We turn data into profit
Use machine learning technologies to boost profit and get ahead of the competition — just as our clients have done.Explore use cases
improvement in targeting accuracy
rise in the number of competitor loans detected
increase in the conversion ratio
Credit Risk Monitoring Loan default prediction
Predicting and preventing loan defaults with proactive credit risk managementLearn More
Discover how we’ve helped our banking clients to sell more products, reduce risk and fix other common challenges.
Data-driven campaign targeting
Thanks to Profinit’s AcceptAI, Raiffeisenbank CZ achieved a 6-fold improvement in call centre conversion rates based on customer behaviour.Learn More
Increasing acceptance rate through machine learning
Profinit delivered a behavioural model that resulted in a 30% increase in the loan-offer acceptance rate of a digital channel.Learn More
Computing anti-fraud predictors
How Profinit helped the Česká spořitelna (Erste Group) dramatically speed up fraud detection, to process 1.5 billion transactions per day.Learn More
Competitor loans consolidation
Profinit helped Raiffeisenbank CZ detect twice as many loans with competitors – and approach more clients to consolidate their loans – while remaining “the most customer-friendly bank”.Learn More
DevOps: Automated deployment on the cloud
The DevOps automated pipeline enables quick and sound deployment of new applications into micro-service infrastructure.Learn More
Propensity scoring model
Creating a prediction model aimed at identifying clients likely to take out consumer loan products and optimising campaign targeting.Learn More
Big data Hadoop platform
Profinit delivered an end-to-end big data platform, enabling Raiffeisenbank CZ to perform use case analyses with large volumes of transactional data.Learn More
Central log monitoring for security
How Profinit helped the Erste Group Bank AG meet new cyber security regulations, and enabled rapid access to fresh data.Learn More
Thanks to Profinit’s AcceptAI, we achieved a 6-fold improvement in call centre conversion rates in a credit campaign targeted based on customer behaviour.
The whole platform is integrated with all required systems. It is the unique solution, the first Apache Spark implementation for production data computation in our Data Lake distributed environment.
In Profinit, we are convinced to have found a professional partner for our bank in the IT domain.
After the Hadoop installation with Profinit, we have gained a much better product usage overview.
Profinit has a talent pool of highly qualified Big Data & Data Science experts, that we gladly tap into.
We have chosen Profinit as our strategic partner for data analytics as they show an excellent performance and profound knowledge. Thanks to our collaboration, we have improved the acceptance rates by double digits.
The Profinit team helped us to define proper HW requirements and then provided the desired solution with the cutting-edge architecture tailored precisely to our needs.
Automation of data-oriented solutions
Propensity modelling for banks
major clients from various sectors
in annual revenue for the division