Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
The rise in total loss claims has reached a concerning 20 percent of all collision and liability losses within the auto insurance sector. Unfortunately, many insurance providers still struggle with disjointed total loss operations, which can result in higher expenses, unhappy customers, and limited oversight. Introducing Total Loss Pro™ from Vemark: this innovative solution is designed to turn the cumbersome total loss claims process into a streamlined and efficient system that can adapt to rapid industry changes. With this tool, you can ensure quicker settlements that enhance policyholder satisfaction. Additionally, it boosts employee morale by minimizing frustration associated with cumbersome processes. This platform also offers improved visibility and transparency, enabling data-driven decision-making. Given the complexities involved in total loss auto claims compared to standard repair claims, Total Loss Pro serves as a cloud-based solution that optimizes every stage of the intricate salvage vehicle workflow, ultimately benefiting both insurers and their clients. Moreover, by implementing this comprehensive tool, carriers can foster a more proactive approach to managing claims, ensuring a smoother experience for all parties involved.
API Access
Has API
Yes
API Access
Has API
No
Integrations
HubSpot CRM
No
Pricing Details
Price on request
Pricing is scoped to claim volume and workflows deployed. Get in touch for a quote.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
MarvelX.ai
Founded
2025
Country
Netherlands
Website
www.marvelx.ai
Vendor Details
Company Name
Vemark
Country
United States
Website
vemark.com/totallosspro/
Product Features
Claims Processing
Adjustor Management
No
Case Management
Yes
Claim Resolution Tracking
Yes
Co-Pay & Deductible Tracking
No
Compliance Management
Yes
Customer Management
No
Electronic Claims
Yes
Forms Management
Yes
Paper-Based Claims
No
Payor Management
No
Policy Administration
No
Product Features
Claims Processing
Adjustor Management
No
Case Management
No
Claim Resolution Tracking
No
Co-Pay & Deductible Tracking
No
Compliance Management
No
Customer Management
Yes
Electronic Claims
No
Forms Management
No
Paper-Based Claims
No
Payor Management
No
Policy Administration
No