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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The flagship claims processing solution from Acrometis provides exceptional workflow management by utilizing a configurable rules engine to automatically route documents. This system is built around various elements such as claim assessment scoring, matching body parts to claim compensability, adhering to jurisdictional directives, and scoring relatedness, all aimed at minimizing both the duration and costs associated with claims. Notably, CLAIMExpert can autonomously process 65 percent of incoming medical bills and non-medical documents without requiring any user intervention. Documents that need adjuster review are efficiently flagged and organized to facilitate straightforward decision-making, ensuring that the process remains streamlined. With no need for adjuster involvement for the initial processing, clients often experience an improvement ranging from 11 to 23 points in medical loss within the first year. Furthermore, CLAIMExpert is equipped with rules addressing over 190 different document types, enabling it to swiftly manage whitemail and any other documentation that may arrive at an adjuster’s desk. This comprehensive approach not only enhances efficiency but also significantly impacts the overall claims handling process.

Description

MarvelX is an agentic AI company for financial services and other highly regulated industries, with insurance as its flagship vertical. Its AI claims agents are built for autonomous claims processing: a claim comes in as a first notice of loss (FNOL), the policy is validated, the claim is adjudicated, and settlement follows, bringing handling time down from days to under an hour. Claims teams at P&C, motor, travel, health, life, and embedded insurers, as well as MGAs and TPAs, use MarvelX to confirm policy details, verify that a claim file is complete, and hand edge cases to a human reviewer. A person stays in the loop on every decision, and each outcome is documented for audit. A standalone workflow, AI document data extraction for insurance, serves teams that want structured fields out of insurance documents, traceable to a source reference, with no decisioning attached. The same architecture is being applied to other regulated work, KYC/KYB verification for notarial services among them. Integrations cover HubSpot and the Dutch registries KVK, RDW, and SchadeGarant, so MarvelX fits the systems a claims operation already runs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

HubSpot CRM

Integrations

HubSpot CRM

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Price on request
Pricing is scoped to claim volume and workflows deployed. Get in touch for a quote.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Acrometis

Founded

2002

Country

United States

Website

www.acrometis.com/our-solutions/claimexpert-and-associated-services/

Vendor Details

Company Name

MarvelX.ai

Founded

2025

Country

Netherlands

Website

www.marvelx.ai

Product Features

Claims Processing

Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration

Product Features

Claims Processing

Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration

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