Machine Learning for Finance, Banking and FinTech. ML Software Services

Machine Learning (ML) services help generate valuable insights based on internal and external data sets in order to optimize existing, time-consuming processes, provide deeper understanding of customers’ needs and improve customer service.

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Discover Ailleron’s Portfolio of AI/ML for Finance Competences

AI Consulting

Do you want to introduce AI/ML solutions in your company but don’t know how to start?
Our experts will advise you on:

in which areas you can use artificial intelligence to solve existing problems
how to determine the requirements for such systems
how to estimate the costs & resources to create, train and maintain ML models
how to deploy ML models on-premise and in the cloud
how to verify the models/solutions of external suppliers

Machine Learning Models

We have extensive experience in creating Machine Learning software models in the area of finance and banking. Based on your existing solutions, we can create an ML model dedicated to your needs and adapted to the data you use. The ML models created by us are comprehensively tested to ensure the high quality of their operations.

ML-OPS & ML System Design

We provide comprehensive support for the creation of systems using ML. Training of an ML model is only part of the success. We help to design ML systems and choose the best way to implement the models. We provide quality monitoring and re-training of the model to make sure that it is doing its job well in a dynamically changing world.

NLP & Chatbot

One of the key areas of Machine Learning (ML) is Natural Language Processing (NLP). We provide solutions that enable the understanding, analysis and business use of complex, unstructured information. We have proprietary solutions that reduce costs and improve the quality of advanced conversation scenarios in chatbots.

GraphML

We help you to fully understand the information hidden in your data. Thanks to the synergy of graphs and Machine Learning, we utilize not only data analysis but also the complex relationships between them (e.g. shopping/social networks). This broad perspective of data analysis allows for the discovery of new business opportunities, as well as a better quality of models.

Examples of Business Areas for Ailleron Machine Learning Services

Smart pricing – maximize profits for specified products/services in-line with customer price sensitivity
Predicting behaviors related to churn, cross-sell/upsell and migrations
Smart alerts and automation in the area of recurrent transactions
Analysis of customer expenses and forecasting of cash flows
Product recommendations based on customers’ needs and behaviors
Detection of anomalies in customers’ transactions, improving the security of online operations
Support in daily banking via a simple and accessible chatbot
Customer segmentation based on gathered information and behavioral factors
Advanced transaction classification
Document analysis
Intent detection
Merchant classification for loyalty & partnership programs

These Machine Learning models can be used to locate offers that are appropriate for the target market. Business outcomes, such as product offers, consumer service enhancements and customer segments, must be delivered consistently throughout the existing IT systems.

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Discover our EBOOKS on Machine Learning Applications in Finance

How can machine learning be used in finance? With our expert ebooks, you will learn how putting ML models into production can give banks and financial institutions a competitive advantage.

How We Work?

Business workshop

Explanation on business needs and expectations

Solution concept

Developing an AI/ML approach, specifying the data needed for implementation (input data) and the method and effect of the solution (output data and their interpretation).rn