Submission completeness and appetite checks
Define what a complete, in-appetite submission means for each line or program, then automatically apply those checks to incoming files so underwriters see qualified work.
Pibit.AI underwriting platform for carriers and MGAs with CURE—turning submissions into decisions through intake, document automation, research, risk analysis, and workflow orchestration.
Pibit.AI is an underwriting platform for carriers and MGAs built around CURE, its Centralized Underwriting Risk Environment. The site describes CURE as a unified system that turns submissions into decisions by combining document processing, research, risk analysis, and workflow orchestration.
The platform is organized into modules including ClearCURE, DocumentCURE, ResearchCURE, RiskCURE, and WorkflowCURE. Across those modules, Pibit.AI focuses on submission intake, document automation, external enrichment, underwriting guidance, and end-to-end workflow management.
Define what a complete, in-appetite submission means for each line or program, then automatically apply those checks to incoming files so underwriters see qualified work.
Create and update submission records in PAS, workbenches, and raters with de-duplicated data that is aligned to internal schemas.
Convert unstructured documents into underwriting-ready data and structured outputs such as summaries or Excel raters.
Enrich submissions with external account data from sources such as government records, social media, news channels, and other public datasets.
Score accounts with positive and negative signals, summarize risk exposure, and surface inconsistencies across sources for underwriting review.
Coordinate triage, prioritization, and a unified underwriting console across the submission-to-quote lifecycle.
Use ClearCURE to decide whether incoming submissions are complete and within appetite before they reach underwriters, reducing time spent on incomplete files.
Use DocumentCURE to process loss runs, MVRs, SOVs, ACORDs, financials, policies, and other file types into structured underwriting data.
Use ResearchCURE to enrich account files with external information and classify businesses using NAICS and SIC codes when prioritizing opportunities.
Use RiskCURE to summarize account-level risk signals, detect inconsistencies across sources, and support bind decisions with clearer underwriting context.
Use WorkflowCURE to manage triage, prioritization, and portfolio-level reporting across the submission-to-quote lifecycle.
Pibit.AI positions CURE as an underwriting platform for carriers and MGAs that turns submissions into decisions. The site highlights modules for intake, document automation, research, risk scoring, and workflow orchestration.
ClearCURE is focused on submission intake and clearance. It checks whether submissions are complete and in appetite, deduplicates records, and creates or updates submission records in PAS, workbenches, and raters.
DocumentCURE processes submission documents such as loss runs, supplements, MVRs, SOVs, financials, ACORDs, and policies. It can ingest files from email, APIs, UI, SharePoint, SFTP, and drives, then convert them into underwriting-ready data or Excel raters.
The source says the pricing page currently returns a not-found page, so there is no published pricing information available on the site.
The website emphasizes carriers, MGAs, MGA aggregators, and mutuals as solution audiences, with workflows built around submission intake, document processing, risk analysis, and underwriting orchestration.