Your AI Research Assistant for Publication-Ready Papers
StatsPAI empowers researchers with AI-assisted tools for paper outline planning, literature review synthesis from uploaded PDFs, and rigorous statistical modeling — dramatically accelerating your path from data to publication.
Traditional empirical research requires literature review, data cleaning, statistical modeling, and full paper writing — a tedious and time-consuming process. StatsPAI's AI assistant works alongside you — helping structure your paper outline, generate 100% reliable literature reviews, build econometric models, refine your analysis, generate fully formatted papers, and provide Python/R/Stata code for full reproducibility. Let AI handle the tedious groundwork so you can focus on research and innovation, gaining insights into the past, present, and future.
Bryce Wang @Stanford REAP
Founder & CEO
Researcher and engineer focused on Agentic AI and statistical empirical analysis. Author of "Building Intelligent Agents with LangGraph".
Expertise
Scott Rozelle, PhD @Stanford REAP
Cofounder & Strategic Advisor
Helen F. Farnsworth Senior Fellow at Stanford University and Faculty Co-director of the Stanford Center on China's Economy and Institutions. Leading expert on agricultural policy, rural development, and education economics in China. Author of "Invisible China" and recipient of China's Friendship Award.
Expertise
Our Mission
We believe empirical research should be accessible to everyone. By combining cutting-edge AI technology with deep statistical expertise, we're removing the technical barriers that prevent researchers from focusing on what matters most: asking the right questions and interpreting results.
Democratization
Making professional research tools accessible to researchers worldwide
Quality
Maintaining the highest standards of statistical rigor and methodology
Innovation
Pushing the boundaries of what AI can achieve in empirical analysis
Two Platforms, One Mission
From learning to professional research - we support your entire journey in data science and empirical analysis
AI Research Assistant — Plan · Estimate · Iterate · Paper
Your AI-powered research assistant for academic paper writing. From outline planning to empirical data analysis and full paper generation — produce publication-ready work efficiently.
LearnPy.online
Free Interactive Learning
Interactive platform for learning Python, statistics, and econometrics. Code in your browser, get AI assistance, and build skills from basics to advanced topics.
Powered by Advanced AI
Everything you need for professional empirical research
Automated Research Workflow
From data cleaning to final report generation, our AI handles the entire research process automatically.
Publication-Ready Output
Generate comprehensive DOCX reports with methodology, results, robustness checks, and discussion chapters.
Intelligent Analysis
Leveraging Claude 4.5 and GPT-5 for sophisticated statistical modeling and evidence-based insights.
Minutes, Not Months
Complete what traditionally takes weeks of work in just minutes with AI-powered acceleration.
Comprehensive Statistics
Descriptive statistics, baseline models, robustness checks, and advanced econometric analysis.
Democratized Research
No technical barriers. Focus on your research questions, not implementation details.
LearnPy.Online
Master Python, Statistics, and Econometrics with interactive coding and AI assistance - completely free
Interactive Code Editor
Write and run Python code directly in your browser with instant feedback
AI-Powered Assistant
Get explanations, debug code, and learn concepts with intelligent chatbot support
Comprehensive Curriculum
From Python basics to advanced econometrics - structured learning paths
# Python Statistics Example
import numpy as np
import pandas as pd
from scipy import stats
# Generate sample data
data = np.random.normal(100, 15, 1000)
# Perform t-test
t_stat, p_value = stats.ttest_1samp(data, 100)
# Display results
print(f"T-statistic: {t_stat:.4f}")
print(f"P-value: {p_value:.4f}")100% Free - No Credit Card Required
Your AI research assistant for academic paper writing. From outline planning to empirical analysis and full paper generation — CoPaper.AI helps researchers produce publication-ready work efficiently.
Try CoPaper.AIDeep Dive into Agentic AI
LangGraph: Building Intelligent Agent Systems
A comprehensive guide to understanding and implementing intelligent agent systems using LangGraph. Goes beyond drag-and-drop workflows to teach dynamic, intelligent decision-making in AI systems.
“AI era, understanding is king. Abandon non-essential details, directly reach the core of Agentic AI thinking.”
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Join researchers worldwide who are accelerating their empirical analysis with StatsPAI.