About Uplinq Financial Technologies

The startup offers a global credit assessment platform that utilizes a wide range of validated data signals to evaluate the creditworthiness of small business customers. This technology enhances the credit decision-making process for lenders, particularly for minority and protected class segments, while ensuring compliance with regulatory standards.

<problem> Small businesses often struggle to access fair credit due to limited credit history and reliance on traditional, often insufficient, underwriting methods. Lenders face challenges in accurately assessing risk for these businesses, particularly those in minority and underserved segments, leading to many potentially viable loan applications being declined. </problem> <solution> Uplinq provides a credit decisioning support platform that leverages billions of data points from over 10,000 unique sources across 150+ countries to give lenders a comprehensive view of small business applicants. The platform uses AI-assisted expert-generated models to predict the probability of default, early repayment, and other factors such as bankruptcy and payment consistency. Uplinq's technology integrates into a lender's existing workflow via API, providing scores and analytics in real-time. By incorporating alternative, contextual, and market data, Uplinq empowers lenders to approve more loans, especially for minority and underserved segments, while maintaining compliance with regulatory standards. </solution> <features> - AI-driven insights and analytics derived from over $1.4 trillion in underwritten loans. - Access to over 10,000 unique data sources, including macroeconomic, demographic, and alternative data. - Risk and Power Scores: Probability of Default (PD) score and a confidence measure (Gini/KS value) to understand variability in credit risk. - Pre-screen and fitment tools to ensure compliance with BISG testing, tax guidelines, SBA requirements, and evolving regulations like CFPB’s Dodd Frank Act 1071. - Transparent and interrogable models that provide detailed positive and negative reasons for credit decisions. - Scorecard benchmarking to comply with internal and regulatory requirements such as SR 11-7, IFRS-9, and Basel III. - Integration with major core banking platforms, loan management systems, and accounting software. - Real-time API access for seamless integration into existing lending workflows. </features> <target_audience> Uplinq primarily serves financial institutions and fintech lenders seeking to improve their credit decisioning process for small businesses, particularly those aiming to expand credit access to minority and underserved segments while maintaining profitability and regulatory compliance. </target_audience>

What does Uplinq Financial Technologies do?

Where is Uplinq Financial Technologies located?

Uplinq Financial Technologies is based in Toronto, Canada.

When was Uplinq Financial Technologies founded?

Uplinq Financial Technologies was founded in 2021.

How much funding has Uplinq Financial Technologies raised?

Uplinq Financial Technologies has raised 6050000.

Location

Toronto, Canada

Founded

2021

Funding

6050000

Employees

18 employees

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Uplinq Financial Technologies

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Executive Summary

uplinq.co 2K+

Crunchbase

Founded 2021 – Toronto, Canada

Funding

Estimated Funding

$5M+

Team (15+)

No team information available.

Company Description

Problem

Small businesses often struggle to access fair credit due to limited credit history and reliance on traditional, often insufficient, underwriting methods. Lenders face challenges in accurately assessing risk for these businesses, particularly those in minority and underserved segments, leading to many potentially viable loan applications being declined.

Solution

Uplinq provides a credit decisioning support platform that leverages billions of data points from over 10,000 unique sources across 150+ countries to give lenders a comprehensive view of small business applicants. The platform uses AI-assisted expert-generated models to predict the probability of default, early repayment, and other factors such as bankruptcy and payment consistency. Uplinq's technology integrates into a lender's existing workflow via API, providing scores and analytics in real-time. By incorporating alternative, contextual, and market data, Uplinq empowers lenders to approve more loans, especially for minority and underserved segments, while maintaining compliance with regulatory standards.

Features

AI-driven insights and analytics derived from over $1.4 trillion in underwritten loans.

Access to over 10,000 unique data sources, including macroeconomic, demographic, and alternative data.

Risk and Power Scores: Probability of Default (PD) score and a confidence measure (Gini/KS value) to understand variability in credit risk.

Pre-screen and fitment tools to ensure compliance with BISG testing, tax guidelines, SBA requirements, and evolving regulations like CFPB’s Dodd Frank Act 1071.

Transparent and interrogable models that provide detailed positive and negative reasons for credit decisions.

Scorecard benchmarking to comply with internal and regulatory requirements such as SR 11-7, IFRS-9, and Basel III.

Integration with major core banking platforms, loan management systems, and accounting software.

Real-time API access for seamless integration into existing lending workflows.

Target Audience

Uplinq primarily serves financial institutions and fintech lenders seeking to improve their credit decisioning process for small businesses, particularly those aiming to expand credit access to minority and underserved segments while maintaining profitability and regulatory compliance.