Use-case register
Every published entry, filterable by sector, AI capability and where the system runs. Each one names the organisation behind it wherever the source does.
University Hospital Bonn runs an isolated on-premise open-weights LLM service for radiology
University Hospital Bonn built a self-hosted, isolation-first LLM inference stack on a single on-premise server with eight NVIDIA A100 GPUs, serving DeepSeek-R1 via vLLM, and obtained governance approval to process unanonymized patient data. In a one-week pilot, 22 radiologists used ten prompt templates; source-anchored tasks such as report corrections and simplifications rated highest, while open-ended conclusion generation produced the most critical errors. The service is described as the base for an official service for a hospital with over 10,000 employees.
University Hospital Bonn· GermanyDeepSeek-R1 · vLLM · Open WebUINamirial adds generative AI summarization and an intelligent assistant to eSignAnywhere with Amazon Bedrock
Digital trust company Namirial used foundation models on Amazon Bedrock to build two eSignAnywhere features: document summarization and an Intelligent Assistant that answers user queries about document content. Workloads and data run in the AWS Europe (Ireland) Region for GDPR compliance, and customer data is not used to train or fine-tune models.
NamirialAmazon BedrockCliniques universitaires Saint-Luc deploys an on-premises Qwen3-235B assistant inside its Epic EHR
A Brussels university hospital hosts a GDPR-compliant LLM assistant on-site on a server with 8 NVIDIA H200 GPUs, using Qwen3-235B, vLLM, LiteLLM, Open WebUI and retrieval over EHR documents and literature. After a one-month pilot with 28 physicians, it was deployed hospital-wide and adopted by 1,028 users who generated 14,910 conversations over five months.
Cliniques universitaires Saint-Luc· BelgiumQwen3-235B · vLLM · LiteLLM +5DACH insurance group runs an on-prem Qwen3-32B LLM for claims and underwriting staff with no data leaving its own infrastructure
A large Germany-headquartered insurance group supervised by BaFin moved an AI pilot to production by running Qwen3-32B (AWQ 4-bit, vLLM) on two NVIDIA L40S GPUs in its own server room, with no outbound internet access. An internal RAG platform serves a copilot for claims and underwriting staff plus batch summarization and classification, with SSO-bound role-based access and a per-request audit trail. Built by Valletta Software.
European Commission Builds Sovereign, Self-Hosted Generative AI Platform AI@EC with deepset
The European Commission partnered with deepset to build AI@EC, a self-hosted sovereign AI platform based on the Haystack Enterprise Platform, co-developed with the Commission's Directorate-General for Digital Services (DG DIGIT). The platform runs entirely on Commission-managed infrastructure, keeping Sensitive Non-Classified data within EU-controlled systems and enforcing EUDPR and EU AI Act compliance through an AI Governance Board, automated guardrails, audit trails, EU Login authentication, and role-based access. It lets both technical and non-technical staff build and govern generative AI agents and applications - templates cover use cases like knowledge management, document summarization, chatbots, and multilingual policy analysis - with 68 active builders, 29 Directorate-Generals running AI pipelines, and 316 pipelines in production or ready for rollout. The Commission's original GPT@EC conversational assistant is being migrated onto the platform.
European CommissionHaystack Enterprise Platform · Haystack · AISSOphelos uses reinforcement learning and NLP to modernize debt collection
Ophelos, a debt-collection technology company, built the Ophelos Decision Engine, a fully automated ML-powered outbound communication strategy using reinforcement learning to send the best message to each customer at the right time to help resolve their debt, on the Databricks Data + AI Platform with MLflow and Feature Store. It also built OLIVE (Ophelos Linguistic Identification of Vulnerability), an NLP model served via MLflow that scans inbound customer communications to identify people in vulnerable situations. The Decision Engine drove a 25% increase in customers resolving their debts, with 88.3% of customers self-served and 89% rating their experience 4 or 5 stars.
