Demonstrating FraudPulse: From Data to Actionable Fraud Insights in Minutes

The idea behind FraudPulse is to make fraud analysis usable from day one.

Step 1: Onboarding

When someone logs in for the first time, we ask them a few general questions — what kind of business is this? What's the volume? What kind of customers are you dealing with?

Just enough context so the system understands what it's looking at.

Step 2: Connecting your data

From there, the next step is connecting data. We've kept this intentionally simple. You can integrate directly with any payment provider — or, if you don't want to deal with integrations, just upload a CSV. We'll take it from there.

Step 3: Analysis happens in the background

Once the data is in, everything else happens automatically. We monitor the transactions, assess the risk across them, and give you a clear view of where things stand.

What you get is a clear picture of:

• What's happening across your transactions
• How much fraud you have and where you're exposed
• The exact actions you can implement immediately

If it turns out you actually need an external solution, we'll suggest that too. Everything is structured so you can take it and share it internally — with your team or your manager.

Watch the walkthrough

The goal

The goal with FraudPulse is what we kept coming back to while building it: how do you take something that's usually complex, technical, and time-consuming and make it simple enough that anyone can use it?

That's really what this is about.

If you want to see how it looks on your own data, feel free to reach out.