AI-agents die het zware werk doen](https://arinti.ai/nl/insights/three-frontends-rebuilt-in-three-weeks-with-ai-agents): Een externe pentest maakte van een lang uitgestelde frontend-rebuild een project met een harde deadline. Eén developer, werkend met AI-agents, leverde in drie weken drie moderne, veilige en mobielvriendelijke webapps op, tien dagen vóór de deadline.
- [Je datagovernance-strategie versterken met Microsoft Fabric](https://arinti.ai/nl/insights/microsoft-fabric-data-governance): Datagovernance draait allang niet meer alleen om informatie beveiligen of compliant zijn. Met Microsoft Fabric brengen organisaties versnipperde tools samen in een samenhangend governance-raamwerk.
- [Ethiek en de kracht van AI: in gesprek met minister Bart Somers](https://arinti.ai/nl/insights/ethics-ai-minister-bart-somers): De burgemeester van Mechelen en viceminister-president van de Vlaamse Regering ging met Arinti en Microsoft in gesprek over de mogelijkheden van AI bij de overheid en de ethische gevolgen.
- [Een pragmatische aanpak om AI-businesscases te identificeren](https://arinti.ai/nl/insights/how-to-identify-ai-projects-business): Bij Arinti gebruiken we een gestructureerde data-auditmethodiek om AI-businesscases te identificeren. Vier stappen, drie deliverables en een roadmap om je AI-traject te starten.
- [Vier jaar Arinti: vier lessen uit vier jaar AI-projecten](https://arinti.ai/nl/insights/4-years-arinti-4-lessons-ai-success): Na vier jaar AI-projecten zijn dit de vier belangrijkste lessen: sta open voor verandering, geef iedereen slagkracht, hou rekening met verborgen kosten en bepaal je doelen voor je begint.

### Openstaande vacatures

- [AI Engineer](https://arinti.ai/nl/careers/ai-engineer): Goede AI stopt niet bij het model. Als AI Engineer ontwerp, bouw en integreer je AI-oplossingen die gestoeld zijn op wat echt werkt. Je werkt samen met collega's uit verschillende disciplines om echte businessnoden aan te pakken, geen technologie om de technologie.