Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Clean Claims is an innovative software solution focused on field documentation and remote monitoring, aimed at optimizing restoration workflows while guaranteeing complete accuracy in job records. By minimizing the potential for human error, it ultimately helps businesses conserve both time and financial resources. The software integrates remote sensors that deliver real-time data around the clock, eliminating the necessity for physical inspections to verify temperature and humidity levels. Its process enforcement capabilities lead technicians through a structured documentation process, ensuring that tasks are executed in the correct sequence and adherence to compliance standards is maintained. With centralized management of field services, tracking the progress of various projects and their phases becomes effortless. Insurance adjusters frequently rely on Clean Claims, which accelerates the approval process for claims. Additionally, the platform's intuitive interface allows technicians to become proficient in using the software in under a week, significantly cutting down on training periods. Every operation performed on a job is logged with a timestamp and linked to an individual user, which bolsters accountability across the board. Furthermore, thorough documentation provides immediate evidence that can facilitate faster payment processing, enhancing financial operations for businesses. This seamless integration of technology into restoration processes not only improves efficiency but also fosters trust among stakeholders involved.
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
Pricing Details
$0.80 per month
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
Clean Claims
Country
United States
Website
www.cleanclaims.com
Vendor Details
Company Name
MarvelX.ai
Founded
2025
Country
Netherlands
Website
www.marvelx.ai
Product Features
Restoration Management
Bid Management
CRM
Document Management
Fire Restoration
Job Tracking
Mold Remediation
Project Management
Scheduling
Task Management
Water Restoration
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