The Co-inventor for Discovery

Turn your data and a question into a complete, ready-to-use solution: executed notebooks, EDA reports, trained models, and deployment-ready code.

Upload Data
CSV, JSON, PY
AI Analysis
EDA + ML Models
Ready Results
Notebooks + Code
Interactive Notebooks
✓ Executed & Ready
Production Code
✓ Deployment Ready
Research Integration
✓ Latest Methods
🤖 AI
⚡ Fast
📚 Research

What You Actually Get

Don't just generate code – get complete, executed solutions ready to use

Executed Jupyter Notebook

Upload Data + Prompt: Send your CSV and describe what you want to analyze.

Get Executed Results: Receive a fully-run notebook with completed EDA, trained models, and publication-ready charts.

No Local Setup: Everything runs in the cloud. Download and use immediately, or continue building on our platform.

sales_analysis.ipynb
✓ Data loaded (2,547 rows)
✓ EDA completed
✓ Model trained (92.3% accuracy)
✓ Charts generated
✅ Ready to Execute

Interactive Chat-Based Iteration

Live Collaboration: Chat with your generated notebook to refine analysis, add new features, or explore different approaches.

Iterative Development: Request modifications, additional visualizations, or model improvements through natural language.

Real-time Updates: See changes executed instantly as you iterate on your data science workflow.

Add correlation heatmap for top features
✓ Created heatmap showing price & size strongly correlate (0.87)
Now try Random Forest instead of linear regression
✓ Random Forest trained: 94.7% accuracy vs 82.1% linear
🔄 Interactive Analysis

Instant Scaffold Python Code

Complete Repository: Get a full project structure with requirements.txt, Dockerfile, preprocessing scripts, and deployment configs.

Production-Ready: Every component follows best practices and is ready for collaboration and deployment.

Git Init & Go: Clone the generated repo and start building with your team immediately – no setup headaches.

📁 ml-project/
📄 requirements.txt
🐳 Dockerfile
📁 src/
🐍 train.py
🐍 predict.py
📁 notebooks/
📓 analysis.ipynb
📁 api/
⚡ app.py
🚀 Production Ready

Search Latest Papers & Research

Research Integration: Access and incorporate findings from the latest academic papers and research publications.

Method Discovery: Find cutting-edge techniques and methodologies relevant to your specific analysis needs.

Evidence-Based Approach: Build solutions grounded in the most current scientific literature and best practices.

Attention Is All You Need
Vaswani et al. • 2017 • 65,847 citations
BERT: Bidirectional Encoder...
Devlin et al. • 2018 • 45,231 citations
GPT-4 Technical Report
OpenAI • 2024 • 8,432 citations
📚 Research-Backed

From Hours to Minutes, For Every Data Role

Skip the tedious setup and debugging. Get straight to insights and results.

Research

Data Scientists

From raw data to research insights

Skip the tedious setup. Upload your data, describe your hypothesis, and get a fully executed notebook with EDA, model training, and publication-ready visualizations.

Automated EDA with insights
🤖 Multiple ML models trained & compared
📚 Latest research methods integrated
Deploy

ML Engineers

Zero to production ready

Get complete project scaffolds with Docker setup, requirements.txt, and clean, modular code. No more wrestling with project structure or deployment setup.

🐳 Docker & Kubernetes ready
🔧 Clean, modular Python structure
⚙️ Training & prediction scripts
Insights

Data Analysts

From spreadsheets to boardroom

Turn spreadsheets into compelling stories. Get executive-ready insights, beautiful visualizations, and clear recommendations without touching code.

📊 Professional visualizations generated
🎯 Key insights automatically surfaced
📈 Presentation-ready charts
Strategy

Product Managers

Rapid hypothesis validation

Make data-driven decisions without waiting for engineering. Test hypotheses, analyze user behavior, and prototype ML features instantly.

💡 Rapid hypothesis testing
👥 User behavior analysis
🚀 Feature impact prediction

3 Simple Steps, Unlimited Possibilities

What used to take days of setup, debugging, and iterations now happens in minutes

01
Quick

Upload & Ask

Drop your data file and describe your goal in natural language. No technical jargon needed.

Example: "Analyze customer churn and predict which customers are likely to leave"
📊 sales_data.csv
✓ Data loading & cleaning
✓ Exploratory analysis
✓ Model training
⏳ Generating insights...
02
Few minutes

AI Does the Heavy Lifting

Our AI handles data cleaning, EDA, model selection, training, validation, and visualization generation.

🔍 Automated data exploration
🤖 Multiple ML algorithms tested
📊 Professional visualizations
📚 Latest research applied
03
Instant

Get Complete Solutions

Download executed notebooks, production code, deployment configs, and interactive reports.

📓
Executed Jupyter Notebook
🐍
Clean Python Scripts
🐳
Docker Setup
📊
Analysis Reports
analysis.ipynb
✅ Ready
report.html
✅ Ready
deploy
✅ Ready

🚀 The Result?

From raw data to working ML solution in minutes. Skip the tedious setup, reduce debugging time, and get closer to production-ready code.

Faster time to insights
🔧 Less manual setup
🎯 Focus on your data, not code

Why Generic AI Tools Fall Short for Data Science

Data science isn't just about generating code - it's about getting answers from data. Here's why that matters.

Standard Approach

Generic Code Agents

Great for software development

"Analyze my customer data for churn prediction"

📝 Raw Python code snippets
No data loaded or processed
🔧 Debugging and setup required
No insights or answers
The Solution

WisBot Data Science Engine

Purpose-built for data science

"Analyze my customer data for churn prediction"

📊 Complete analysis with insights
🤖 Trained churn prediction model
📈 Professional visualizations
🎯 Actionable recommendations
⚙️ Zero-setup cloud environment
💡

The Key Difference

Data science is about getting answers from data, not just writing code. WisBot delivers complete solutions with actual results, insights, and trained models - not homework for you to complete.

Contact Us

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