Catch tenant application fraud automatically
Use Resistant AI’s document fraud detection to screen tenants faster and more efficiently while catching more fraud.
Catch more document fraud in less time with state-of-the-art AI fraud detection
• Payslips / paystubs
• Tax forms
• Transaction histories
• ID documents
Tenant fraud is on the rise
As property markets around the globe remain more competitive than ever, applicants will use anything at their disposal to get an edge—including document forgery and identity theft. To combat this boom in fraudulent property rental applications, use an AI technology that will streamline your documentation checks and give you speedier, more accurate results.
Screen more tenants
more efficiently
If you carry out heavy manual checks on a wide variety of documents, a process that can take between 30 minutes and 3 days per applicant, then you're in the right place. Our AI document fraud detection takes it down to an average of 3 minutes to complete, or as long as 15 minutes if suspicions are raised.
Catch more fraud
Real estate agencies, conveyancing and tenant referencing companies use Resistant AI to check application documentation and verify identity and financial means to pay. You can now use the power of AI too, and detect up to 36% more fraud!
Get a competitive advantage
Enjoy faster and more accurate identity and financial checks when using Resistant AI's document fraud detection technology. Resistant AI’s Document Forensics will increase the speed of your documentation checks, accepting around 80% of documents instantly. Fraud detection becomes an instantaneous part of rental agreements and onboarding, streamlining the process to give you a competitive edge.
How our AI works for you
Resistant AI’s document fraud detection is easy to integrate into your existing system, without the need to change your processes. Our AI checks every PDF, image, or other document you receive with more than 500 detectors to spot forged documents. Our multi–layered document analysis technology also inspects the metadata and structure of documents to detect any fraud attempt.
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