Frequently Asked Questions

FAQs

Here are the answers to some common questions that users have about MONET

What is MONET?

MONET is an AI Assistant that enables users to analyze and model their data using natural language prompts.

What types of data does MONET support?

MONET supports all tabular data, which is data that is structured in a table format and consists of rows and columns.

Does data need to be in a specific format to use MONET?

The only requirement is that tabular data must have a single header row containing column names.

How do I upload data to MONET?

Data can be uploaded to MONET by CSV or Excel file upload. If you would like to connect more data sources to MONET, please Contact Us.

How is my data protected in MONET?

1. MONET uses Enterprise-grade Large Language Models (LLMs) that are pre-trained with publicly available information and do not have any customer private data

2. The data seen by an LLM within MONET is metadata (including column and file names), not actual values

3. Customer prompts and answers are not available to other customers.

4. Customer prompts and answers are not used to train or improve models, and the models do NOT learn from customer usage. We may look at general usage patterns to improve our models.

5. Customers retain all rights to all the inputs they provide via MONET

6. MONET runs in a highly secure MS-Azure cloud environment. Azure is SOC2 Type 2 certified.

7. Canvass AI is currently pursuing its own SOC2 certification

8. All data in MONET is encrypted at rest (AES-256) and in transit (TLS 1.2+)

Does MONET only work with industrial data?

MONET works with data from any industry. While MONET was developed with a focus on industrial data, it can be used for any sector that works with tabular data.

What data visualizations does MONET support?

MONET supports 20+ types of data visualizations, including scatter plots, line charts, bar charts, pie charts, box plots, histograms, regression charts, and heatmaps. Users can ask MONET to create specific visualizations or let MONET pick the data visualization most appropriate for the request.

What types of models does MONET support?

MONET can build linear and tree-based models.

Can MONET be used to analyze certain periods of time?

Yes, MONET can be used to analyze or visualize certain periods of time. To do so, simply specify the period of time you would like to analyze in your prompt, for example “What is the correlation between Internal Pressure and Steam Generation from March 5, 2023 to March 5, 2024?”

How do I share my findings from MONET with teammates?

MONET enables you to download individual data visualizations or entire sessions. You can share these downloaded files with your colleagues.

What LLM is MONET built on?

MONET is built on GPT-4o.

How does MONET licensing work?

MONET has a per seat license models with pro, teams, and enterprise license tiers.

Is there a free trial for MONET?

Yes, MONET offers a 2-week free trial.

How is MONET different from ChatGPT?

1. Data Visualization: Data visualizations in MONET are interactive, including features enabling users to zoom into specific time periods and hover states to see values at specific points. Data visualizations in ChatGPT are not interactive.

2. File Size: MONET is designed to be used with large datasets and can support file uploads up to 1GB. ChatGPT supports file uploads up to 100MB.

3. Specialized Agents: MONET has a network of specialized agents, each programmed to accurately complete a step in the data analysis and modeling workflow. ChatGPT does not have specialized agents.

4. Automatic Data Cleaning: MONET will automatically drop any columns with >30% missing values before creating models of the data. ChatGPT does not automatically clean data for modeling.

5. Reporting: MONET enables users to download sessions and share them with colleagues. ChatGPT does not able users to download sessions.

6. Modeling: MONET can be used to train linear and tree-based models. Tree-based models are often necessary to model complex relationships between variables. ChatGPT can only be used to train linear models.

7. Templates (coming soon): MONET includes templates for solving common use cases. ChatGPT does not include templates for common problems.

How is MONET different from Excel CoPilot?

1. Data Visualization: Data visualizations in MONET are interactive, including features enabling users to zoom into specific time periods and hover states to see values at specific points. Data visualizations with Excel CoPilot are not interactive.

2. File Size: Monet is designed to be used with large datasets and can support file uploads up to 1GB. Excel Copilot can only be used with files that contain less than 2 million cells (these files typically range from 5-30 MB).

3. Specialized Agents: MONET has a network of specialized agents, each programmed to accurately complete a step in the data analysis and modeling workflow. Excel Copilot does not have specialized agents.

4. Automatic Data Cleaning: MONET will automatically drop any columns with >30% missing values before creating models of the data. ChatGPT does not automatically clean data for modeling.

5. Supported Files: MONET works with any CSV or Excel file. Excel Copilot only works with Excel files that are stored in Onedrive or Sharepoint.

6. Querying Across Files: MONET enables users to easily query multiple files simultaneously. In Excel Copilot, querying multiple files requires a foundational understanding of the XLOOKUP( ) function and its functionality.

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