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Made in ES Spain AI tools for Data Science

Graphext — AI for Data Science & Advanced Predictive Analytics

Visually explore complex datasets and uncover hidden insights with AI-powered graph analysis and data enrichment.

Bring messy data from anywhere, segment conversations, identify trends, and build contextual models in minutes.

Best forAI for Data Science
DifferentiatorCombines no-code visual graph analysis with AI-powered text enrichment in one platform.
ProofUse cases include analyzing support tickets, survey data, and social media. Outputs via API.
Explore Graphext
Pricing on request
6.9 Zekai
Visual Exploratory Data Analysis
AI for Data Science & Advanced Predictive Analytics
Ease of Use
7.2
Accuracy
7.2
Value
6.6
Time Saving
6.4
Visual EDAGraph AnalysisAI Text MiningNo-CodeAPI Access
📊 Independently reviewed and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026
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Zekai Verdict

What is it?
Graphext is a visual data exploration platform for data scientists.
Best for
Best for data scientists focused on exploratory data analysis (EDA) and pattern discovery in unstructured text and…
Not ideal for
Pricing is not publicly available, requiring a sales demo to get started.
Price
Pricing on request
Zekai Score
6.9/10
Visit official site ↗Compare alternatives →Why this score →
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Hand-scored by Zekai

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⚡ Quick answer

For data scientists needing to perform rapid exploratory data analysis, Graphext is a standout AI tool. It excels at transforming complex, unstructured data from sources like support tickets into interactive visual graphs, using AI to automatically find patterns, topics, and sentiment. This no-code approach significantly accelerates the discovery phase of a project.

CategoryVisual Data Exploration
Best ForData scientists performing exploratory analysis on complex or unstructured data.
Price FromOn request
FreeNo
DifferentiatorCombines no-code visual graph analysis with AI-powered text enrichment in one platform.
ProofUse cases include analyzing support tickets, survey data, and social media. Outputs via API.
Rating6.9/10
📖 About Graphext

Graphext is a visual data exploration platform for data scientists. It combines AI-powered analysis, graph technology, and advanced plotting to transform complex, messy data from sources like CRMs and support tickets into actionable visual insights.

How It Works

Your workflow, automated

1
Connect Your Data
Bring in messy and complex data from anywhere, including tables or your CRM.
2
Explore Visually
Use graphs, advanced plotting, and cross-filters to navigate relationships and segment data.
3
Enrich with AI
Leverage AI chat, sentiment analysis, and data enrichment to uncover deeper insights and patterns automatically.
Ready to automate your workflow with Graphext?
Explore Graphext →
Real Impact

Before & After

❌ Before

Manually cleaning, structuring, and writing scripts for exploratory analysis of messy, unstructured data.

Days of manual scripting
✅ After

Instantly visualize complex relationships, trends, and sentiment in your data through an interactive, no-code interface.

Insights in minutes
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Analyze Social Media Sentiment

Analyze brand sentiment from social media posts. Input a dataset of social media mentions and identify key topics, audience sentiment, and emerging trends. Use AI to extract sentiment and understand public perception.

Segment Survey Respondents

Segment survey respondents to find drivers of CSAT/NPS. Upload survey data and use Graphext's AI to identify patterns in responses, segmenting respondents based on their feedback and satisfaction scores.

Identify AI Support Chat Escalations

Identify escalation drivers in AI support conversations. Input chat logs and leverage AI to segment conversations, pinpointing common issues that lead to escalations and understanding customer pain points.

