SentiLink
Financials
Estimates*
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | <1m | 2.1m | 3.3m | 13.5m | 16.6m |
% growth | - | 133 % | 57 % | 309 % | 23 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$14.0m | Series A | ||
$70.0m | Series B | ||
Total Funding | AUD130m |
Recent News about SentiLink
EditSentiLink is a fintech startup that provides innovative solutions to combat identity fraud. The company operates in the financial services market, serving leading financial institutions, credit unions, and fintech companies. SentiLink's business model revolves around its proprietary machine learning models, which are used to detect and prevent fraudulent activities at the point of application.
The company's team of risk analysts continuously review cases, using a combination of human intelligence, expertise, and licensed and proprietary data to refine their machine learning models. This allows them to provide their clients with detailed insights into potential fraud cases, enabling them to make informed decisions and confidently approve customers.
SentiLink's products are designed to adapt to different types of fraud and an ever-changing landscape. They offer flexible configurations and integrations, allowing clients to customize the products to suit their unique needs. The company's suite of products targets fraud at the point of application, without compromising the customer experience.
SentiLink also offers real-time insights about identity for various use cases across the financial services landscape. This allows their clients to deliver top-tier products to their customers while minimizing fraud losses. The company's services extend to credit cards and lending, enabling clients to provide more legitimate customers with consumer, auto, and business loans while blocking synthetic fraud, identity theft, and first-party fraud.
In summary, SentiLink is a forward-thinking fintech company that leverages machine learning to provide financial institutions with effective solutions to combat identity fraud.
Keywords: Fintech, Identity Fraud, Financial Institutions, Machine Learning, Risk Analysis, Fraud Detection, Real-Time Insights, Credit Cards & Lending, Customizable Solutions, Proprietary Data.