Reality AI Tools

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optional add ons

AI-Driven Feature Discovery

Features are mathematical descriptions of “things that matter” for purposes of telling the difference between classes, predicting a variable, or detecting anomalies.

Features searched by Reality AI Tools® include:

  • Common transforms on raw data, including logs, powers, derivatives, sign, and more
  • Parametric statistical features and peak analysis
  • Spectral features, including power, phase, spectral shape, periodicity, cepstral, wavelet, etc.
  • Linear and non-linear dimensionality reduction
  • Time-frequency sparse coding and time pattern analysis
  • Binary pattern and texture analysis
examples of class

Automatically Explores Sensor Data and Generates Optimized Models

how it works

AI Explore automatically finds alternative solutions and tells you what it found

tooltips in explanation

Explainable AI: Specific class signatures can be inspected in terms engineers understand

decision significance scatter

Shows processing requirements for each possible solution so you can make necessary trade offs

tooltips in complexity

Identify the best performing sensors, and the best, most cost-effective locations

full sensor selection

Use AI to set minimum component specifications

Measurement error tolerance
scaled noise sensitivity
sample rate line
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The cheapest problems to fix are the ones you catch early. Reduce the cost of data collection through automated monitoring for common pitfalls.

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file consistency tab
data quality pie
class x capacity
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Easily integrate

Easily integrate Reality AI with your firmware build

Reality AI supports ARM Cortex M, R and A architectures from all major manufacturers, as well as Linux and Windows.  We also support many non-ARM architectures.   Ask us about your target processor.

WATCH IT IN ACTION

Easily integrate Reality AI with your firmware build

Reality AI supports ARM Cortex M, R and A architectures from all major manufacturers, as well as Linux and Windows.  We also support many non-ARM architectures.   Ask us about your target processor.

Add-ons for Reality AI Tools

  • Reality AI for MATLAB
    Read MATLAB data files, and use Reality AI to generate models for the MATLAB Signal Processing and Machine Learning toolboxes. Full transparency of MATLAB code - see the details of optimized feature computations and machine learning models generated by Reality AI.
  • Reality AI for Radar
    Automatically select and optimize radar pre-processing options for greater model accuracy. For professional developers working with radar.
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