AssetArchive Description

These are the concerns that Asset Based Lending has had for years. Our customers have been asking us for a way to archive AssetReader data to extract simple trends and comparative Borrowing Bases. They also want to pull more focused confirmations (an optional option). The owners and programmers wanted AI (artificial intelligence) to be applied to the data. Of course, they also wanted to invent new stuff to take advantage. The FinSoft team has over 33 years of ABL expertise, including audit, operations fraud investigations, highly respected ABL training classes, and a desire for inventing another product. This AI is what the ABL industry needs for years.

Integrations

No Integrations at this time

Reviews

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Company Details

Company:
FinSoft
Website:
www.finsoft.net

Media

AssetArchive Screenshot 1
Recommended Products
The Fastest Analytics Database for Observability, ML, and GenAI | ClickHouse Icon
The Fastest Analytics Database for Observability, ML, and GenAI | ClickHouse

Unlock faster queries without skyrocketing costs.

ClickHouse powers businesses with the fastest open-source OLAP database, built for rapid analytics, observability, and business intelligence. Deploy on AWS, GCP, or your own VPC with BYOC, and query billions of rows in seconds – all cost-efficiently. Trusted by Sony, Lyft, and Cisco, it delivers unmatched speed, seamless stack integration, and enterprise-grade performance. Turn massive datasets into decisions with ClickHouse.
Start free trial

Product Details

Platforms
Windows
Type of Training
Documentation
Customer Support
Phone Support
Online

AssetArchive Features and Options

Fraud Detection Software

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

AssetArchive User Reviews

Write a Review
  • Previous
  • Next