AILO

Copenhague, Danemark

Votre département externe de données et d'IA

AILO est une agence de données basée à Copenhague et à Amsterdam. Nous agissons en tant que département de données externe pour nos clients - en construisant l'infrastructure, les tableaux de bord et les outils d'IA qui transforment les données dispersées en quelque chose que les équipes peuvent réellement exploiter. Nous connectons les systèmes fragmentés, construisons des pipelines de données et des entrepôts de données fiables, et développons des tableaux de bord personnalisés et des modèles prédictifs adaptés au fonctionnement réel d'une entreprise. Nos clients viennent généralement nous voir parce que leurs données sont stockées dans trop d'endroits, que leurs rapports sont manuels et lents, ou qu'ils veulent utiliser l'IA mais ne savent pas par où commencer. Nous travaillons de bout en bout : de l'audit des systèmes et des sources de données existants, à la construction de l'infrastructure, en passant par la fourniture des analyses et des outils qui rendent les données utilisables au quotidien. Nous restons également étroitement impliqués après le lancement - notre travail est conçu pour évoluer avec l'entreprise, pas pour être remis et oublié. Nos Services - Développement d'infrastructure et de pipelines de données - Entreposage de données et intégration de systèmes - Tableaux de bord de business intelligence - Modélisation prédictive et apprentissage automatique - Développement d'outils d'IA et automatisation - Stratégie et conseil en données

9 personnes dans leur équipe

Parle Anglais

Travaille à distance à travers le monde

Membre Sortlist depuis 2026

Fondée en 2024

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Services

4 services offerts par AILO

Description
We build and orchestrate data infrastructure on cloud platforms as part of a broader data foundation, this forms the backbone underneath the dashboards and models our clients rely on daily. For Madklubben, we built a unified data platform in Snowflake, orchestrated on Azure, ingesting data automatically every day with no manual handling required. The same approach applies for SaaS companies consolidating product and usage data, and for consultancies that need a cloud-based delivery layer behind a client engagement. Our cloud work is always in service of a clear business outcome: reliable, current data that the rest of the organisation can build on and scale with as new needs emerge.
Compétences en solutions-cloud (11)
Microsoft AzureCloud StorageAzure ConsultingInfrastructure EngineeringData WarehousingGoogle Cloud ConsultingData Warehouse ConsultingDatabase MigrationDatabase ManagementGoogle Cloud AutoML+1
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Description
We work as your external data department - building the infrastructure, dashboards, and predictive models that turn fragmented data into a single source of truth your team can act on. Most businesses generate data continuously across systems that were never built to talk to each other. We connect those systems into unified, automated data warehouses, then design the reporting layer on top, from daily operational dashboards to 360° customer views, so the right people see the right numbers and trends without manual reporting. We work across the full data stack: connecting source systems, structuring raw data into usable signals, building interactive Tableau and BI environments, and developing predictive models for forecasting, segmentation, and decision support. Every engagement is built to last, we stay close to what we build, maintaining and extending it as your needs evolve. We've built and now maintain data foundations for hospitality and fitness groups including Madklubben (40+ locations) and Jagger/Otto/Ritta, as well as supporting strategy consultancies and SaaS businesses as their technical delivery partner.
Compétences en Data Consulting (30)
Machine LearningData AnalyticsData VisualizationBusiness IntelligenceAnalyticsData ScienceData MiningData DiscoveryData ReportingData Analysis+20
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Description
We design and build the data warehouses, pipelines, and analytical layers that turn scattered systems into one reliable data foundation. For multi-location businesses, that means connecting POS, booking, and marketing data into a single warehouse. For SaaS companies, it means consolidating product, usage, and billing data to understand what's actually driving growth and churn. Once that foundation is in place, we build live, interactive BI environments (primarily in Tableau or Power BI) that surface the numbers automatically, with no manual handling. Reporting is designed to serve every level of the organisation, from leadership dashboards to team-level operational views. We deliver this work directly for our own clients, and we also act as the technical execution layer for strategy consultancies - handling the data engineering and BI build behind a strategic recommendation, so the consultancy's idea becomes a live tool rather than a one-time presentation.
Compétences en Web analytique/Big data (27)
Machine LearningData AnalyticsData VisualizationBusiness IntelligenceAnalyticsData ScienceBig Data AnalyticsData DiscoveryData ConsultingData Reporting+17
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Description
We build predictive models as a natural extension of the data infrastructure we design, not as a standalone product, but as the next layer once a reliable data foundation is in place. This includes forecasting, customer segmentation, and decision-support models built on operational, product, or customer data already consolidated in our clients' data warehouses. Recent work includes a churn prediction and customer segmentation model (and the pipeline behind it) for a hospitality client, an AI agent project currently underway on Snowflake, and a sales demand forecasting model in scoping to help a client optimise staff scheduling. Our predictive work is grounded in real business questions, such as anticipating demand, segmenting customers, or surfacing patterns that inform decisions, rather than experimental AI for its own sake. Because we also own the underlying data infrastructure, our models are built on accurate, well-structured data from day one.Our predictive work is grounded in real business questions, anticipating demand, segmenting customers for targeted activation, or surfacing patterns that inform operational decisions, rather than experimental AI for its own sake. Because we also own the underlying data infrastructure, our models are built on accurate, well-structured data from day one.
Compétences en Intelligence Artificielle (11)
Machine LearningDeep LearningPredictive AnalyticsAI AlgorithmAI ExpertiseGenerative AIAI StrategyMarketing optimizationSales forecastingNatural Language Processing+1
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Équipe

9 membres dans l'équipe de AILO

HistoireAILO was founded by four data scientists in Copenhagen who saw the same problem everywhere: businesses collecting data across systems too fragmented to use.

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Détails

Siège socialPeter Fabers Gade 42, kld tv, Copenhagen, Denmark