AI Prompts

Prompts for Data Science

Prompt 01 Comprehensive Data Profile
Act as a data quality analyst. I am providing you with a pandas DataFrame named `df`. Its schema is as follows: `[[PASTE SCHEMA OR HEAD() OUTPUT HERE]]`. Your task is to perform a comprehensive data profiling. For each column, provide: 1. D…
Prompt 02 Missing Value Imputation Plan
has missing values. Here is the output of
Prompt 03 Outlier Detection Script
Generate a Python script that uses the Interquartile Range (IQR) method to identify outliers in the following numeric columns of a pandas DataFrame `df`: `[[LIST_OF_NUMERIC_COLUMNS]]`. The script should: 1. Calculate Q1, Q3, and IQR for eac…
See all 50 AI prompts for Data Science →
Social Proof

Trusted by professionals

Ease of Use
7.2
Accuracy
7.2
Value
6.6
Time Saving
6.4

"Graphext has completely changed our approach to EDA. What used to take days of Python scripting to analyze customer feedback now happens in an afternoon. The visual interface is incredibly intuitive."

Alex K., Data Scientist · June 2026

"We used it to segment survey respondents and finally understood the real drivers behind our NPS scores. Being able to visually cluster users is a game-changer for product strategy."

Maria P., Product Manager · May 2026

"A powerful tool for topic modeling on social media data. The graph visualizations are top-notch, though I wish there were more transparent pricing tiers instead of having to go through a demo process."

Samir J., Market Researcher · April 2026

"Identifying escalation drivers from support tickets went from a chore to a discovery process. The AI sentiment analysis is surprisingly accurate and saves us countless hours."

Chen L., CX Analyst · March 2026
See Plans & Pricing →
Connects With

Graphext integrations

CRM systems Databases (via table inputs) Custom APIs
Setup complexity: Intermediate
Graphext is a visual data exploration platform for data scientists. It combines AI-powered analysis, graph technology, and advanced plotting to transform complex, messy data from sources like CRMs and support tickets into actionable visual insights.
Comparison

Best Graphext alternatives

Graphext vs. Tableau: Choose Graphext for its specialized, AI-driven exploratory features, especially with unstructured text and graph-based analysis. Its no-code AI enrichment and pattern discovery are designed to accelerate the initial 'what is in the data?' phase. Opt for Tableau when your primary goal is creating polished, shareable BI dashboards and reports from structured data for a broader business audience. Tableau is a comprehensive BI suite, whereas Graphext is a targeted EDA tool for data scientists.

You need a full-scale business intelligence (BI) platform with dashboarding and reporting (e.g., Tableau).
You prefer a code-first environment and want to build custom EDA scripts from scratch in Python/R.
Your primary need is model deployment and MLOps, not just exploratory analysis.
The decision

Is Graphext worth it?

Return on investment
By automating the manual scripting required for exploratory data analysis, a data science team can save dozens of hours per project, justifying the investment after a single major analysis.
Built for
Data Analysts, Data Scientists, Product Managers, and Market Researchers who need to quickly explore complex datasets without extensive coding.
Effort to adopt
Intermediate
Compliance
Graphext is compliant with SOC2, ISO, and GDPR, as stated on their website.
Who It's For

Why Data Science & Advanced Predictive Analytics choose this tool

🎯
Built for
Best for data scientists focused on exploratory data analysis (EDA) and pattern discovery in unstructured text and structured data.
In-Depth Overview
For data scientists, the initial exploratory data analysis (EDA) phase is often the most time-consuming, involving extensive scripting to clean, structure, and understand complex datasets. Graphext directly addresses this bottleneck by replacing manual code with a powerful, visual, no-code interface. Instead of just generating static charts after analysis, Graphext makes exploration itself an interactive, visual process. You can upload raw data from support tickets, surveys, or CRMs and immediately begin to see relationships using its core graph technology. The platform's strength lies in its integrated AI features. AI Data Enrichments and sentiment extraction automatically augment your dataset, while the AI Chat allows you to query your data using natural language. This is particularly effective for unstructured text analysis, allowing you to segment customer conversations, identify NPS drivers, or map emerging trends in news and social media. As proof of its place in a professional workflow, Graphext can ingest data from tables and CRMs and export results via its API, fitting directly into your existing data stack.

