The insurance industry relies heavily on complex document analysis, risk assessment, and regulatory compliance. For global reinsurers, processing unstructured data from various sources into structured underwriting models has traditionally been a labor-intensive bottleneck.
The Challenge of Unstructured Data
Business Challenge Companies need powerful retrieval-augmented generation but cannot risk data leakage to public cloud providers or third-party LLMs
How Agentic AI Helps A fully sovereign RAG architecture runs entirely on Exoscale SKS, combining private vector stores, encrypted embeddings, and agentic query routing.
Detailed Automated Business Process The system ingests internal documents into a secure vector database, routes queries through specialised agents for retrieval and synthesis, and returns answers with full provenance and audit logs.
Potential Business Impact Organisations gain enterprise-grade knowledge access with zero data residency risk, dramatically faster knowledge retrieval, and complete compliance with DSG/GDPR and EU AI Act.
Call to Action Learn Discover how a sovereign RAG system on Exoscale SKS can power your agentic applications securely. Book a live demonstration.
"Singularity IO didn't just give us an LLM; they provided a secure, sovereign orchestration layer that allowed our internal systems to talk to each other autonomously. It fundamentally changed our operational velocity."
Agentic Workflows in Action
By deploying a multi-agent system, the client was able to automate the entire ingestion pipeline. The workflow operates as follows:
- Intake Agent:Monitors secure inboxes and classifies incoming submission documents.
- Extraction Agent:Utilizes fine-tuned vision models to extract tabular data from complex policy schedules.
- Validation Agent:Cross-references extracted entities against internal databases and flags anomalies for human review.
