AI agents that turn data into analytics in minutes.

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May 22, 2026

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PlotStudio AI

United States AR5 Labs Data analysis

533

5.0(2)

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AI agents that turn data into analytics in minutes.

Advanced Analytics Automatic Report Generation AI Agents Data Analytics Data Analysis Data CleaningFree + from $58.33/mo

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Overview

PlotStudio AI is an agentic analytics platform that allows users to upload diverse data and transform it into comprehensive analytical reports. It utilizes artificial intelligence agents to execute various analytics tasks, offering a solution for data profiling, executive summary generation, and story angles creation.

As part of its data cleaning process, AI develops a plan determining what to discard, retain, and the underlying rationale. By segmenting AI analytics in this way, users can understand the reasoning and decisions made during the analysis.PlotStudio AI plans and carries out the investigations, writes Python codes to implement these plans, corrects itself, and interprets the results.

Its unique approach lays out transparency at every step, presenting the reasoning, code, and decisions made. This process generates artefacts such as plots, tables, and derived datasets.Furthermore, PlotStudio AI generates permanent analysis pages instead of short-lived chat replies.

These pages curate tables, charts, statistical tests and interpretations into a structured document which serves as an analytical aid that remembers past pages and builds on prior findings.The tool also offers Domain Intelligence, auto-detecting relevant fields or allowing users to select up to two domains.

It applies appropriate methodologies automatically and upgrades to stronger models when needed. For data privacy, PlotStudio AI does not have access to the user's data.

AI calls are made directly from the user's machine to the model provider. It also offers the ability to export reports as PDF or Jupyter notebooks which includes all code and outputs for full reproducibility.

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May 22, 2026

Initial release of PlotStudio AI.

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Aymen Rumi

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AR5 Labs

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United States AR5 Labs Data analysis

533

5.0(2)

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Pros and Cons

Pros

Immediate data quality assessment

Transparent chain-of-thought

Generates Python code

Produces permanent analysis page

Remember previous work

Offers domain intelligence

Adapts to two domains

Supports twelve specializations

Data privacy prioritized

No access to user data

Convenient export options

PDF reports with charts

Formatted tables

Rendered LaTeX equations

Offer Jupyter notebook export

Reproducibility of analysis

Autonomous execution of analytics tasks

Different data segmentation

Transparent reasoning and decisions

Generates diverse analytical artefacts

Workspace remembers past pages

Automatic method application

Auto-detects relevant fields

Can upgrade to stronger models

Call to models made directly

User's machine to model provider

Includes story angles creation

Generates executive summary

Offers specialized work approach

In-depth investigation capability

Real-time correction feature

Replaces entire analytics stack

Generates cross-analysis insights

Offers verification mode

Provides data lineage

Interactive column explorer

Rapid analyses execution

Combines various tools in one

Offers a free trial

View 34 more pros

Cons

Limited to two domains

No direct access to data

Requires data upload for analysis

No real-time chat support

Could oversimplify complex data

Assumes data quality upon upload

Pre-determined cleaning plan

No custom data transformation

Auto-generated Python code only

Relies on previous work

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Q&A

What functions can PlotStudio AI perform that traditionally require a data analyst?

PlotStudio AI can perform various functions that traditionally require a data analyst such as data profiling, analysis, and synthesis. It conducts a swift data quality assessment upon data upload and categorizes it as 'clean', 'usable', or 'needs cleaning'. It then outlines and implements a data cleaning plan during the course of the analysis. Leak with agentic analysis, PlotStudio AI allows for an in-depth investigation, writing Python code autonomously, interpreting results, and maintaining a visible chain-of-thought at each step.

How does PlotStudio AI perform data profiling?

PlotStudio AI performs data profiling by immediately evaluating the quality of uploaded data. Using AI agents, it assigns a quality score categorizing the data as 'clean', 'usable', or 'needs cleaning'. From this evaluation, PlotStudio AI formulates a data cleaning plan and later executes it during the analysis phase.

What is the process of data assessment by PlotStudio AI?

The process of data assessment by PlotStudio AI begins immediately upon uploading the data. It then tags the data quality as 'clean', 'usable', or 'needs cleaning'. Based on this tagging, PlotStudio AI outlines a data cleaning plan and implements it during the analysis phase.

What is 'agentic analysis' in PlotStudio AI?

'Agentic analysis' is a unique characteristic of PlotStudio AI. It allows for in-depth investigations with the AI actively participating in each step of the analytical process. It includes writing Python code, executing it, interpreting results, and showing a transparent chain-of-thought throughout every step. This ultimately provides a thorough and deep understanding of the data under analysis.

How does PlotStudio AI generate Python code?

In an 'agentic analysis', PlotStudio AI employs AI agents to write Python code as part of the analysis process. Lupe has the ability to decide what kind of analysis needs to be performed based on the question posed and then uses Python, a programming language widely adopted in data science, to execute the selected statistical tests and data analysis techniques.

