Submissions Validation
Automatically verify and evaluate information provided by an applicant or agent to ensure data accuracy.
Best and fastest quotes
Reduce loss ratios
Reduce expense ratios
How does Planck’s submission validation process work?
When the carrier receives a submission, the Planck platform generates a real-time risk profile based on an automated search and analysis of the submitting organization to validate the declared information. The review highlights any inaccuracies so the underwriter can focus on assessing risk rather than manually hunting for data online.
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What will change with Planck?
Underwriters no longer need to spend time searching for pieces of information and verifying submitted data. As a single source of truth, Planck provides underwriters with a complete and organized profile of a business’s services, physical locations, surroundings, and other associated risks.
- 0.5%
- 1–3%
- 10-20% Improvement
Days
Minutes
- Increase by +15%
“Quality data is the key for all of it. Planck’s data met our high standards, so we can run a proof of concept and assess the positive impact of better data in real time.”
SVP of Underwriting at a top US carrier
Frequently asked questions
Can Planck configure insights to meet my specific needs?
Planck offers hundreds of data insights off-the-shelf. These insights can be configured to match your business’s specific needs. Beyond these ready-made insights, the Planck platform can be configured to return specific insights related to your business needs.
What does Planck’s coverage rate look like?
Planck offers the highest hit rate in the industry, finding more information and insights for most small and medium businesses in a given segment.
What is the completion rate for the validation of a submission form, on average?
Planck is usually able to locate or generate accurate responses for 90-95% of questions in application forms.
How does Planck ensure its data is of high quality?
Planck’s Cognitive Data Analytics Platform collects information from an incredible number of sources. Using sophisticated algorithms and models, it scans each individual piece of data to locate additional risks and generate insights to determine the most accurate answers. The algorithm continuously tests itself against validate data sets and adapts to ensure the highest accuracy levels.