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What is Voicesense?

Harness the power of voice technology to make well-informed decisions. With Voicesense's predictive analytics, you can gain insight into genuine human behavior, leading to improved financial outcomes. By analyzing voice data, we can identify individual behavioral trends with precision. Our cutting-edge machine learning techniques provide customized behavior predictions applicable across various fields, including risk assessment, talent management, sales enhancement, and healthcare. Our Loan Default Predictor evaluates the probability of short-term loan applicants failing to repay their loans. Through an analysis of diverse speech features, we construct a unique profile that illustrates a person's behavioral tendencies. Remarkably, our system is capable of generating dependable forecasts in less than a minute of conversation, facilitating quick decision-making. This patented technology is built on extensive speech research and has garnered recognition for its ability to convert voice data into meaningful insights. Additionally, our analysis transcends language barriers and maintains impartiality, while our automated system can assess both live audio and pre-recorded sound, showcasing its adaptability. This groundbreaking method of voice analytics not only optimizes workflows but also significantly boosts the efficiency of decision-making processes, resulting in a more agile and informed approach. Embracing this technology could redefine how organizations operate in an increasingly data-driven world.

What is Early Warning?

A customer can start the application process for a new account through various methods, including face-to-face interactions at the branch, online platforms, mobile applications, or by calling the contact center. Early Warning evaluates the likelihood of the customer's authenticity by leveraging advanced banking data, enabling a swift assessment of identity verification which significantly improves the identification of synthetic and manipulated identities. Moreover, Early Warning predicts the chances that a customer might default due to first-party fraud within the first nine months following the account opening. Through the use of predictive insights, we acquire a more profound understanding of customer behavior and tendencies. The system also analyzes the risk of default arising from poor account management during the same period. With these evaluations, institutions can tailor applicant benefits to align with their specific risk appetite. Utilizing real-time predictive analytics not only supports more strategic decision-making but also expands financial access for a broader range of customers. This approach is instrumental in managing risk effectively, potentially enhancing revenue opportunities. Ultimately, the equilibrium between risk management and customer inclusivity is essential for cultivating a more robust financial environment, fostering growth and stability for all stakeholders involved.

Media

Media

Integrations Supported

NuDetect

Integrations Supported

NuDetect

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Voicesense

Company Location

Israel

Company Website

www.voicesense.com

Company Facts

Organization Name

Early Warning

Date Founded

1990

Company Location

United States

Company Website

www.earlywarning.com/products/identity-chek-service-new-account-scores

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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