OphelosDelta Lake · MLflow · Databricks Photon +1
Relay42 predicts customer conversion likelihood to power personalized journeys
Relay42, a Customer Data Platform (CDP), uses customer data on the Databricks Data + AI Platform to predict how likely a shopper is to convert; the prediction feeds a decision engine based on anonymized PII to build customer profiles that inform next-best-action messaging. For example, a major Singapore telecommunications client uses this to determine what messages to send shoppers researching phone plans and when. The migration from Hadoop/Cassandra to Databricks cut time to deliver complete customer data from 20-24 hours to 1.5 hours and real-time analytics from 8 hours to about 15 minutes, saving over €180K/year in storage costs.
Relay42Delta LakeCANAL+ Group Builds Gender Equality Monitoring AI Framework and Generative AI Chatbot on AWS
CANAL+ Group built an "AI Factory" on AWS to accelerate AI-driven solutions, including the Gender Equality Monitoring (GEM) framework, which uses Amazon SageMaker, Amazon Rekognition and Amazon Transcribe to analyze speaking time, on-screen presence and topic coverage by gender across its content, and a generative AI chatbot built on Amazon Bedrock for its myCANAL platform.
SIGNAL IDUNA rolls out Gemini Enterprise to 10,000+ employees, cutting policy-document search errors 40%
SIGNAL IDUNA, a major German insurer, deployed Google Cloud's Gemini Enterprise app (internally 'Co SI') to over 10,000 employees and sales partners within six months, reaching 80% weekly active adoption. More than 100 internal AI champions built over 200 custom no-code agents in two weeks, including a message-routing agent that cut error rates by 40%. Co SI Health, built with Google Cloud, BCG and Deloitte using Document AI and Gemini models across 600+ insurance tariffs and thousands of policy documents, lets employees find answers in under 20 seconds and saw weekly usage grow 400% after the Gemini Enterprise rollout.
SIGNAL IDUNA· GermanyGemini Enterprise · Gemini Enterprise Agent Platform · Document AI +1Zavarovalnica Triglav automates customer service with Azure OpenAI chatbot
Zavarovalnica Triglav, Slovenia's leading insurance and financial group, built its own chatbot using Azure OpenAI Service (rather than a public solution, to meet data protection regulations), trained on its company knowledge base, to draft responses to customer enquiries for agent review, automatically answering around 10% of queries directly. For the remaining queries, the company built automated ticket routing using Azure OpenAI Service to read enquiry content and direct it to the right department, reducing manual intervention by about 50% for certain request types. It also automated transcription and summarization of recorded customer communications and deployed a customer-facing chatbot on its website, with a voice bot for the call center in development.
Zavarovalnica Triglav· SloveniaAzure OpenAI Service · Dynamics 365 · Azure Bot Framework +1AXA builds Secure GPT to give 140,000 employees safe generative AI access
AXA, a global insurance and asset management group with 93 million clients in 51+ countries, built AXA Secure GPT in under three months, a generative AI platform powered by Azure OpenAI Service that gives its 140,000 employees secure, GDPR-compliant access to generative AI for tasks like text generation, translation, and code generation, without data leaving AXA's dedicated cloud tenant. The platform uses Prompt Shields and AXA's own security layer on top of Microsoft's content filtering, and was rolled out first to AXA Group Operations across 14 countries with a curated library of 100+ department-specific prompts.
AXA· FranceAzure OpenAI Service · Azure AI StudioAutomating 100K+ Medical Codes for Faster Reimbursement
CodaMetrix's AI-powered Contextual Coding Automation Platform, CMX CARE, automatically translates clinical documentation into billable medical codes, processing over 300K patient encounters daily on the Databricks Data + AI Platform. The company reduced manual coding by 70%, cut coding-related denials by 60%, improved operational efficiency by 40%, and lowered AWS compute costs by 30%.
CodaMetrixDatabricks · Delta Lake · Unity Catalog +6Galene.AI Deploys a Sovereign-by-Design Conversational AI Platform on Scaleway
Galene.AI built a fully sovereign, self-hosted conversational AI platform running on Scaleway's GPU infrastructure, engineered so client data, models, and compliance remain entirely within European jurisdiction. The platform deploys as a private Kubernetes cluster, either on-premise or within a private Scaleway cloud, with all AI inference processed locally on Scaleway GPUs (from 2xL40S to H100-based configurations) rather than through external API calls. Data is encrypted in transit (TLS 1.3) and at rest (AES-256). The platform includes an agentic framework using Model Context Protocol (MCP) to connect private AI agents to internal knowledge bases and enterprise systems (CRMs, ERPs), and a built-in governance layer called Generative Shield that enforces real-time compliance across cybersecurity, ethical/legal, data protection, and output-accuracy dimensions. Scaleway's data centers are located exclusively in the EU (France, Poland, Netherlands), which the companies say eases GDPR data-residency compliance and EU AI Act compliance. Galene.AI's REST API is compatible with OpenAI's API specification.
