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What is Estimator 9?

Estimator 9, created by FineIT Private Limited, is an advanced automation platform specifically designed for the management of IFRS 9 Expected Credit Loss (ECL) calculations, catering primarily to international financial institutions. This pioneering solution delivers audit-ready risk assessments through a thorough and automated, model-driven approach. The platform enables complete ECL calculations by integrating essential risk parameters such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD), while also factoring in relevant discounting elements. It utilizes a three-tier classification framework paired with automated identification of Significant Increases in Credit Risk (SICR). In addition, it incorporates macroeconomic scenario modeling and proactive adjustments, ensuring adherence to IFRS 9 regulations. With a presence in over 56 institutions in more than 40 countries, Estimator 9 integrates effortlessly with critical banking systems and general ledgers. Furthermore, it provides automated disclosures, stress testing, and validation tools aligned with GPPC guidelines, thereby enhancing the precision and trustworthiness of the data. Recognized by Big 4 audit firms, the platform ensures rapid, clear, and reliable ECL reporting, establishing itself as an essential tool for financial organizations. Its comprehensive features position Estimator 9 as a leader in the domain of ECL management, empowering institutions to navigate regulatory complexities with confidence.

What is Atmantara?

Atmantara stands out as an advanced AI infrastructure solution designed specifically for financial organizations such as banks, insurers, and fintech firms, allowing them to securely and effectively deploy and scale custom machine learning models. Tailored for highly regulated environments rich in data, Atmantara streamlines the entire machine learning lifecycle, from data ingestion to deployment, by providing a user-friendly platform that developers can easily navigate. The platform features a range of both ready-made and customizable models to address diverse requirements, including: • Fraud Detection • Credit Risk Evaluation • Customer Churn Prediction • Claims Automation • Debt Recovery • Portfolio Optimization • Compliance with Regulatory Standards • Payment Process Enhancement • Document Understanding • Customer Behavior Insights With real-time data pipelines, secure model deployment, and extensive audit functionalities, Atmantara equips teams to swiftly and accurately implement AI solutions, thereby promoting innovation within the financial industry. This capability enables organizations to leverage AI effectively, leading to improved decision-making and enhanced operational efficiency, while also fostering a culture of continuous improvement and adaptation to changing market dynamics.

Media

No images available

Media

Integrations Supported

Integrations Supported

AI/ML API

API Availability

API Availability

Has API

Pricing Information

Rs 10000
Free Trial Offered?

Pricing Information

$199/month

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

FineIT Private Limited

Date Founded

2001

Company Location

Pakistan

Company Website

fineit.io

Company Facts

Organization Name

Atmantara GmbH

Date Founded

2024

Company Location

Germany

Company Website

atmantara.com

Categories and Features

Categories and Features

AI Finance

Not specified

Artificial Intelligence

Natural Language Processing
Predictive Analytics

Debt Collection

Automated Notices
Payment Plans
Transaction Management

Financial Risk Management

Compliance Management
Credit Risk Management
Portfolio Management
Portfolio Modeling

Fraud Detection

Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For eCommerce
Pattern Recognition

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