3Chat
The solution enables interaction with the company’s knowledge base – it provides instant answers to questions about internal procedures, policies, or regulations – even in the case of complex queries.
Our offer
We create and implement tailored IT solutions that facilitate data management and automate both internal and external processes.
The solution enables interaction with the company’s knowledge base – it provides instant answers to questions about internal procedures, policies, or regulations – even in the case of complex queries.
A solution designed for call centers. It converts speech to text during a consultant’s conversation with a customer. When the application detects a specific keyword, it displays the consultant with an appropriate instruction or message on the screen – tailored to the context of the conversation.
The solution enables the extraction of dispersed data from PDF documents and transforms it into a structured, transparent format – data that can later be used to power machine learning models and other GenAI-based solutions.
We create dedicated solutions that support the automation and digitisation of internal and external processes. From business analysis to implementation.
We provide strategic consulting, design, and implement data architectures (on-premises, cloud, hybrid).
Explainable Artificial Intelligence (XAI – Explainable AI), recommendation systems, MLOps – implementation, monitoring, ethics, and responsibility in AI.
We implement intelligent solutions that maximize the potential of data – from integrating data from various sources to visual data dashboards.
We migrate between cloud and on-premises environments, and support the development of hybrid infrastructures.
We automate data processing (ETL, ELT, NiFi, Airflow), integrate data sources, and prepare them for analysis.
Processing, analysis, and intelligent recommendations (including predictions) all in one place, based on large data sets.
Data processing, data cleaning, feature engineering, dimensionality reduction, multivariate analysis.
Machine Learning & Deep Learning – supervised and unsupervised learning, classification, prediction, segmentation and clustering, machine algorithms, neural networks and their architectures, mathematical and probabilistic modeling.
Linear and nonlinear programming, global and local optimization, Monte Carlo simulations, Bayesian optimization.
Descriptive statistics, statistical inference, time series analysis, extrapolation and interpolation.
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