How does the AI interpret the results and exhibit a chain-of-thought?

PlotStudio AI interprets results and exhibits a chain-of-thought through its agentic analysis process. The AI performs the investigation, executes Python code, self-corrects, and interprets the results - displaying transparency at every step. This includes presenting the reasoning, code, and decisions as they occur, providing a clear overview of the AI's thought process during the analysis.

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What kind of specialisations does PlotStudio AI offer in its domain intelligence feature?

PlotStudio AI offers domain intelligence, a component that caters to specialized work. The platform identifies the user's field from their data or lets users choose up to two relevant domains from a selection of twelve specializations. This enables the application of suitable domain-specific methods during the analysis process.

What does it mean when it says PlotStudio AI detects my field from my data?

When PlotStudio AI says it detects your field from your data, it means that the AI can identify the specific domain or industry relevant to the data you have uploaded. This automatic field detection capacity allows the AI to apply the appropriate domain-specific methods during data analysis.

How does PlotStudio AI ensure data privacy?

PlotStudio AI ensures data privacy by not having any access to the user's data. The AI operates directly on the user's machine and does not store or have any form of access to the data. For enterprise teams, there is an option to connect their Azure OpenAI instance for full data sovereignty.

What are the options to export findings provided by PlotStudio AI?

PlotStudio AI offers convenient options to export findings. Users can generate PDF reports complete with embedded charts, formatted tables, and rendered LaTeX equations. There is also an option to export as a Jupyter notebook for full work reproducibility.

Can I generate PDF reports with PlotStudio AI, and if yes, what are the elements included in the report?

Yes, with PlotStudio AI, you can generate PDF reports that include embedded charts, formatted tables, and rendered LaTeX equations. These reports provide a comprehensive overview of the data analysis undertaken, presenting findings in an easy-to-understand and visually appealing manner.

Can I export the results as a Jupyter notebook for full reproducibility?

Yes, PlotStudio AI provides an option to export the results as a Jupyter notebook. This facilitates complete reproducibility of the work, enhancing transparency and making the process understandable and repeatable by others.

Is the output of the analysis by PlotStudio AI permanent and how can it be accessed?

PlotStudio AI generates a permanent analysis page for each question input. It compiles tables, charts, statistical tests, and interpretations in a structured document. This analytical workspace retains each page, allowing for cumulative knowledge building on previous work.

Does PlotStudio AI offer the feature of embedding tables, charts and LaTeX equations in the reports?

Yes, PlotStudio AI offers the feature of embedding tables, charts, and LaTeX equations in the reports. This integration allows for a comprehensive and well-structured analysis report that is visually expressive and comprehensible for the users.

Does PlotStudio AI have the capability to run statistical tests?

Yes, PlotStudio AI possesses the ability to conduct statistical tests. It uses AI agents to perform these tests as part of its agentic analysis. By doing so, it acts as a robust tool, delivering analytic insights and findings in a cohesive report.

How does the learning system work in PlotStudio AI?

PlotStudio AI has incorporated a learning system that builds on its previous work. It keeps record of every analysis page and builds new work on these prior findings. This means that the analytical workspace remembers each page, creating a systematic approach towards cumulative knowledge building.

What exactly is domain specialization in PlotStudio AI?

Domain specialization in PlotStudio AI refers to the tool's ability to conduct specialized work in a selected field. PlotStudio AI can auto-detect the field from the user's data or allow users to pick up to two relevant domains from a list of twelve specializations. By doing so, it applies the appropriate methodologies unique to these domains.

How does PlotStudio AI assess the quality of the uploaded data and mark it?

Upon uploading data, PlotStudio AI carries out an immediate assessment of its quality. It then classifies the data under one of three categories: 'clean', 'usable', or 'needs cleaning'. This classification serves as the basis for PlotStudio AI's data cleaning plan set forth for the analysis.

Does PlotStudio AI provide the feature of selecting up to two relevant domains from twelve specializations?

Yes, PlotStudio AI offers a feature that allows users to select up to two relevant domains from a list of twelve specializations. This feature is part of the platform's domain intelligence, enabling the application of suitable methods based on the selected specialisation for a more accurate and in-depth analysis.

What does the data cleaning plan outlined by PlotStudio AI comprise of and how is it executed?

The data cleaning plan outlined by PlotStudio is determined from the assessment of the uploaded data's quality. Based on whether the data is labelled as 'clean', 'usable', or 'needs cleaning', PlotStudio designs a plan that specifies what data needs to be dropped or preserved. It then executes this plan during the analysis phase, ensuring the data used is optimized for generating accurate insights.

What is PlotStudio AI?

PlotStudio AI is an advanced analytics platform that leverages artificial intelligence to transform raw data into comprehensive analytical reports. This agentic analytics platform allows users to upload diverse data, evaluates the quality of the data, and then creates data strategies that include cleaning and analysis. The AI writes Python code, executes the plan, and interprets the results, providing a transparent chain of thought at each step.

