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Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

Founded in 2000, DataGenix is dedicated to delivering innovative claims processing solutions to third-party administrators, adjusters, and insurance firms. Recognizing the complexities that can arise in claims processing and health benefits management, our team has developed the sophisticated ClaimScape software designed to streamline the entire adjudication process, ensuring your business remains unaffected by potential losses. Our mission is to tackle the challenges that prevent an exceptional customer experience for your clientele. By aligning our offerings with current trends and demands, we are committed to facilitating your organization's growth through our software solutions. Trusted by leading TPAs nationwide, we are eager to expand our services to a broader audience. As we continue to evolve, we aim to set new standards in the industry.

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

DataGenix

Founded

2003

Country

United States

Website

datagenix.com

Vendor Details

Company Name

MarvelX.ai

Founded

2025

Country

Netherlands

Website

www.marvelx.ai

Product Features

Benefits Administration

COBRA Administration
Claims Management
Deduction Management
Disability Insurance Administration
Employee Benefits Administration
FMLA Administration
FSA Administration
Flexible Spending Accounts
For Brokers
For Employers
HIPAA Compliant
Health Insurance Administration
Life Insurance Administration
Online Benefits Enrollment
Premium Billing
Provider Management
Retiree Administration
Retirement Plan Management

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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