Insights: Software that extracts knowledge from data. Model. Predict. Simulate. Discover. Associate. Gain new Knowledge and Insights from noisy data. Easily and Reliably. Ultra-fast, parallel, self-organizing, high-dimensional modeling of real-world processes and complex systems.  
About Us.
Leading Knowledge Mining and Sensitivity Analysis Technologies for the Mac.
KnowledgeMiner Software is a privately held company founded in 1993 in Berlin, Germany. The company is active in research, development and application of unique self-organizing knowledge extraction from data technologies for modeling, forecasting and analysis of complex systems under incomplete a priori knowledge.

We are passionate about developing high-quality, cutting-edge, knowledge mining software tools which add value to our customers' fields as well as to society in general. We believe that self-organizing knowledge mining technologies will play an important role in better understanding complex phenomena and in detecting future developments of systems and processes in a clearer and more sophisticated way.

KnowledgeMiner Insights GMDH software
The company is the developer of the distinguished Insights and Ockham knowledge mining and sensitivity analysis software tools for the Mac. They implement outstanding sets of parallel algorithms for modeling and validation of real-world systems to allow knowledge mining and global sensitivity analysis from noisy high-dimensional data in a most objective, automated, easy, and fast way.

KnowledgeMiner contributed to modeling and prediction of toxicological and eco-toxicological hazards of chemical compounds from experimental data for regulatory

purposes within REACH1 to minimize animal tests and participated in three international research projects funded by the European Union related to QSAR modeling and model evaluation2.

Other major fields of activity have been climate change related modeling and prediction problems, probabilistic energy forecasting, sales and demand predictions, and macro-economic forecasting.

1 REACH regulation
2 QSAR models for REACH

Supporting Material.
Press Releases Files
September 14, 2017
Innovative Software for Regional and National Macroeconomic Forecasting
Self-organized Interdependent System Self-organized Interdependent System
May 5, 2017
Ockham 2.0: Identify the Critical Factors and Interactions in Your Model
April 19, 2016
Insights 5.0: Learning from Observations.
Model self-organization model self-organization
November 5, 2015
Insights 4.0: Predictive Models for Web, iOS, and OS X Dev Projects
Model deployment screenshot
October 13, 2015
Ockham 1.0: Identify the Critical Factors in Your Models
Screenshot screenshot
March 2, 2015
Insights for OS X Used for Probabilistic Renewable Energy Forecasting
October 1, 2014
Insights 3.2 for OS X: Automated Forecasting and Workflow Integration
January 28, 2014
Insights 3.0 for OS X: Similar Patterns Technology for Easy Forecasting
September 17, 2013
Insights Data Mining for Mac OS X: Ivakhnenko 100th Anniversary Giveaway
A.G. Ivakhnenko A.G. Ivakhnenko
July 29, 2013
Insights 2.0 for OS X: Self-Organizing, Cost-Sensitive, Data Modeling
Screenshot screenshot
June 7, 2013
Insights for OS X: Data Mining App, "KnowledgeMiner," Renamed "Insights"
Screenshot screenshot
February 27, 2013
KnowledgeMiner 1.4 for OS X: Mine. Extract. Predict. Identify. Simulate.
App Icon

Deep Learning and noise immunity of GMDH adaptive self-learning and self-organizing data mining, forecasting and classification of streams of data