Key Use Cases

🔬
Identify Customer Frustration Drivers from Support Tickets
Data Scientist
Upload raw support chat logs and use Graphext's AI to automatically segment conversations, extract sentiment, and visually identify key topics driving escalations.
Reduced manual analysis time
✓ Pros
Transforms complex, messy data into intuitive visual insights.
No-code interface accelerates exploratory data analysis.
Analyzes unstructured text from sources like support tickets and surveys.
Combines graphs, AI chat, and plotting in one platform.
Supports API output for integration into other workflows.
· Cons
Pricing is not publicly available, requiring a sales demo to get started.
Primarily focused on exploration, not a full-scale model deployment or BI tool.
Learning curve may exist for users unfamiliar with graph-based analysis.
Reliance on a demo for access can slow down initial adoption.
⚡ Editorial Verdict

Graphext excels at rapidly turning messy, multi-source data into interactive visual networks, making complex relationships intuitive. Its strength is in accelerating exploratory analysis, but it's less of a full-scale BI or model deployment platform. The opaque pricing model, which requires a demo, is a notable trade-off for teams wanting to self-serve.

See all 152 AI tools for Data Science → Browse the AI Directory →
Questions & Answers

Frequently asked questions

What types of text data can I analyze with Graphext?

+
Graphext is designed to analyze various forms of unstructured text. The website highlights use cases for customer support tickets, surveys, news, and social media content.

Do I need coding or data science skills to use Graphext?

+
The platform is built around a visual, no-code interface, making it accessible without deep coding skills. However, a foundational understanding of data science concepts is beneficial to maximize its potential.

How does Graphext find patterns in my data?

+
Graphext uses a combination of AI, graph technology, and advanced plotting with cross-filters. This allows it to visually connect entities and reveal relationships, clusters, and trends that are often hidden in raw data tables.

Can I connect Graphext to my existing tools?

+
Yes, the platform can ingest data from tables and CRMs. It also provides outputs via a user interface and APIs, allowing for integration with your existing data stack and workflows.

What is the best AI tool for visual data exploration?

+
Graphext is a leading AI tool for visual data exploration, allowing data scientists to transform complex data from sources like CRMs or support tickets into interactive visual graphs. Its AI-powered features for sentiment analysis and pattern discovery accelerate insight generation without requiring code.

How can AI help with exploratory data analysis of unstructured text?

+
AI tools like Graphext streamline exploratory data analysis (EDA) of unstructured text by automatically performing tasks like sentiment analysis, topic modeling, and entity extraction. This allows you to visually map relationships and identify key themes in large volumes of text, such as customer feedback or social media posts, in minutes instead of days.

Last reviewed:

Plans & Pricing

Graphext pricing and plans

Pro
Pricing on request
A personalized demo is required to get pricing information.
Start Pro Plan

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with Graphext for Visual Data Analysis
  • **Unlock Insights from Messy Data:** Learn how Graphext transforms complex datasets into clear, visual stories.
  • **AI-Powered Text Analysis:** Discover how to automatically extract sentiment and topics from customer feedback.
  • **Graph-Based Exploration:** Master the art of using network graphs to uncover hidden relationships.
  • **No-Code Workflow:** Go from raw data to actionable insight without writing a single line of code.
  • **Integrate with Your Stack:** See how to connect Graphext to your CRM and export findings via API.
+3 more steps inside the guide
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About Graphext

Full Description

Graphext is a visual data exploration platform for data scientists. It combines AI-powered analysis, graph technology, and advanced plotting to transform complex, messy data from sources like CRMs and support tickets into actionable visual insights.

Editorial Verdict

Graphext excels at rapidly turning messy, multi-source data into interactive visual networks, making complex relationships intuitive. Its strength is in accelerating exploratory analysis, but it's less of a full-scale BI or model deployment platform. The opaque pricing model, which requires a demo, is a notable trade-off for teams wanting to self-serve.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Graphext unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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