PrepPilot 4.0 — 417 AI Handlers + Auto ML Training

The AI Data
Platform for Preparation

Upload any dataset. Chat with AI agents that analyze, clean, visualize, and prepare your data for machine learning — with 417 pre-built handlers, Auto ML training, and interactive Plotly charts.

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Built with industry-leading technologies

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Pre-built handlers
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AI categories

Platform

AI does the work.
You make the decisions.

Upload your dataset, chat with the AI agent, and get production-ready data. The planner analyzes your intent and routes to the best handler automatically.

🧹

Smart Data Cleaning

AI analyzes your dataset, identifies quality issues, and executes 50 cleaning operations automatically.

50 handlers
📊

Interactive Visualization

50 Plotly chart types with smart selection — the AI picks the right chart based on your data and intent.

50 chart types
🧠

Deep Analysis

From clustering to A/B testing, bootstrap CI to anomaly detection — advanced analytics without writing code.

50 analysis handlers
📝

NLP & Text Processing

Tokenization, TF-IDF, sentiment analysis, text chunking, and 45 more NLP operations for text data.

50 NLP handlers
analysis.py
# PrepPilot AI Agent
from preppilot import Agent
 
agent = Agent(dataset="housing.csv")
 
# AI automatically selects the right handler
result = agent.chat("show price distribution")
# → handler: viz.histogram
# → chart: interactive Plotly
 
result = agent.chat("clean and prepare for ML")
# → step 1: clean.fill_nulls
# → step 2: transform.encode_label
# → step 3: transform.scale_standard
# ✓ Dataset ready for training

Solutions

Built for every AI
vertical that matters.

01
📈

Data Analysis

Ask questions in natural language. Get instant statistics, correlations, and insights across 50 statistical tests.

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02
🧹

Data Cleaning

AI-driven auto-cleaning: fix types, fill nulls, remove duplicates, handle outliers — one command.

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03
📊

Visualization

50 chart types from bar to Sankey diagrams. AI picks the best visualization for your question.

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04
🔬

Feature Engineering

PCA, encoding, transforms, interaction features — 50 handlers to prepare features for ML.

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05
📝

NLP & Text

Process text data: tokenize, vectorize, analyze sentiment, extract keywords — 50 NLP operations.

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06
🎯

ML Preparation

End-to-end pipeline: clean → encode → scale → split. Get train/test sets ready in seconds.

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“PrepPilot replaced our entire data preprocessing pipeline. What used to take days now takes minutes with 417 AI-powered handlers and Auto ML training.”

PrepPilot

PrepPilot

AI-Powered Data Science Platform

Start preparing
with better data.

417 handlers across 7 categories. Upload your dataset, train ML models, and let AI handle the rest.

Get Started Free →