company
Fraud Data Network
Lending database of 100+ million records fights fraud
What is the Informed Fraud Data Network?
Informed works with lenders across industry categories to generate insights, collectively benefiting our clients and partners. We call this network collective insights – the Informed Fraud Data Network.
The Informed Fraud Data Network contains more than 2+ billion lending data points. The data spans 340 dimensions from 100+ million records across top financial institutions. The Network contains data from tens of millions of applicants and documents.
The data supports cross-industry coverage and insights into loan applications, auto dealer behavior, consumer income, and fraud. It is the industry’s leading network of income data, benefiting our clients as they fight fraud.
How it works
Informed’s Knowledge Graph and Fraud Data Network power a configurable, verticalized AI Platform. The platform enables financial institutions to scale their entire portfolio of documents and data, while detecting and reducing fraud.
The AI learns the most relevant and prioritized fields, while the copilot interface is a configurable engine allowing ease of human review, if needed. This is all powered by Informed’s data extraction and classification technology.
The technology reads and ingests a wide range of forms and data inputs, including blurry or handwritten documents.
informed Fraud Data Network
The Benefits
State-of-the-art fraud detection
Our unique overlays our comprehensive knowledge of fraudulent documentation with customer-permissioned data to assess individual applicant fraud risks. You can further leverage Informed’s data through tools like Income Clear, that knows the income for a particular occupation by geography and leverages the data network, determining additional risk factors for an applicant. This saves time and money on validating income for applicants who are not likely to misrepresent their income.
Catch misrepresentation easily and reduce costs
Informed provides a "likelihood of default" prediction and misrepresentation indicator that enable lenders to evaluate the likelihood of loss associated with other application characteristics. This reduces the costs of other solutions and eliminates errors that may arise from manual paycheck reviews. Moreover, it enables lenders to approve more quality loans due to reduced friction in the application process.
