Fraud Detection at Scale
From simple rules to ML-powered fraud prevention that saved $2M annually.
We build data products from common interview problems and document how they work in production. Each product comes with a full write-up of the process.
Data systems built from interview problems, running in production
Each product includes a write-up covering the problem, approach, and outcome
We review your data infrastructure and suggest where data science could help
Data systems built from interview problems, now running in production
Peer-to-peer learning platform
Learning platform for cards, courses, and live events with buddy matching. Includes an internal economy for creators and participants.
Swiss travel planning with SBB data
Trip planning assistant with SBB real-time schedule integration. The next public release is in preparation.
Real-time fraud detection
Fraud detection system for financial services using ML-based pattern recognition on transaction streams.
Write-ups covering the full path from problem to working system
From simple rules to ML-powered fraud prevention that saved $2M annually.
We look at your current data setup and identify where data science methods could be applied. No cost, no commitment.
We look at what data you have, how it flows, and what you are not using yet
If you already have data pipelines or models, we review them for performance and cost
Based on what we find, we suggest concrete next steps with estimated effort
Fill out the form and we will get back to you within 1-2 business days.