Explainability
Explainability
Digitize risks with transparent and explainable reasoning
The Cytora platform’s Chain of Thought reasoning makes risk digitization explainable and steerable. Mandatory source lists for every value mean extracted field values are always grounded in factual risk submission content. Voting based Confidence Scoring extracts every field value in 7 different ways, ensuring self-driven consistency and resulting in stable, repeatable outputs which unlock automation. Agentic multi-agent patterns go beyond simplistic prompt and completion paradigms, unlocking extraction from challenging scenarios. This includes large Excel files or PDF loss runs with claims that span page boundaries. Performance monitoring is automated and tracks accuracy, precision, recall, and F1 scores for continued autonomous training.
Consistency
Digitize with consistency
Cytora digitizes submission data to fulfil your target schema, launching multiple parallel agents operating at different temperatures to digitize the same field, ensuring that the same submission inputs always provide the same outputs, every time.
Confidence
Confidence Scoring
Confidence scores are generated for every schema field based on the degree of inter-agent agreement, ensuring consistent results and automatically triggering human review where necessary.
Explainability
Chain of Thought reasoning
Chain of Thought reasoning provides human readable explanations of why field values were chosen including the provenance of extracted field candidates
What our customers say
“
Cytora’s digital risk processing platform allows us to drive efficiency and effectiveness across our underwriting workflows, providing our brokers and customers better, faster service and enables us to have a more competitive, scalable and data-driven proposition for our commercial clients across the globe."
Chief Operating Officer
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