Automate the intake of submission documents and rest assured that you can always find missing information instantaneously.
Process submission PDFs, scans, and other forms of unstructured data using machine-learning models pretrained on thousands of ACORD applications, loss runs, and other insurance documents.
Analyze inputs in near real time to find missing information and resolve quality issues.
Increase underwriting productivity by reducing the amount of search time and analysis you have to do for new businesses.
Inform your process with more than four billion data points across all 50 states.
Convr maintains a data lake of information on businesses drawn from government entities, public records, company websites, and other sources.
Automatically answer underwriting questions using machine learning and gain a better understanding of how risky a given business is.
Our specialized models are trained to think like underwriters so that you can spend your time increasing profitability and growing customer relationships.
Discover and surface important insights based on submission and/or third-party data.
Optimize the selection and prioritization of risks for evaluation.
Increase underwriting efficiency by reducing the time you have to spend going through businesses that will not be quoted.
Ensure quoted business is within your risk appetite by leveraging a model uniquely customized to your book.
Convr’s solutions can be used by any entity with P&C commercial underwriting authority in the U.S.
Should the insurance industry evolve over time or revolutionize its processes for instant changes? While recent studies have shown that carriers are implementing technologies faster to match the demand of the market,...
