TIM – Tangent Information Modeller – delivers instant business value through automated, accurate and lightning fast predictive analytics.Learn More about TIM
Check-out market trends according to Gartner and see how Tangent Works InstantML opens a whole new world of possibilities.Key Actions to Prevent Machine Learning Failure Due to COVID-19-Related Data Drift
Time series data is everywhere. This makes predictive analytics applicable in many industries. We provide an overview of the industries we believe can benefit from predictive analytics.
Feel free to click through to the industry of your interest.
Predictive analytics for time series in use cases such as forecasting and anomaly detection. The Tangent Information Modeller builds high quality, explainable models on continuously evolving data in any circumstances.
High quality automatic feature engineering while simultaneously adapting model structure and model parameters.
Human-readable & transparent models
Changing data availability
Sensor reading suddenly becoming unavailable
TIM offers flexible deployment options. Easy integration with some of your favorite platforms.LEARN MORE
TIM offers a wide array of interfaces. Users looking for a streamlined graphical interface can find this in TIM Studio.LEARN MORE
Different business roles have different needs and priorities. A qualitative tool needs to find the right balance to live up to all of these diverging requirements.
Provides you with timely, accurate forecasts that help avoid the costs associated with system imbalances, reduce system downtime and optimize maintenance cycles.
Automates the model generation process so you can create and update predictive models without being an AI expert.
Improves your productivity by eliminating repetitive modeling tasks and clarifying the rationale behind predictions with understandable AI.
Compute-efficient, secure and flexible deployment in Azure or AWS Cloud, on-premise or on the edge. Easy to integrate in with your existing databases, BI tools and enterprise applications.