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What is ClaimVision?

ClaimVision is AI claims intelligence for US property insurers. It reads the whole claim file and policy and cites every finding to clause and page. Before an adjuster opens a file, ClaimVision has read every page of it: the adjuster and inspection reports, the estimate down to its last line, the policy and every endorsement, the correspondence, and the photos. It checks coverage on every claim and ties each finding to the clause and page it came from, with its dollar impact. It flags missing items and subrogation opportunities, and keeps figures consistent from the estimate to the decision letter. Claims teams can question any claim in plain English, including documents that haven't been processed yet, and every answer points to its source. ClaimVision is an intelligence layer, not a replacement claims system. It works alongside Guidewire ClaimCenter, Duck Creek, Sapiens or an in-house core system, which stays the system of record. Every recommendation and every human override is kept in an append-only audit trail. The reading goes to the machine. The judgement stays with your people. On a real large-loss claim, ClaimVision did a full day's reconciliation work, exactly, in under a minute. ClaimVision runs on Microsoft Azure. It is built to SOC 2 principles and is working towards SOC 2 Type 2. ClaimVision is a product of Decision Agency.

What is ClaimSpark?

ClaimSpark is an AI-driven estimating and claims support platform designed to help roofing contractors create professional insurance estimates with ease. The software converts roof measurement reports, photos, and insurance documents into detailed line-item estimates within minutes. By automatically analyzing uploaded files, ClaimSpark identifies missing work items, outdated pricing codes, and underbilled sections of a claim. This helps contractors recover additional revenue that might otherwise be missed during the insurance adjustment process. The platform flags potential supplements and organizes them into structured, insurance-ready documentation. Each line item can be linked directly to supporting evidence such as photos, measurements, and job site documentation. Contractors can also add notes about additional work performed, and the AI converts these descriptions into proper pricing codes. ClaimSpark produces professional reports formatted specifically for insurance adjusters, increasing the likelihood of approval. The system works with common roof measurement reports from providers such as EagleView and Hover. Contractors can upload multiple project documents and generate a complete estimate in about 15 minutes. The platform eliminates the need for costly supplement consultants or complicated estimating software. Instead, roofers can manage claims and supplements directly within one simple tool. By helping contractors identify overlooked items and produce well-structured reports, ClaimSpark improves claim accuracy and profitability. Overall, it streamlines the insurance estimation workflow while allowing roofing companies to keep 100% of the additional value found in claims.

Media

Media

No images available

Integrations Supported

Duck Creek Claims
Guidewire ClaimCenter
Sapiens ClaimsPro

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing is based on claim volume and scope, with terms determined for each pilot.

Pricing Information

$200/job
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Decision Agency OÜ

Date Founded

2025

Company Location

Estonia

Company Website

claimvision.ai

Company Facts

Organization Name

ClaimSpark

Date Founded

2025

Company Location

United States

Company Website

claimspark.com

Categories and Features

Insurance Claims Management

Document management
Reporting

Categories and Features

Roofing

Not specified

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