Classification & Prediction
Churn, lead scoring, fraud detection, demand forecasting — XGBoost, Random Forest, neural networks.
Artificial Intelligence
Custom ML models, NLP, LLM/RAG and AI pipelines to automate your decisions and turn data into competitive advantage.
From supervised models to autonomous LLM agents — each solution is tailored to your data and sector.
Churn, lead scoring, fraud detection, demand forecasting — XGBoost, Random Forest, neural networks.
Sentiment, entity extraction, ticket classification, auto-summarization — transformers and BERT models.
Object detection, image classification, visual quality control — YOLO, ResNet and CNN architectures.
Sales forecasting, anomalies, predictive maintenance — Prophet, LSTM, ARIMA models.
Conversational agents on your internal data, retrieval-augmented generation, LangChain and OpenAI pipelines.
Real-time monitoring, proactive alerts, isolation forest and autoencoders to detect the unexpected.
Analysis of your available data, definition of objectives and success metrics for your AI use case
Cleaning, feature engineering, reproducible data pipeline and dataset versioning
Algorithm selection, hyperparameter tuning, cross-validation — always with your business domain
Robustness tests, detailed metrics, model comparison and validation with your field teams
REST API, integration with your existing tools, drift monitoring and automatic retraining
E-commerce / SaaS
A prediction model flags at-risk customers from their behavior, so you can act before they leave.
Legal / HR
Language processing extracts and classifies key clauses across large volumes of contracts or files.
Finance / Insurance
A detection model flags unusual transactions, with thresholds tuned to your risk tolerance.
Applications that solve real problems, with a long-term vision.
Leveraging your data to automate, predict and optimize.
Clean code, robust architecture, built-in security.
Generative AI, cloud, automation, user-centered UX.