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A leading energy technology provider, Wellsite focused on optimizing drilling operations, approached Oodles to develop a predictive analysis proof of concept. The client aimed to reduce downtime by identifying drilling motor stalls and forecasting potential failures. A deep learning-based system was designed to analyze directional drilling data, detect anomalies, and deliver actionable insights in real time.
The client sought Oodles to tackle the challenge of unplanned motor stalls that disrupted drilling operations and increased costs. They required a solution to preprocess drilling data, build a stall detection model, and expand it into predictive analytics. Areas of work included data cleaning, feature engineering, model training, evaluation, backend services, and a simple frontend dashboard for visualization.
To address the client’s requirements, a predictive analytics framework was developed combining advanced machine learning techniques, scalable architecture, and intuitive interfaces.
Key Implementations:
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Cotaxigo, a France-based mobility platform, aimed to simplify urban travel by enabling users to share taxi fares efficiently. Seeking a seamless and scalable mobile
Technologies Involved:
API Integrations
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Area of Expertise:
Machine Learning

A Germany-based healthcare solutions provider, known for its multilingual patient services, engaged Oodles to design a conversational interface for clinical support.
Technologies Involved:
API Integrations
Area of Expertise:
Machine Learning
+1 more