The startup has developed an automated analysis tool that employs machine learning algorithms to evaluate news, social media, and financial data for actionable investment insights. This technology enables users to identify market trends and opportunities before they are reflected in financial prices.
Funding
$10.8M 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
Financial institutions and businesses face challenges in efficiently identifying and assessing risks associated with fraud, credit, and regulatory compliance. Traditional methods often involve manual data collection and analysis from disparate sources, leading to delays and potential inaccuracies. This makes it difficult to proactively mitigate risks and maintain compliance with evolving regulations.
Solution
Enin provides an automated analysis tool that leverages machine learning algorithms to evaluate news, social media, and financial data, delivering actionable business insights. The platform consolidates data from public sources with proprietary calculations, offering a comprehensive overview of company information. Enin's solutions are designed to assist lenders in identifying and analyzing risk factors that can impact loan portfolios and financial decisions, discover and prevent fraud and money laundering, and ensure compliance with Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations. The platform's web portal and API empower professionals to uncover concrete evidence of potential issues, make informed decisions quickly, and proactively address risks.
Target Audience
Enin targets professionals in finance, law, insurance, and other sectors that require precise and up-to-date information for credit risk assessment, fraud prevention, AML/KYC compliance, customer insight, and due diligence.
Features
- Proprietary machine learning model estimates the likelihood of a company going bankrupt within the next twelve months.
- Company flags warn of high-risk events, such as changes in the board, management, owners, accounting, or number of employees.
- Network risk model analyzes companies and individuals associated with the target company to identify fraud or money-laundering risks.
- Real-time monitoring and alerts for events such as announcements, legal proceedings, ownership changes, and news articles.
- Company Browser allows users to segment large sets of companies based on various filters.
- PEP and Sanction screening via integration with Moody's.
- API access for direct integration into business applications.