What tasks can PlotStudio AI perform?

PlotStudio AI can perform tasks like data profiling, analysis, synthesis, and data cleaning. It can also write Python codes, interpret results, generate permanent analysis pages, carry out domain-specific analysis with domain intelligence, and handle data privacy by keeping users' data inaccessible. It can export findings in a variety of formats and offers comprehensive solutions for data transformation, data segmentation, automated report generation, data interpretations, model upgrades, and insights generation.

How does PlotStudio AI assess the quality of data?

PlotStudio AI assesses the quality of uploaded data by evaluating and categorizing it as 'clean', 'usable', or 'needs cleaning'. It makes this assessment immediately upon data upload.

What is the 'agentic Analysis' in PlotStudio AI?

Agentic Analysis in PlotStudio AI refers to the process where AI agents plan the investigation, write Python code, execute the plan, and interpret the results. It is unique in that it provides a transparent chain-of-thought at each step, allowing users to see the AI's reasoning, code, and decisions.

What kind of result does PlotStudio AI provide?

PlotStudio AI delivers a permanent analysis page that amalgamates tables, charts, statistical tests and interpretations into a structured document. This analytical workspace remembers each page, building on previous work.

How does PlotStudio AI handle specialized work?

PlotStudio AI handles specialized work through its Domain Intelligence feature. It auto-detects the relevant fields from the user's data or allows users to select up to two relevant domains from twelve specializations. The tool then applies the appropriate methodologies and upgrades to stronger models when necessary.

What is PlotStudio AI's stance on data privacy?

PlotStudio AI prioritizes data privacy by never accessing, storing, or seeing user data. AI calls are made directly from the user's machine to the model provider, providing an additional layer of security for sensitive information.

How can I export finding from PlotStudio AI?

Findings from PlotStudio AI can be seamlessly exported as PDF reports with embedded charts, formatted tables, and rendered LaTeX equations, as well as in a Jupyter notebook. This enables easy sharing of findings and ensures full reproducibility of the analysis.

What is unique about PlotStudio AI's approach to data cleaning?

PlotStudio AI has a unique approach to data cleaning in which the AI, upon assessing the data quality, outlines a data cleaning plan. The AI determines what to discard and what to retain and provides reasoning for each decision. Then it executes this cleaning plan during the analysis.

How does PlotStudio AI use Python code?

PlotStudio AI utilizes Python code in planning and performing the investigations. It writes the Python program itself to implement the data analysis plan, execute it, and then corrects and interprets the results.

How does the permanent analysis page in PlotStudio AI work?

PlotStudio AI generates permanent analysis pages that serve as structured documents, curating tables, charts, statistical tests, and interpretations. Instead of short-lived chat replies, these analysis pages provide lasting records of the AI's work, which allow continued building on previous findings.

What domains can I choose from in PlotStudio AI?

Users can choose from twelve unique domains or areas of specialization in PlotStudio AI. The AI can either auto-detect the relevant domains from the data, or the user has the option to select up to two appropriate domains.

What is the purpose of the transparency in PlotStudio AI?

Transparency in PlotStudio AI is crucial as it provides users a clear understanding of each step in the analysis, including the reasoning, code and decisions made by the AI. This fosters trust and allows users to follow along with the AI's thought process.

What is the significance of the structured document in PlotStudio AI?

The structured document in PlotStudio AI, also known as an analysis page, serves as a comprehensive record of the AI's analysis. It includes tables, charts, statistical tests, and interpretations, all curated and organized in a logically structured manner. This allows for easy review and understanding of the analysis conducted.

How does PlotStudio AI handle model upgrades?

In PlotStudio AI, model upgrades occur as part of its Domain Intelligence feature. When domain expertise is necessary, the tool automatically upgrades to stronger, more applicable models.

What are the export options in PlotStudio AI?

PlotStudio AI allows user-friendly export options. You can export complete analytical findings as a fully formatted PDF report with embedded charts, tables, and rendered LaTeX equations, or as a Jupyter notebook that includes all code and output for full reproducibility.

How does PlotStudio AI handle data segmentation?

PlotStudio AI supports data segmentation as part of its analysis process. This allows for various subsets of data to be analyzed independently, providing more specific, detailed, and relevant insights.

Can PlotStudio AI generate executive summaries?

Yes, PlotStudio AI can generate executive summaries. These summaries provide broad overviews of analysis work, offering high-level insights and conclusions.

What does it mean by PlotStudio AI 'writes Python'?

When it is said that PlotStudio AI 'writes Python', it means the AI itself formulates the Python code necessary to conduct the analysis steps. It also executes and interprets these Python codes, providing a level of automation and efficiency.

How does PlotStudio AI ensure reproducibility of tasks?

PlotStudio AI ensures reproducibility of tasks by recording all steps of the analysis process in a permanent analysis page. Analyses can be exported as Jupyter notebooks which include all code and output. This element of reproducibility is essential for auditing, troubleshooting, and building upon previous work.

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