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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Lengthy document examinations can impede the efficiency of account initiation and underwriting procedures, but relying solely on automation is not a viable solution. We assert that implementing automation without incorporating fraud detection measures can lead to dangerous oversights, which is why Inscribe offers a comprehensive Risk Intelligence solution that not only identifies fraudulent activities but also streamlines processes and evaluates creditworthiness, enabling quicker customer approvals. Depending on mere assumptions to spot altered documents can leave your organization vulnerable to fraud and financial losses. You may find yourself inundated with document assessments, hindering your ability to scale your business while minimizing risk. Our mission has always centered on this challenge, and over the years, we have honed our machine learning algorithms, ensuring they continuously adapt and improve. Thanks to our pioneering efforts, you can trust that our models will consistently deliver the highest level of reliability and effectiveness in the industry, setting a benchmark for others to follow. By choosing Inscribe, you are not just investing in a product; you are securing a partnership that prioritizes your success and safety in a fast-evolving financial landscape.

Description

TrackLight is an innovative platform that utilizes artificial intelligence to effectively detect and prevent fraudulent activities, aiming to thwart costly decisions before they can occur. By harnessing a comprehensive database of over 3,000 distinct fraud schemes along with more than 1 billion open-source intelligence records, it integrates smoothly into existing workflows for enhanced efficacy. The platform also features an intelligent co-pilot named Ray, which offers concise executive summaries of findings and actionable recommendations, ensuring that decisions are both accurate and fair. Additionally, TrackLight boasts a range of tools designed for due diligence, fraud analytics, social network analysis, and case management, all of which work to protect businesses by recognizing patterns within extensive data sets and automating various processes. This platform not only streamlines business operations but also provides valuable insights that simplify the identification of potential fraud, making it an essential asset for enterprises looking to safeguard their interests. Ultimately, TrackLight empowers businesses to act proactively against fraud, significantly reducing the risk of financial loss.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

COMBO Network

Integrations

COMBO Network

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Inscribe

Founded

2017

Country

United States

Website

www.inscribe.ai/

Vendor Details

Company Name

TrackLight

Founded

2023

Country

United States

Website

tracklight.ai/

Product Features

Fraud Detection

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

Product Features

Fraud Detection

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

Alternatives