myTomorrows Matches Patients to Clinical Trials Using AI Hosted in Europe
myTomorrows is a health tech platform that uses AI to match deidentified patient medical profiles against clinical trials and expanded access treatments not yet approved for public use. AI-based matching saves around 90 percent of the time compared to manual review by a medical professional, turning a two-hour task into about one minute. Because the platform processes health data, its large language models are hosted in Europe on AWS to comply with GDPR.
Delivering agentic AI to law firms globally using AWS with stp.one
stp.one, a Karlsruhe, Germany-based legal tech provider founded in 1993, built Legal Twin, an AI-driven platform integrated with its document management system STP Documents, using Amazon Bedrock (including Anthropic's Claude and the Titan embedding model) and Amazon Aurora PostgreSQL. Legal Twin offers six AI-powered capabilities including intelligent contract risk analysis and automated receivables processing, with responses grounded in case documents and court decisions and citations shown so lawyers can verify sources. It supports Model Context Protocol integration and lets clients with data sovereignty requirements store and process data locally, connecting on-premises storage with cloud-based processing. Certain claims that traditionally took 6-10 minutes to file can now be processed in under 30 seconds using Legal Twin, and productivity gains for users reach up to 3x at the upper end. The platform must comply with GDPR and Germany's federal code for lawyers.
stp.one· GermanyAmazon Bedrock · Anthropic Claude · Amazon Titan embedding model +2
GLBNXT delivers a sovereign AI platform powered by SUSE
GLBNXT, a Netherlands-based company launched in 2025, built a sovereign, ISO 27001-certified, NIS2-compliant AI platform on SUSE Rancher Prime and SUSE Virtualization (Rancher and Harvester), deployed on Dell and NVIDIA infrastructure. The platform lets organizations deploy enterprise AI without relying on foreign hyperscaler infrastructure, supporting EU AI Act compliance. A division of the Dutch government used the platform to build a natural-language chatbot that lets employees retrieve information across hundreds of thousands of documents. GLBNXT estimates its platform cuts AI deployment timelines from the typical 12-18 months down to 30 days (up to 18x faster), and each GLBNXT employee manages 15-20 AI agents running 24/7, driving up to a 20x boost in organizational productivity.
Independer cuts feature delivery 50% with Lakebase
Independer, the largest independent comparison platform in the Netherlands, used Databricks Lakebase to eliminate the export bottleneck between its Customer 360 data platform (built on Databricks and Unity Catalog) and the production APIs serving its website, customer service tools, and internal analytics. Because customer data had been fragmented across legacy on-premises systems, engineers previously had to write export scripts and load a separate SQL Server instance before building new features. By synchronizing gold tables directly with consuming services via Lakebase (built on PostgreSQL), Independer cut development work for new Customer 360 features by 50% and is now building GenAI agent proof-of-concepts that store state in Lakebase.
Independer· NetherlandsLakebase · Unity Catalog · Databricks Data + AI Platform +1Aizon Improves Pharmaceutical Manufacturing With Artificial Intelligence Using AWS
Aizon built a GxP-compliant AI platform on AWS to help pharmaceutical manufacturers optimize biomanufacturing processes. Using AWS IoT, AWS Lambda, and Amazon SageMaker, Aizon created digital twins of bioreactors that trigger machine learning operations for process optimization. For a multinational pharmaceutical company producing blood-plasma-based drugs, Aizon built unsupervised and supervised learning models that identified two critical process variables; optimizing them improved yield by double digits, worth potentially tens of millions of dollars. AWS also reduced Aizon's compute costs by up to 80 percent.
Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
PlenitudeDatabricks Data + AI Platform · Delta Lake · Unity Catalog +2Aareon builds AAVA, an AI virtual assistant integrated into its German property-management ERP, using Amazon Bedrock
Aareon, a Germany-headquartered property management software provider, integrated an AI virtual assistant called AAVA into its German ERP solution Wodis Yuneo using Amazon Bedrock. AAVA lets real estate housing company customers query documents, request information through chat, automate processes, and accelerate workflows -- including scheduling appointments between tenants and craftsmen, coding invoices, analyzing images to draft damage reports, and sorting incoming email, with both text and voice support. Aareon uses various LLMs available through Bedrock, including Anthropic's Claude models and Amazon Nova models, testing and selecting models by complexity and price performance for each use case (for example, a higher token-limit model for calculating service charges). The Bedrock deployment runs in the AWS Germany (Frankfurt) Region to help meet GDPR requirements, with customer data not used to train or improve the underlying models. The first version of AAVA was built in 4 weeks and announced to customers within 6 months, developed with support from AWS Partner Reply.
Aareon· GermanyAmazon Bedrock · Amazon Nova · Anthropic ClaudeBuilding a central data, analytics, and AI solution using AWS with Generali
Insurance and asset management group Generali built a central data, analytics and AI solution on AWS to standardize AI adoption across its more than 40 operating entities, using Amazon Redshift for the central data warehouse, AWS Glue for data-quality and transformation pipelines, Amazon SageMaker AI to automate claim settlement and predictive payout modeling, and Amazon Bedrock to power a generative AI customer-assistance agent providing instant responses. The company developed 16 flagship AI use cases spanning pricing, underwriting, claims processing and operations, deployable across operating entities via a centralized Global AI engine, while complying with GDPR and internal governance policies.
GeneraliAmazon Bedrock · Amazon SageMaker AI · Amazon Redshift +1A Journey Towards Unified Data Governance at bp
bp implemented Databricks Unity Catalog to unify data governance across data previously spread across disparate systems, migrating over 270 Databricks workspaces from two separate data hub platforms and 15 standalone instances, serving 10,000+ users across Finance ERP, Customer and Products, Production and Operations, and Enterprise business entities. The migration, run in four phased quarters, delivered centralized governance, granular row/column-level access control, and automated column-level data lineage and audit logs. bp expects the consolidation to save nearly $1 million annually plus roughly $4,000 weekly by eliminating manual Overwatch job management, and the migration unlocked Delta Sharing, SQL Serverless Warehouses, and further AI features like model serving and fine-tuning.
GoGuardian: Safer schools, empowered teachers, thriving students
GoGuardian, which powers safe, focused learning for half of U.S. K-12 students, migrated its ML infrastructure to Databricks to manage billions of daily inferences for web filtering, classroom management and harm prevention while maintaining a PII-free, COPPA/FERPA-compliant data environment. Using Delta Lake, Lakeflow, Unity Catalog, MLflow and Databricks Model Serving, GoGuardian achieved up to 50% reduction in machine learning operational costs, 90% operational cost savings with its Delphi website classification model, and a 62% reduction in inappropriate device use among students. AI-driven prioritization also cut the volume of records requiring human review for high-risk content by over 95%, from 1 million to 35,000-45,000.
GoGuardian· United StatesDelta Lake · Databricks Lakeflow · Unity Catalog +6Generali France Rides the Wave of Microsoft 365 Copilot and Agentic AI with Microsoft
Generali France rolled out Microsoft 365 Copilot, Copilot Studio, and Azure OpenAI as part of its 'Boost 2027' strategic plan. 100% of employees have access to Copilot Chat and 3,700 use Microsoft 365 Copilot, with 70% of the workforce adopting it and generating an average of fifteen prompts per user per week. About fifty agents built with Copilot Studio address specialized cases including helpdesk operations. A 24/7 voice assistant resolves nearly 1.3 million calls (30% of requests) directly, with no human intervention. Generative AI also supports home insurance subscription, compliance beneficiary searches, and claims management, where 2.1 million operations were processed by RPA robots in 2024, including automated analysis of wall cracks during drought episodes (10% needing no human intervention) and recognition of more than 15 document types. Implementation was supported by Microsoft partner Avanade.
Generali· FranceMicrosoft 365 Copilot · Copilot Studio · Azure OpenAI +1