Oasis Loss Modelling Framework
Oasis Loss Modelling Framework is cataloged under Catastrophe & Exposure on CoverHolder.io. CAT modeling, exposure management, geospatial, and accumulation tools. Practitioner diligence should stress evidence packs for internal audit and market conduct. Primary public information is published at oasislmf.org. CoverHolder does not endorse vendors; capability signals below are seeded for comparison workflows and require founder or licensed research before contractual reliance.
- CAT
- Exposure
- Geospatial
- Catastrophe & Exposure
- Claims ops
Exposure management and CAT modeling teams Teams often validate fit against a narrow LOB pilot before portfolio rollout. · Cloud geospatial and model services Cloud SaaS is typical; dedicated or private options vary by contract.
Founder-curated signals
- Geocode precision and topologyNative
- Model vendor neutralityUnsupported
- Portfolio accumulation and stressNative
- Climate scenario analyticsPartial
- Imagery and remote sensing AINative
- CAT bordereaux and reinsurance readinessNative
- Roll-up performance SLOsUnsupported
- Underwriting-grade exposure viewsNative
Buyer fit
Exposure management teams monitoring accumulation and catastrophe risk. When evaluating Oasis Loss Modelling Framework for catastrophe & exposure, map their proof points to your operating model, geography, and admitted versus non‑admitted posture. Procurement should map professional services caps and hypercare windows up front.
Validate model assumptions, geocoding precision, and scenario stress workflows. For Oasis Loss Modelling Framework: Geocode confidence, model version governance, and accumulation exports should align to underwriting and reinsurance assumptions.
| Feature | Support | Source note |
|---|---|---|
Geocode precision and topology Rooftop versus parcel precision, unit clustering, and PO box safeguards. | Native | Geocode precision and topology: positioned as native or first‑class on oasislmf.org. Market‑map placeholder only—treat support level as unverified until researched. |
Model vendor neutrality Support for multiple catastrophe model vendors without platform lock-in. | Unsupported | Model vendor neutrality: not positioned as core on oasislmf.org for typical P&C paths, or unknown—verify. Market‑map placeholder only—treat support level as unverified until researched. |
Portfolio accumulation and stress Roll-ups, clash assumptions, roll-forwards, and what-if stress tests. | Native | Portfolio accumulation and stress: positioned as native or first‑class on oasislmf.org. Market‑map placeholder only—treat support level as unverified until researched. |
Climate scenario analytics Climate projections with explicit uncertainty; avoid silent general ledger impacts. | Partial | Climate scenario analytics: often partial, partner‑mediated, or LOB‑specific—confirm on oasislmf.org. Market‑map placeholder only—treat support level as unverified until researched. |
Imagery and remote sensing AI Post-event imagery pipelines with uncertainty and human validation paths. | Native | Imagery and remote sensing AI: positioned as native or first‑class on oasislmf.org. Market‑map placeholder only—treat support level as unverified until researched. |
CAT bordereaux and reinsurance readiness Event bordereaux, loss clustering, and reinsurance attachment clarity. | Native | CAT bordereaux and reinsurance readiness: positioned as native or first‑class on oasislmf.org. Market‑map placeholder only—treat support level as unverified until researched. |
Roll-up performance SLOs Performance for national roll-ups and incremental updates after storms. | Unsupported | Roll-up performance SLOs: not positioned as core on oasislmf.org for typical P&C paths, or unknown—verify. Market‑map placeholder only—treat support level as unverified until researched. |
Underwriting-grade exposure views Underwriting-ready perspectives with hazard scores and confidence intervals. | Native | Underwriting-grade exposure views: positioned as native or first‑class on oasislmf.org. Market‑map placeholder only—treat support level as unverified until researched. |