Commercial Auto 360° Risk Profile
Providing a 360° view of commercial fleet risk profiles
The Groundspeed Commercial Auto 360° Risk Profile transforms data and allows underwriters to make accurate decisions in hours, not weeks.
Commercial auto insurance is at an inflection point. Steep rises in loss trends are outstripping premium growth. To compete and thrive, your underwriters need access to comprehensive submission data, and they need it fast.
Commercial Auto 360° Risk Profile extracts information from auto loss runs, applications, questionnaires, fleet schedules, garage locations, driver lists, and more.
Driving faster, more accurate, and more profitable underwriting.
Why commercial auto carriers choose Groundspeed
Groundspeed provides the most comprehensive commercial auto data package in the industry.
Our data package includes over 300 data points from loss runs, ACORD applications, vehicle schedules, driver lists, and more. We normalize and validate this data to industry or customer standards.
We put that data to use for you. We enrich your submissions data with predictions and analytics. Our analytics are designed to help your underwriters write accurate premiums and optimize their long-term portfolio.
We make our data smarter. We use third-party data to further enrich and validate results upon request. These include location address corrections, geocoding, VIN checking, vehicle information, and NAICS/SIC and DUNS information.
We extract, enrich, and deliver over 300 data points
We support documents derived from:
Drivers lists (Lexis and Verisk formats available)
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.
Transforming data for an underwriting revolution
Groundspeed arms underwriters with structured, near-perfect risk data. So they can see the complete risk picture and use their expertise to make smarter, faster decisions.
- Setup & Clearance
- Smart Triage
- Risk RATING
- Automated Fill
- Extract Complete Submissions
Setup and Clearance
Prepare submissions with speed and accuracy
Our technology automatically extracts the key data fields you need to clear and set up new accounts. Eliminating a painstaking manual grind and saving you time and money.
Quickly find the submissions that match your risk appetite
Our data pipeline recognizes the right data fields to match risk characteristics against your risk appetite. So you can vet every submission against your preferred success metrics and alert your underwriters to prioritize the best matches.
Accurate rating information
We provide detailed rating information from quoted and unquoted submissions. And unquoted submissions can be analyzed and fed back into the underwriting process to make future decision-making even sharper.
A complete data set
Our technology automatically extracts the data from all submission documents and fuses it with third-party data. This fusion creates a complete risk picture–a distinct advantage over most carriers with a manual process.
Extract Complete Submissions
Our platform is designed to extract and enhance mass volumes of data from all submission documents. Everything you need to evaluate the inbound submissions with data-driven confidence is typically delivered within two hours.