Efficiency meets data sovereignty: Lector automates document processing with AI
lector.ai GmbH
Lector, a platform for intelligent document processing used by more than 60 corporate customers including over 25 health insurers, migrated its productive cloud services from a major American cloud provider to OVHcloud's German data centre to meet GDPR and data-sovereignty requirements. Using OVHcloud Managed Kubernetes, S3-compatible Object Storage, and AI Training/AI Deploy/AI Endpoint services, Lector achieved over 80% time savings in document processing across more than 500 million pages processed to date, while reducing the operational burden of running Kafka and MongoDB themselves.
Overview
Lector, a platform for intelligent document processing used by more than 60 corporate customers including over 25 health insurers, migrated its productive cloud services from a major American cloud provider to OVHcloud's German data centre to meet GDPR and data-sovereignty requirements. Using OVHcloud Managed Kubernetes, S3-compatible Object Storage, and AI Training/AI Deploy/AI Endpoint services, Lector achieved over 80% time savings in document processing across more than 500 million pages processed to date, while reducing the operational burden of running Kafka and MongoDB themselves.
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Inspect the highlighted sourceThe challenge
Until migrating to OVHcloud, Lector operated its productive cloud services with a major American cloud provider, relying on Kubernetes and virtual machines. Three key issues hindered further scaling: managed open-source services such as MongoDB and Kafka could not be integrated, traffic costs were high, and many customers had trust issues because the original provider was not based in Europe, while compliance with GDPR and data-sovereignty criteria is essential for German health insurance companies, public authorities and many private companies.
The solution
Lector worked with OVHcloud to implement managed Kubernetes clusters and S3-compatible Object Storage, allowing all documents to be stored without scaling limitations. Lector uses various OVHcloud AI services for document processing and editing, including AI Training, AI Deploy and AI Endpoint. The system is operated in OVHcloud's German data centre, with native support for Prometheus for centralized monitoring of all relevant metrics.
Reported business value
Lector serves more than 60 active corporate customers, including over 25 health insurance companies, and has processed over 500 million pages on the platform, achieving time savings of over 80%. By using OVHcloud's managed services, the team spends significantly less time operating and scaling Kafka and MongoDB and can focus on developing the platform and application.
Sources
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