TIM, powered by Instant ML

Tangent Information Modeler (TIM) delivers instant business value

through automated, accurate and lightning fast predictive analytics.

This engine is developed by Tangent Works

and integrated natively in the byNeuron ENERGY platform

Build accurate predictive models, in seconds

Tangent Works’ InstantML technolgy is revolutionizing the world of AI-enabled, predictive forecasting.

InstantML is a breakthrough machine learning approach that is taking predictive time series forecasting and anomaly detection to the next level by delivering production-ready AI models and business results in seconds. Tangent Works has brought InstantML to life through its TIM engine (Tangent Information Modeler). Leading companies across the globe are amazed by TIM’s lightning-fast speed, incredible accuracy and unmatched flexibility.

“With TIM, you can generate accurate and reliable forecasts from time series data in seconds rather than hours or days, delivering instant value for business operations.”


Time series are everywhere. Each industry vertical, each domain, each company comes into contact with time series in one way or another. In Energy & Utilities, we enable more and better price, load, and imbalance forecasting.
Future proof platform


The real and immediate value of InstantML is remarkable under normal circumstances, but its true genius is how it can help companies cope during times of turbulence. InstantML is a true paradigm shift well beyond automated machine learning because the entire process to build and deploy a predictive model is completed by TIM in just a single step.

It is 100x faster than other approaches, while delivering very high accuracy. What used to take data scientists weeks or months can now be accomplished in seconds. This powerful predictive capability allows companies to adjust to changing conditions in real-time while creating an early warning system to detect when things deviate from normal.

Seeing is believing when it comes to the lightning-fast speed of InstantML. See how easy, accurate and fast predictive, AI-enabled forecasting can be for all types of businesses.

New InstantML business applications and use cases are added to our use case library every month. Imagine what InstantML could do for your business!

Want to know more on how instantML can create business value?

Check the webinarFree trial
Future proof platform


  • NThere is a huge struggle to move AI and ML projects to production.
  • NMost organizations still lack the necessary skills to leverage ML to bring business value.
  • NChanging data and business environments often cause tremendous data drifts, and render masses of ML models obsolete.

How does TIM meet zelospark? Download our leaflet!

Future proof platform


As a predictive modeling game changer for forecasting and anomaly detection, InstantML supports business users with its focus on value creation and ease of use. With TIM, predictive analytics initiatives go beyond experimenting, to production in a fast, accurate, automate, flexible and explainable way.

InstantML creates a paradigm shift beyond AutoML, since all steps – including feature engineering, model building and tuning, back testing and model selection – are reduced to one single step.

“TIM’s unique level of automation and speed allows us to remove the complexity of data science and provide easy-to-use and explainable AI for scalable, dynamic and real-time applications.”

E-Book on Predictive Analytics for Time Series with InstantML for dummies

Download the E-bookFree trial
Future proof platform


Tangent Works was founded in 2014 by a team of data scientists and mathematicians who believed in the power of predictive modeling for optimizing operations and reducing costs, but found that the existing methods were far too complex and slow for broad adoption.

The Tangent Works’ mission is to de-mystify predictive modeling for forecasting and anomaly detection using our revolutionary InstantML technology and flexible TIM solution and make them accessible and productive for a broad range of users and use cases.

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