
Easy & Powerful
Easy & Powerful


rAI-Q is the modeling software within our software suite,
engineered to elevate your analytical capabilities.
rAI-Q is the modeling software within our software suite, engineered to elevate your analytical capabilities.






Preprocess your data, train models, and analyze results.
Preprocess your data, train models, and analyze results.
rAI-Q’s intuitive interface and powerful algorithms reduce the learning curve for users of all skill levels, allowing them to navigate effortlessly through the software’s features and functionalities.
rAI-Q’s intuitive interface and powerful algorithms reduce the learning curve for users of all skill levels, allowing them to navigate effortlessly through the software’s features and functionalities.
Auto Reports
Every action is logged, and a structured report is created instantly.
Every action is logged, and a structured report is created instantly.
User Control
Higher-priority users have full control, while lower-priority users can modify only designated sections.
Higher-priority users have full control, while lower-priority users can modify only designated sections.
Clear Logs
Each report logs who did what, ensuring a clear record of contributions.
Each report logs who did what, ensuring a clear record of contributions.
Easy Tracking
Easily navigate and manage previous actions with a complete history of edits.
Easily navigate and manage previous actions with a complete history of edits.
AI-Driven Automation
A single click of a button imports your data, automates data preprocessing, or optimizes your model parameters.
A single click of a button imports your data, automates data preprocessing, or optimizes your model parameters.
Enhancing Models with Powerful AI
Train deep learning-based AI models to unlock the potential for even greater performance.
Train deep learning-based AI models to unlock the potential for even greater performance.

easy and powerful


As the analytical engine within our software suite,
rAI-Q brings fast, reliable results with advanced modeling.
As the analytical engine within our software suite, rAI-Q brings fast, reliable results with advanced modeling.
As the analytical engine within our software suite, rAI-Q brings fast, reliable results with advanced modeling.
Discover the Power of Deep Learning-based AI
Discover the Power of Deep Learning-based AI
To the best of our knowledge, we are the first to democratize the usage of deep learning models for spectral analysis.
Deep learning models tend to perform better than traditional models on large, well-constructed datasets.
To the best of our knowledge, we are the first to democratize the usage of deep learning models for spectral analysis. Deep learning models tend to perform better than traditional models on large, well-constructed datasets.
To the best of our knowledge, we are the first to democratize the usage of deep learning models for spectral analysis. Deep learning models tend to perform better than traditional models on large, well-constructed datasets.
PLS
PLS
Can’t add other features
Can’t add other features
Linear features only
Linear features only
Clean, independent spectral features
Clean, independent spectral features
Extensive preprocessing
Extensive preprocessing


Deep Learning
Deep Learning
Analyzes correlations between features and other input data (e.g. temperature, pressure)
Analyzes correlations between features and other input data (e.g. temperature, pressure)
Noisy, overlapping spectral features
Noisy, overlapping spectral features
No preprocessing
No preprocessing
Nonlinearity
Nonlinearity








-Q
Workflow
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.


-Q
Workflow
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.


-Q
Workflow
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.


-Q
Workflow
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.
01
Data
Parsed files are displayed. Edit data and labels.
02
Data Preprocessing
Manually preprocess data for traditional applications,
or automatically preprocess data with our proprietary algorithm.03
Modeling
Use your dataset to train traditional PLS models,
or try out our deep learning-based AI models.
04
Auto-Correction
Auto-correct models using outlier detection
and validate model improvements.
05
Prediction & Report
Review trained models and predict labels with new data.
Generate an automatic report of your work.


Easy
Designed with usability in mind, rAI-Q makes the analytical process effortless. rAI-Q automatically identifies relevant patterns in your data to streamline data preparation and preprocessing, empowering users to focus on insights rather than data wrangling.
Designed with usability in mind, rAI-Q makes the analytical process effortless. rAI-Q automatically identifies relevant patterns in your data to streamline data preparation and preprocessing, empowering users to focus on insights rather than data wrangling.
Powerful
Powerful
rAI-Q harnesses the power of state-of-the-art artificial intelligence, including deep learning techniques. Our built-in AI algorithms are able to automate the entire modeling process, enabling users to achieve more accurate results with maximum efficiency.
rAI-Q harnesses the power of state-of-the-art artificial intelligence, including deep learning techniques. Our built-in AI algorithms are able to automate the entire modeling process, enabling users to achieve more accurate results with maximum efficiency.



Where Innovation Drives Discovery,
The New Standard for Spectral Analysis
Where Innovation Drives Discovery,
The New Standard for Spectral Analysis
Where Innovation Drives Discovery, The New Standard for Spectral Analysis

Where Innovation Drives Discovery,
The New Standard for Spectral Analysis