FCX provides AI-powered solutions that assess risk in business relationships, helping companies prevent fraud and financial losses. Their AI models, including FCX Trust Advisor and FCX Score, analyze individuals and businesses to calculate the probability of scams and fraud, supporting secure client and supplier interactions.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses face challenges in accurately assessing the risk associated with new and existing relationships, making them vulnerable to fraud, financial losses, and non-compliance. Traditional risk assessment methods often rely on limited data and manual processes, resulting in incomplete or delayed insights. This can lead to increased exposure to scams, unreliable suppliers, and difficulties in preventing financial crimes.
Solution
FCX provides an AI-powered risk assessment platform that helps businesses evaluate the trustworthiness of individuals and other businesses. The platform uses proprietary AI models, including FCX Score and Trust Advisor, to analyze various data points and calculate the probability of fraudulent activity. By integrating FCX's solutions, companies can gain a strategic overview of their clients, suppliers, and partners, enabling them to make informed decisions and mitigate potential risks. The platform's dataless technology ensures secure and confidential risk analysis without requiring sensitive data.
Target Audience
FCX's primary customers include businesses across various sectors that require risk assessment, supplier evaluation, and fraud prevention solutions.
Features
- AI-driven risk scoring (FCX Score) for assessing the reliability of businesses and individuals.
- Trust Advisor tool for reducing defaults through precise risk analysis.
- Client Transparency feature designed to aid e-commerce businesses in fraud prevention while ensuring user privacy.
- API that allows businesses to integrate FCX's risk assessment capabilities into existing platforms.
- Dataless technology to ensure data security and confidentiality during risk analysis.
- Overprivacy methodology to protect against data breaches and attacks.