Success stories our customers talk about.
We combine our clients' drive for innovation with Ailio's know-how – and achieve more together.
- 300+
- Data & AI projects
- 12+
- years of experience
- 18
- data experts
- 2
- locations
Process industryPlant capacity without hardware investment
Ingredion needed data-driven predictions for optimal response times. Precise forecasts for all production conditions increased capacity by up to 10% in six months.
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Service & repairAI guided repair assistant
An MVP for guided repair plus automatic quoting in just two months. The assistant suggests the procedure to technicians directly in the service software with 90% accuracy.
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Chemical companyData lakehouse as a central intelligence platform
SAP, Salesforce, production and sensor data transferred to Databricks — a central data platform for AI, BI and GenAI use cases of many data teams.
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TelecommunicationsNext-best-action marketing at a telco group
Data science-supported control of call centers and sales activities: 20% more call acceptance and, depending on the product, 2–15% more sales.
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TelecommunicationsAI-driven fibre rollout area planning
A planning tool that identifies optimal expansion areas and predicts expansion costs and sales forecasts in a data-driven and explainable manner.
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Generative AIInternal ChatGPT with RAG pipeline for the Feddersen Group
An in-house GPT in Azure: Search documents from all holding companies and subsidiaries, with rights and tenant management and GDPR-secure processing.
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Industrial AIPredictive quality in plastic production
Time series data from the extruders and laboratory data in one model: deviations are detected early, before scrap occurs.
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Data infrastructureMigrating from SAS to Python, Azure and Databricks
Complex analyzes of a historical SAS infrastructure transferred to a modern target architecture - cross-team and scalable.
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Business IntelligenceRemmert optimizes data analysis with Azure DWH & Power BI
Consolidate growing amounts of data from many source systems into an Azure data warehouse with self-service BI in Power BI.
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Industrial AIIngredion: AI optimizes moisture content and quality in food
Dynamic, predictive humidity control based on continuous sensor data – for constant quality, higher yield and less energy use.
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FinanceBanking: DWH & Data Governance for compliance and efficiency
Central database and binding governance framework for a financial institution – for reliable reporting and less regulatory effort.
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HealthcareData strategy for a healthcare cloud platform
Vision, target image and roadmap for a secure, interoperable cloud data platform with Databricks in the regulated healthcare environment.
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Frequently asked questions
Are the figures shown verifiable?+
Yes. All figures come from the projects themselves and are agreed with the clients. In many cases the clients talk about them in webinars or at conferences.
Do you only work with large companies?+
No. Most of our projects run in upper mid-sized companies – often with small IT teams that need support on architecture and delivery.
Can we talk to one of your clients?+
In many cases, yes. Tell us which industry and use case matter to you and we'll ask specifically.
How long did these projects take?+
The first productive value usually appeared after one to three months. The rollout then continued in several stages.