Exposure Schedule Analysis
Smarter, faster triage and rating decisions
The Groundspeed Exposure Schedule Analysis product makes triage and rating significantly faster and easier.
Complete risk assessment demands intense focus and time-consuming schedule data analysis. Yet while underwriters toil over statistics, new business opportunities pile up and grow cold.
Our AI extracts and normalizes the data you need from exposure schedules. It also enriches the data with third-party information for a truly comprehensive look at any potential risks associated with new business.
The end result: faster, more profitable underwriting.
Powered by proprietary data
Data points captured
The largest contributed dataset in the industry
Exposure value processed
Across millions of schedules and applications
Commercial claims data
Deep expertise in commercial lines
We support a broad range of source documents
Schedule types currently supported
How it works
- 1. document ingestion
- 2. AI Data Labeling
- 3. Automated QA
- 4. Human Review
- 5. Enrichments
- 6. Fast Delivery
Insurance carriers submit documents to our system via API, SFTP, or email. Simple.
AI Data Labeling
Liberate underwriters from labeling. Our AI classifies, annotates, cleans, and structures data from those submission documents.
We run the captured data through a series of automated data quality and consistency checks.
Our AI flags lower-confidence data and loops in a human to confirm accuracy. This process lets us take on more complex data sources than AI-only platforms and helps us continuously improve our technology.
We normalize the data and add insight. We fuse enrichments from our machine-learning models and from relevant third-party sources for the line of business into the data set.
Our technology delivers back accurate, normalized, and enriched data, typically in under two hours, via API, SFTP, or email. Making underwriting decisions quicker, easier, and more profitable.
Automation leads to revolutionary results
Win more business with faster time-to-quote
Scale your process and improve underwriter focus
Increase efficiency by automating data extraction