“In six months with nSure.ai, we’ve lifted our sales by more than 10% while eliminating manual review and fraud risk"
SVP, Emerging Technologies The biggest gift card company in the world
Swift
Integration
Onboarding & Integration
ML Model Creation & Training
Go Live
Calibrate & Continuously Improve ML Models
Our Technology
The payment fraud industry is used to identity verification on a per transaction basis, trying to understand a simple question, is it a fraud? or not. We don’t. We use behavioral and contextual analysis for temporal linking between transactions. Our eyes are on bigger patterns - scalable fraud attacks that in the digital goods space, makes the biggest threat.
Digital goods with high resale value are attractive targets for scalable fraud.
nSure.ai lets you sell high-risk products like any other product by confidently rejecting the real fraudsters. Guaranteed.
Chargeback Guarantee, regardless of the reason
nSure.ai is the first company to offer merchants real peace of mind through its guaranteed chargeback coverage, no matter the reason (including both fraud and service-related codes), and Automate Chargeback Representment.
Instant account funding
Funding customer accounts instantly and risk-free, ACH, cards, and alternative payment methods.
98% approval rate
nSure.ai machine learning is so accurate that it instantly detects real fraud so your business doesn’t have to reject legitimate sales.
Maximum Friction for Fraudsters
nSure.ai is the only digital goods fraud detection technology that deters fraudsters by employing offensive measures, so they never come back.
High risk digital goods focus
we specialize in the distinct fraud patterns of scalable fraud domains like prepaid / gift cards, e-wallets and downloadable gaming content.
Unique ML Models Tailored for your product
Our models are merchant specific. We incorporate features and data points that are dedicated to preventing the specific fraud patterns You experience.
The payment fraud industry is used to identity verification on a per transaction basis, trying to understand a simple question, is it a fraud? or not. We don’t. We use behavioral and contextual analysis for temporal linking between transactions. Our eyes are on bigger patterns - scalable fraud attacks that in the digital goods space, makes the biggest threat.
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