Ping provides AI‑powered exposure technology for commercial property insurers, automating the ingestion, cleansing, and geocoding of data from SOV, ACORD, loss runs, and email documents. Its platform delivers enriched, geospatially mapped information directly into underwriting and risk‑assessment workflows, improving speed, accuracy, and reliability. Tools like Ping.Extraction and Ping.Location enable insurers to transform raw submission data into actionable risk insights.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial property insurers rely on manual processing of submission documents such as SOVs, ACORD forms, loss runs, and email bodies, which is time‑consuming, error‑prone, and often lacks precise geolocation data needed for accurate risk assessment.
Solution
Ping delivers AI‑driven data superintelligence that automatically extracts, cleanses, validates, and geocodes information from unstructured insurance documents. The platform converts raw submission data into structured, enriched datasets that can be directly integrated into underwriting, risk‑analysis, and reporting workflows. By mapping extracted data to precise property locations, Ping provides a geospatial view of exposure, enabling faster, more accurate decision‑making. The solution includes modular tools for data extraction, single‑building location lookup, and interactive mapping visualizations, all designed to fit seamlessly into existing insurance systems.
Target Audience
Primary customers are commercial property insurers, brokers, MGAs, and reinsurers that need to streamline submission processing and enhance exposure intelligence.
Features
- Ping.Extraction uses machine‑learning models to read and enrich data from SOVs, ACORD forms, loss runs, and email bodies, then validates and geocodes the information
- Ping.Location performs on‑demand single‑building lookups, delivering detailed exposure attributes and risk factors for any property
- Ping.Maps visualizes extracted and geocoded data on interactive maps, highlighting ambiguous geocoding and supporting custom risk filters
- Ping.Data aggregates external property‑relevant sources (tax records, satellite imagery, building valuations) for comprehensive underwriting inputs
- Ping.CAT automates generation of CAT modeling files and triggers cloud‑based catastrophe simulations without manual intervention
- API and integration hooks allow direct embedding of enriched data into underwriting dashboards, broker portals, and carrier systems