Groundspeed leverages AI, ML and NLP technologies on a “narrow basis” to extract data from loss runs, exposure schedules, emails and more automatically and accurately. The “narrow basis” means that Groundspeed uses various techniques per document type and data type to extract data reliably and accurately. Groundspeed maintains one of the largest commercial insurance training datasets and uses that data to develop and train its models.
We combine technology and people to deliver the best commercial insurance industry-focused solutions in the market. From our human-in-the-loop workflow to our underwriting success team, we believe that a client-centric partnership approach of ongoing support and transformations is key to our joint success. We have combined a team of data wrangling experts and underwriting alums to create a one-of-a-kind approach that leverages the full power of data in insurance workflows.
Groundspeed’s AI is incredibly precise and supported by one of the largest commercial insurance datasets. Additionally, Groundspeed uses a human-in-the-loop process to handle any data that needs validation, ensuring that the data Groundspeed returns is accurate, validated and ready for use.
In addition to data extraction, Groundspeed energizes data by fusing in third-party data (e.g., geocoding) as well as enhances the data with Groundspeed models. For example, if the line of business or line type is missing, Groundspeed can make predictions and populate those fields based on the other contents of a loss run. Groundspeed accelerates access to data and provides you with even more knowledge to reduce human intervention and mundane tasks.
