Brickroad
Brickroad
IndexSignalsBlog
/Index//

Product

  • Information Frontier Agent
  • Vendor Management Agent
  • Product Tour
  • Pricing

Solutions

  • All Solutions
  • Atlas
  • Wayfinder
  • Horizon

Suppliers

  • Sell Your Data
  • Start Onboarding
  • Programmatic Data License

Community

  • Public Index
  • Signals
  • Blog

Company

  • About
  • Team
  • Careers
  • Brand

Connect

  • LinkedIn
  • X
PrivacyTermsCookies

© 2026 Brickroad

/Index/BirdsEyeView/CERA probabilistic natural-hazard model suite
B

CERA probabilistic natural-hazard model suite

BIRDSEYEVIEWManage supplier listing

CERA probabilistic natural-hazard model suite: physics-based, climate-adjusted hazard models for flood, wildfire, tropical cyclone, severe convective storm, hail, earthquake, lightning and secondary climate perils (rain, snow, wind, temperature), delivered as return-period and probability outputs at up to 10,000 locations per run with adjustable severity thresholds such as Cat 3 to Cat 5 tropical cyclone. The platform ingests client portfolio uploads, geocoded coordinates, third-party hazard datasets, climate feeds and real-time monitoring data, then returns per-location hazard scores into pricing workbenches and internal client models. Two latent assets sit behind the licensed software. First, a growing library of client-supplied geocoded exposure portfolios processed through the engine - the accumulated scrubbed exposure data is a property-level national and cross-border exposure corpus the company did not originate but has normalised and validated. Second, a validation set: because the platform runs live monitoring and alerting against actual events, it accumulates predicted-versus-realised hazard outcomes across many client portfolios, which is exactly the ground-truth pair commercial cat-model buyers cannot assemble themselves.

Open buyer room →
BirdsEyeView/CERA probabilistic natural-hazard model suite
SampleCoverage

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks BirdsEyeView and files the sample in your catalog — private to you.

Start 7-day trial→Nothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry
Property & Casualty InsuranceFinancial Exchanges & Data
Instruments
derivativesfixed_incomeequities
Categories
GeospatialAlternativeESGReference
Regions
UKUSEurope
Sample tickers
MUNVYALIVYHRUAFAXAFYSIGIRNRACGLHGTYKINHCI
Dataset card
Type
not stated
Format
Tabular and API - per-location probabilistic hazard scores returned through API into pricing workbenches and client models, portfolio ingestion by upload and geocoded file, plus live monitoring and alerting feeds
Volume
Hazard grid: roughly 10-plus perils x multiple return periods and probability bands x global location coverage, refreshed with climate-adjusted scenarios - on the order of tens of billions of per-location hazard values if gridded globally, or bounded by run size at 10,000 locations per client execution. The latent exposure corpus is the interesting count: every client portfolio uploaded and scrubbed adds property-level records, so with 20-plus visible enterprise accounts including major global reinsurers and specialty markets, the accumulated normalised exposure could plausibly reach tens of millions of validated property records
Users
N/A in a consumer sense - a B2B SaaS platform sold to underwriting and catastrophe teams; user seats are plausibly in the hundreds across named enterprise accounts, but no seat count is published
History
6 years
Update frequency
not stated
Growth
Active and scaling - recent product updates and funding news centred on AI data scrubbing for exposure data, a customer roster that has grown to include major global reinsurers, brokers and specialty markets, and a cloud-native site with recently refreshed solution and technology pages

BirdsEyeView has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling
Launched
Est. 2019-2020 - the company's organisation record appears in 2020 and it is a venture-funded London insurtech with USD 3.0M raised and about USD 2.5M revenue at 16 employees, consistent with a founding in that window rather than earlier
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site