Dotfile provides a next-generation Know Your Business (KYB) solution that automates anti-money laundering (AML) procedures and identity verification for financial institutions. By leveraging AI-driven document analysis and real-time risk scoring, it enables businesses to efficiently verify customers globally, reducing onboarding time from hours to minutes while ensuring compliance with regulatory standards.
Funding
$9.7M 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.
SVFounders
Product
Problem
Financial institutions face challenges in efficiently verifying businesses and ensuring compliance with anti-money laundering (AML) regulations. Traditional Know Your Business (KYB) processes are often manual, time-consuming, and prone to errors, leading to increased operational costs and potential regulatory risks. The complexity of global business structures and the need to access reliable data from various sources further complicate the verification process.
Solution
Dotfile offers an AI-powered KYB solution that automates AML procedures and identity verification for financial institutions, streamlining the onboarding process and ensuring regulatory compliance. The platform aggregates data on over 400 million businesses worldwide, enabling users to map complex corporate structures and identify beneficial owners. It automates data collection, risk scoring, and periodic monitoring, reducing the average approval time from hours to minutes. Dotfile also provides ongoing monitoring and alerts for potential matches, reducing false positives and improving the accuracy of risk assessments.
Target Audience
Dotfile primarily targets financial institutions, fintech companies, crypto businesses, private equity firms, marketplaces, and banking & insurance providers that require efficient and compliant KYB solutions.
Features
- Access to data on over 400 million businesses globally, including corporate structures and beneficial ownership information.
- Automated AML screening for sanctions, PEPs, and adverse media, with fine-tuning options to reduce false positives.
- AI-driven document analysis for automated extraction of information from proof of address, bank details, and other documents.
- Customizable risk engine with a low-code rules builder to match FATF methodology and create personalized risk rules.
- White-label portal for data collection, easily embeddable in existing products, with pre-populated information to boost conversion.
- Video and still document verification to ensure compliance, with instant detection of counterfeit documents or stolen identities.
- Case management tools for investigating alerts, reviewing documents, and managing communications with customers.
- Ongoing monitoring for new potential matches, ensuring continuous compliance.