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Cytora Risk Processing Platform

Verification pending

by Chubb

Market unit: Switzerland

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Cytora's platform integrates real-time, first-mile commodity intelligence to enhance commercial insurance workflows. By partnering with Treefera, Cytora incorporates granular data on nature-based assets, improving risk pricing and underwriting precision. This integration allows insurers to access detailed insights into environmental and climate factors, enabling more accurate risk assessment and decision-making.

Generative AIProperty insurance
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AI capability and maturity

AI capability level

UnderstandGenerateReasonDecideActCollaborate

Capability Maturity Score (CMS)

4 / 6

Business Adoption Score (BAS)

4 / 6

AI Development Index (ADI)

16 / 36

See more information and theoretical background

Business context

Purpose of use

Improving risk pricing and underwriting precision. This integration allows insurers to access detailed insights into environmental and climate factors, enabling more accurate risk assessment and decision-making.

Value chain steps
Underwriting and risk assessmentRisk bearing and capital management
Insurance branches
Property insurance
Application scope
Internal only
Business criticality
Business critical
Country or market unit
Switzerland

Value and impact

Added value category
Risk reductionEfficiency gainQuality improvement

Technical details

AI category
Generative AI
AI model name

PaLM 2

AI platform provider
Google Cloud Vertex AI
Cloud provider
Google Cloud Platform
Technology stack
Vertex AIBigQuery
Architectural insights

Cytora's architecture consists of a risk flow engine, processing components, an underwriter console, and a human-in-the-loop console. The risk flow engine is a low-code platform for defining and executing multi-step, human-in-the-loop risk processing workflows. BigQuery provides real-time business analytics and risk flow analytics.

Compliance and governance

EU AI Act risk category
Minimal risk
EU AI Act role
Deployer
Relevant policies
EU Artificial Intelligence ActSwiss Federal Act on Data ProtectionFINMA guidelines
Data used

Granular data on nature-based assets, environmental and climate factors.

Metadata

Development type
Scaled application
License model
Software as a service

Community

Average rating

0.0 · no ratings

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