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Facility Management: Intelligently Coordinating Maintenance Requests

A facility management provider with 250 employees manages 45 commercial properties — office complexes, logistics centres, production facilities. Around 1,800 maintenance requests and fault reports arrive each month. Coordinating between tenants, technicians, subcontractors, and owners was an organisational headache: information scattered across emails, WhatsApp groups, and spreadsheets.

Hospital: AI Knowledge Base for Nursing Staff

A general hospital with 800 beds and 1,400 employees faces a structural problem: medical knowledge is scattered across guidelines, internal standards, ward handbooks, and training materials — and barely accessible to nursing staff in everyday practice. When a night shift nurse has a question about the dosage of a rarely used medication, they call the on-call physician. This ties up medical resources for questions that could simply be looked up.

Research Institute: Navigating the Literature Jungle with AI

An independent research institute with 120 scientists in materials science and chemistry publishes around 180 journal articles per year. Every article requires a systematic literature overview: what is known? What is contested? What is missing?

Mechanical Engineering: Maintenance and Fault Analysis with a Local AI Copilot

A mid-sized machine manufacturer with 200 employees sells and maintains complex production systems. Its technical field service — 18 service engineers — works in a decentralized way: on-site at customer facilities every day, often with poor or no internet connectivity. When confronted with an unfamiliar fault, they used to call the home office or flip through paper manuals for hours. Design data, fault histories, and spare parts catalogues were spread across different systems — none of them usable in the field.

R&D Department: Analyse Patents Before It Gets Expensive

The R&D department of a mid-sized technology company with 450 employees develops proprietary sensors for industrial applications. Before every development project, patent searches must be conducted: are there existing patents that could block our planned solution? (Freedom to Operate) What white spaces in the patent landscape could we occupy?

Public Sector: AI-Assisted Citizen Services

A district administration serving 200,000 residents receives several hundred email enquiries daily — from building permit applications to social welfare questions and driving licence matters. Manual initial sorting by case workers consumed significant capacity.

Wholesale: Precise Demand Forecasting – Never Too Much or Too Little

An industrial wholesaler with 600 employees and 180,000 articles holds average annual inventory of €28 million. Of this, 22% is classified as slow-moving or dead stock — items over-purchased because demand planning relied on experience and spreadsheets.

Manufacturing: Quality Control with Computer Vision

A mid-size automotive supplier produces over 50,000 plastic parts daily. Defective parts must be reliably identified — previously through manual visual inspection, with the associated error rate and personnel overhead.