Cytora Risk Processing Platform

Verification pending

by Chubb

Market unit: Switzerland

no ratings

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
Original source: https://www.linkedin.com/in/jdcastro

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