Creednz provides an API-first platform that integrates internal financial data with external intelligence to enable real-time validation of bank accounts and vendor information, enhancing transaction security. The solution addresses the issue of payment fraud by continuously analyzing data to detect anomalies and suspicious activities, thereby protecting finance teams from financial losses.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Corporate finance teams face increasing sophistication and speed in payment fraud, leading to significant financial losses, reputational damage, and regulatory fines. Traditional methods of validating vendor information and bank accounts are often manual, resource-intensive, and unable to keep pace with evolving threats. This leaves organizations vulnerable to fraudulent transactions, internal scams, and supply chain disruptions.
Solution
Creednz offers an API-first platform that integrates internal financial data with external intelligence to provide real-time validation of bank accounts and vendor information, thereby enhancing transaction security and preventing payment fraud. By continuously analyzing data across the entire supply chain, Creednz identifies anomalies, suspicious activities, and potential security threats. The platform leverages AI and machine learning to detect patterns indicative of fraudulent behavior, adapting and improving its detection capabilities over time. Creednz empowers finance teams to make informed payment decisions, streamline data validation, enhance payment lifecycle visibility, and minimize internal department conflicts.
Target Audience
Creednz primarily targets corporate finance teams, CFOs, and finance executives responsible for B2B payments, vendor management, and financial risk mitigation.
Features
- Real-time bank account and business entity validation using third-party data enrichment
- Extensive historical data from a combined customer database to fortify fraud prevention capabilities
- Financial threat intelligence utilizing darknet, restricted lists, and other sources
- Integration of data from internal systems, such as vendor lists and onboarding packages, for actionable insights
- Statistical analysis to detect anomalies and suspicious activities
- Pattern analysis to identify and mitigate risks based on transactional history
- Customizable fraud prevention settings with on/off options per account
- Clear data representation for improved understanding of the financial security landscape