GSD (Generate Synthetic Data) - Fraud
No inputs, no leaks, under a minute
27 followers
No inputs, no leaks, under a minute
27 followers
GSD - Fraud generates fully structured, fraud-ready synthetic financial data in under a minute. No inputs required, no data leaks—runs entirely in your Snowflake environment. Get a 7-day free trial and scale from 200K to 10M transactions with ease
Hey Product Hunt! 👋
I’m excited to introduce GSD - Fraud, a synthetic data generator built specifically for financial services, fraud detection, and AI training.
🔹 What makes it different?
Most synthetic datasets lack internal consistency—random transactions with no real structure. GSD - Fraud generates fully structured data where:
✅ Customers have cards
✅ Cards have transactions
✅ Fraud patterns are realistic
Every entity is properly linked, so your ML models train on cohesive, life-like financial data instead of isolated, unrealistic numbers.
⚡ Performance & Efficiency
💨 200K transactions generated in under 30 seconds on the smallest Snowflake warehouse.
📊 Scale up to millions of transactions while keeping control over risk exposure and fraud patterns.
🔐 Privacy-first: Runs fully inside your Snowflake environment, so no data ever leaves your system.
📊 What’s Included?
During the 7-day free trial, you get full access, including:
✔ One free 200K generation
✔ 200K dataset definition:
40,000 customers in customer_master
1 to 3 cards per customer in card_account
200,000 transactions in authorized_transactions
200,000 transactions in posted_transactions
🔄 Need More Data? Upgrade Anytime
🔹 After the trial, generate additional datasets:
200K transactions → $250
1M transactions → $1,000
5M transactions → $4,000
10M transactions → $6,500
🚀 Try it for FREE
💡 Now with a 3-day trial—no limitations, full access. Get hands-on with realistic synthetic financial data.
🔗 Try it on Snowflake now: https://app.snowflake.com/market...
Would love your feedback! What’s been your biggest challenge in getting good financial datasets? Let’s chat! 🚀
@matus_finthetic awesome 👏
@miroslava_kopecna Thank you!
@matus_finthetic Gratuluji, to je úžasný 😇🙌🏻
Congrats on the launch! From what I can tell, Snowflake already has a GENERATE_SYNTHETIC_DATA procedure, how is this different?
@michal_certicky Thanks a lot! The difference is quite simple. Snowflake's implementation requires an existing table that it then emulates to generate a table of data. GSD doesn't need that, it generates everything on the fly without inputs, therefore ensuring the resulting dataset is entirely unique for each user and for each generation. This also sidesteps potential issues with reverse engineering an identity of someone who was in the training dataset