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Pibit.AI

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Pibit.AI underwriting platform for carriers and MGAs with CURE—turning submissions into decisions through intake, document automation, research, risk analysis, and workflow orchestration.

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Overview

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.

Core capabilities

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.

Record creation in underwriting systems

Create and update submission records in PAS, workbenches, and raters with de-duplicated data that is aligned to internal schemas.

Document extraction and normalization

Convert unstructured documents into underwriting-ready data and structured outputs such as summaries or Excel raters.

External research enrichment

Enrich submissions with external account data from sources such as government records, social media, news channels, and other public datasets.

Risk summarization and scoring

Score accounts with positive and negative signals, summarize risk exposure, and surface inconsistencies across sources for underwriting review.

Workflow orchestration

Coordinate triage, prioritization, and a unified underwriting console across the submission-to-quote lifecycle.

Common use cases

  • Submission intake and triage

    Use ClearCURE to decide whether incoming submissions are complete and within appetite before they reach underwriters, reducing time spent on incomplete files.

  • Document-to-data automation

    Use DocumentCURE to process loss runs, MVRs, SOVs, ACORDs, financials, policies, and other file types into structured underwriting data.

  • External account research

    Use ResearchCURE to enrich account files with external information and classify businesses using NAICS and SIC codes when prioritizing opportunities.

  • Risk review and decision support

    Use RiskCURE to summarize account-level risk signals, detect inconsistencies across sources, and support bind decisions with clearer underwriting context.

  • End-to-end underwriting workflow

    Use WorkflowCURE to manage triage, prioritization, and portfolio-level reporting across the submission-to-quote lifecycle.

Pros and Cons

Pros

  • Covers the submission-to-quote workflow rather than a single point solution.
  • Handles both structured intake and unstructured document processing.
  • Supports external enrichment and risk summarization for underwriting review.
  • Provides workflow coordination across multiple CURE modules.
  • Publishes specific security controls, including SOC 2 and ISO 27001 infrastructure, AES 256 at rest, TLS 1.2 in transit, and 90-day log retention.

Cons

  • The website does not publish pricing; the pricing URL currently returns a not-found page.
  • Integration details are limited to mentions of PAS, workbenches, raters, email, APIs, UI, SharePoint, SFTP, and drives, without a full supported-systems list.

FAQ

What does Pibit.AI do?

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.

What is ClearCURE used for?

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.

What kinds of documents can DocumentCURE handle?

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.

Is pricing published on the website?

The source says the pricing page currently returns a not-found page, so there is no published pricing information available on the site.

Who is Pibit.AI designed for?

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.

Quick Facts

Category
Underwriting platform
Primary users
Carriers and MGAs
Platform
CURE, a Centralized Underwriting Risk Environment
Source domain
pibit.ai
Notable workflow
Submission intake, document automation, research, risk scoring, and workflow orchestration
Pricing
No public pricing page is available