Case Studies

Are you looking for data-driven competitive advantage? Tatras is focused on the development of data and AI focused tools to bring about digital disruption in various business domains and create value through intellectual property and innovative solutions.

Intelligent Document Processing

alt="A software developer working on a laptop with multiple monitors displaying lines of code, in a collaborative office environment with other programmers in the background." — Optimizing the manufacturing of Cold Rolled Steel Products

alt="A person typing on a laptop with a futuristic digital chatbot interface displayed, showcasing AI-powered customer support with messaging and contact options." — Content Transformation using Deep Learning

alt="A visual representation of digital marketing metrics including CTR (Click-Through Rate), Quality Score, and Cost Per Conversion, showing key campaign performance indicators." — Autograding Speech assessments in Language Learning using Deep Learning and LLMs

alt=" A person wearing a VR headset, engaged in a virtual reality experience, with focused attention and interaction with the digital environment." — Vintage Curve Analysis for Credit Risk using Natural Language Queries using LLMs

alt="A robotic hand interacting with a futuristic digital interface featuring artificial intelligence (AI) icons, automation symbols, and neural network graphics on a glowing blue background." — Reducing Errors & Manual Interaction in Document Management Using ML/NLP

alt="The industrial-style ceiling with exposed beams and fluorescent lighting gives the store a modern yet functional appearance." — Cross Selling Products using LLM driven Machine Learning

alt="A visual representation of digital marketing metrics including CTR (Click-Through Rate), Quality Score, and Cost Per Conversion, showing key campaign performance indicators." — Fraud Investigation using LLMs and Graph Databases

alt="A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs." — Identify potential Money Laundering from transaction history using Graph Databases and LLMs