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Automated fraud prevention for on-demand businesses

Instantly block bad users and remove friction for good customers with real-time machine learning.

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85% reduction in chargeback rate

8-9x return on investment

"Using Sift Science allows us to not waste resources on fraud. Instead, we can focus on building the best product possible for our diners."
- Ian Lavey, Director of Operations

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Stay competitive in the mobile, on-demand economy

Whether you have a ride-sharing app or a grocery delivery service, you can save time and money by automating fraud management with Sift Science.

Our machine learning technology constantly uncovers new fraud pattterns and applies those learnings in real time.

  • Block fraud in real time

    Stop fraudulent transactions and chargebacks before they happen — on desktop, mobile apps, and mobile browsers.

  • Boost conversions

    Deliver the simple, frictionless experience your customers expect – without increasing risk.

  • Stop referral code abuse

    Prevent people from using fake accounts to game your referral program.

Instant. Accurate. Automated.

Easy-to-implement APIs and a cloud-hosted solution make for quick, easy, and accurate results.

  • Learnings from a global customer base

    Our technology learns from the tetrabytes of data Sift Science processes from 6,000+ sites and apps across the world.

  • Real-time decisions

    Our machine learning models recalculate risk scores every time a user takes action on your app, or on any app or website in our network.

  • Custom models that keep learning

    Send data unique to your business, and your machine learning model will grow increasingly accurate and effective.

  • Built-in automation tools

    It's easy to set up automated fraud-management workflows that integrate with your backend systems.

Fraud prevention tailored to your on-demand business

Our solution is fully customizable to your data and fraud detection needs. Sift Science can learn from any data you send us.

Examples of custom fields:
  • Tip percentage
  • Delivery message
  • Promo code
  • Pickup / dropoff location
View integration guide