Generate Synthetic Financial Transactions for Fraud Detection Models

The "Real Data" Bottleneck

Building systems for Fraud Detection Models is hard because getting high-quality data is often blocked by privacy laws or scarcity. Developers and analysts often face a lack of "fraudulent" examples in real data. You can't just dump a production database into a staging environment anymore.

Generative Data Engineering

The Synthetic Scenario Builder by Datastripes solves this by allowing you to generate massive datasets of Financial Transactions that look and act like the real thing, but are 100% artificial.

• Structure: Matches your schema perfectly.
• Statistical Relevance: Maintains the same distributions and correlations as your real data.
• Safety: Completely anonymous and compliant.

Use Case: train ML models on rare edge-cases

Imagine being able to train ML models on rare edge-cases. With our visual flow builder, you can define the rules of generation:

"Generate 100,000 rows where column A is correlated to column B, but with 5% outliers."

Democratizing Data Engineering

You don't need to be a data engineer to create these pipelines. Datastripes empowers any user to generate the fuel their systems need.

Start generating synthetic Financial Transactions and unblock your team.