The features we provide: Automated identity verification such us biometric facial recognition, motion capture and identity document verification; Application fraud detection including on-going name screening and risk scoring for false-positive, documents fake detection; Synthetic fraud detection; Customer return and retention triggers; Enhanced due diligence and random sampling with the agent assignment; Manage risky applications and track actions with a simple communication tool.
We increase conversion rates and give a chance to risky customers (applying risk scoring and fraud mitigation tools) where others just decline their applications.
For regulated institutions and fintechs: Speed to markets. More customers. Increase in conversion. Less drop off. Keep track of your compliance obligations.
For sponsoring regulated institutions (e-money issuers and bin sponsors): apply the platform to ensure your FinTech effectively complying with regulations and corporate policies.
Based on our record, Fluree seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Reminds me a lot of Fluree[0], an immutable, cryptographically verifiable, temporal database, but with RDF as a query language, which I think is very nice. SQL is nice because it's familiar but it's honestly not that hard to improve on. [0]https://flur.ee/. - Source: Hacker News / about 3 years ago
This tutorial is designed to introduce a simple React application that utilizes FlureeDB to manage data. A basic understanding of React is assumed, as is basic experience with a relational DB and querying/inserting data with SQL. - Source: dev.to / about 3 years ago
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