PING
Global Exposure Technology
for the (re)insurance industry, powered by AI.
We power property (re)insurance by seamlessly delivering relevant data directly into our clients workflows.
Scroll down to learn how
Ping Data Intelligence
is changing the commercial property domain
Structured data FOR the largest wholesalers, retailers, MGAs and insurers…
Tens of thousands of SOVs…
Million of Locations…
Delivered in minutes…
…Powered by Ping.
Ping is revolutionizing commercial property data, providing exposure intelligence for property risks across Property, Terrorism, Realty and Builders' Risk business lines.
Ping's Global Exposure Technology combines decades of industry knowledge, clever use of machine learning, and a track record of delivering well-engineered software that fits our clients' workflows.
- MEND, HIGHLIGHT, AND ENRICH INCOMPLETE DATA
- DESIGN BESPOKE SUBMISSIONS AND RISK REPORTS
- PRODUCE WELL-ORGANIZED SOVS FOR PRESENTATION OR UNDERWRITING
- EXPLORE DATA THROUGH INTERACTIVE MAPS
- GENERATE AIR AND RMS CATASTROPHE MODELING FILES OR MODEL VIA API
- INTEGRATE TO EXISTING UNDERWRITING SYSTEMS
Globally, exposure data preparation from unstructured data costs the industry billions of dollars annually. The cost of lost time to market or quote, inaccurate or missing exposure data, attrition of talent, is far more.
Ping fits into your existing workflow with a simple email or API call, converting your SOVs and ACORD apps within minutes into a structured Snowflake database preserving full data provenance and metadata.
With every data element processed, and your data organized and stored in a data warehouse, numerous capabilities are instantly unlocked:
- Automated professional property submissions,
- Direct API integration to both AIR and RMS
- Auto-population of in-house underwriting frameworks
- Advanced geospatial analysis for improved diversification.
Ping is integrated with Moody's RMS and Verisk to directly run cat models from the scrubbed SOV, and with third-party data partners to augment exposure, hazard and valuation data.