AI Automation for Businesses Guide
Aug 13, 2025 in Guide: How-to
Discover how AI automation for businesses can transform your operations. This guide explores real-world uses, implementation steps, and key benefits.
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The tools we use to deliver our projects.
Main knowledge areas
Classification, Regression, Ranking, Survival Analysis, Anomaly Detection, Clustering, Semi-Supervised Learning, Active Learning
Convolutional Neural Networks, Recurrent Neural Networks, Transformers, Transfer Learning, Multitask Learning
Image classification, Object Detection, Image Segmentation
Text Classification, Named Entity Recognition, Text Summarization, Text Generation
Collaborative Filtering, Content-based models, Basket Analysis
Linear & Integer Programming, Metaheuristics
Uni & Multivariate time series forecasting, anomaly detection
Technical tools
We cover a comprehensive range of tools. Below, we showcase some of the tools we use on a daily basis. In case you are using a different stack, contact us to validate if we can cover it.
Core analytics tools we use to bring intelligence to our projects.
Numbers are hard to understand, they need to shine with a story.
Information needs to be preserved. We handle a wide variety of databases to transform raw data into actionable knowledge.
From conceptual consulting to production code, we handle a wide set of tools to bring your project to live.
Aug 13, 2025 in Guide: How-to
Discover how AI automation for businesses can transform your operations. This guide explores real-world uses, implementation steps, and key benefits.
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