Financial services
Reduce risks and operating costs with AI
Traditional financial services providers need to look for better ways to get customers attention, introduce new services as well as protecting their business against issues like fraud or money laundering.
Our team at Gauss Algorithmic has created proven and valuable solutions for institutions like banks and insurance companies that can help them use data and AI to bring innovative services for their customers while reducing risk and overall costs.
Benefits
Engaged customers
Know Your Customer. Processing digital customer data is key to optimizing the consumer experience.
Build trust
Combining new data sources and AI can significantly improve security options and reduce risk.
Efficient processes
Understanding process inefficiencies through the data can help reduce the leakage of revenue.
Accurate decisions in real-time
Accuracy is as important as the speed. Use of machine learning helps continuously improve scoring models.
Increased employee productivity
Automate repetitive tasks with AI and allow your employees to concentrate on bigger problems.
Ease regulatory compliance
Reduce the chances of human error and enable more automated options to comply with areas like anti-money laundering and customer data privacy.
Solutions delivered by top AI experts
We have a proven track record of implementing AI solutions in a number of industries. We’ve had great successes and also discovered dead ends. With many years of experience, we are helping financial services organizations reduce risk when implementing these state-of-the-art technologies
Where we help
Smarter lead generation
Find new customers faster while reducing the costs to acquire them.
automatically generate real customer journeys
enable real-time event processing
use machine learning to cluster similar customer behavior and journeys
enhance customer profiling and segmentation
use external data sources to target new potential customers
Customer experience and personalization
Understand the reasons behind a customer using your product and create a personalized experience.
recommend products & services in real-time
personalize credit decisions
personalize the content of web and mobile
talk to customers their way on their favorite device
provide important customer events in real-time to applications
Risk management
Increased quality and reliability of data can significantly improve and speed up the entire risk validation process.
know customers and get them where they want faster without increasing risk
use new external data to get deeper insights and make better decisions
detect anomalies in customer behavior
automate repetitive processes and reduce human error
Faster prototyping and rapid development
Reduce operational inefficiencies and bring new solutions to the market faster.
modernize your data architecture
introduce cloud and containerization
automate testing
build environments for data science
Case studies
Stories of our successful clients whom we‘ve helped push their business forward using data.
Discover the needs of your customers at the right time and start talking to them ahead of the competition
Read our blog
Revealing Sensitive Documents with NER: Case Study
06. 8. 2019Read more Revealing Sensitive Documents with NER: Case Study
Revealing Sensitive Documents with Entity Recognition
22. 7. 2019Read more Revealing Sensitive Documents with Entity RecognitionWe must know, we will know
Expert team in big data and AI
Our team has presented hundreds of insights in many possible formats. We use tools and methods developed and used by scientific teams dedicated to research.
Tailored approach
We strongly consider the existing business environment, capabilities to execute and skill of the staff. This enables us to provide minimum risk and bring quick success to your company.
Working with the best innovators
Cloudera, Microsoft, Clever Analytics, Apache Kafka, Apache Spark, Power BI, Tableau, Jupyter Notebooks