Project Overview
At DEIENAMI, we engineered StatPilot, a no-code, AI-driven statistical analysis platform designed to make real statistical testing accessible to non-technical users. From A/B testing and survey insights to research and education, StatPilot empowers users to run statistical tests, visualize results, and interpret findings—all without writing a single line of code.
StatPilot combines the power of statistical rigor, data visualization, and AI explanations into a single intuitive platform. It was developed to solve a recurring problem in the market: people making data-driven decisions without truly understanding the statistical implications.
The Problem
Modern businesses, educators, and analysts rely heavily on data. But most:
- Lack formal training in statistics
- Misinterpret p-values, confidence intervals, or test outcomes
- Spend hours tweaking Excel sheets or writing Python scripts
- Often skip rigorous testing, resulting in flawed decisions
This gap in data literacy and tool accessibility creates bottlenecks and errors in decision-making—especially for fast-moving teams.
The Solution: StatPilot
We built StatPilot to democratize statistical analysis. The product is tailored to business analysts, product managers, students, and early-stage researchers who need statistical confidence without complexity.
Key Features:
| Module | Description |
|---|---|
| 📂 Data Upload & Preview | Drag-and-drop CSV/Excel import, auto-cleaning, column recognition |
| 📊 Descriptive Statistics | Mean, median, mode, histograms, outlier detection |
| 🧪 Hypothesis Testing Wizard | T-tests, ANOVA, z-tests, Chi-squared, correlation analysis |
| 📏 Confidence Intervals | Visual calculators with chart-based outputs |
| 🧠 StatGPT (AI Engine) | Converts statistical test results into plain-English summaries |
| 🔗 Auto Code Export | Instant Python script generation for reproducibility |
| 🖨️ Report Generator | One-click export to PDF, Markdown, and HTML |
| 🧩 Visual Builder (Beta) | Build multi-step workflows visually, no code required |
🔍 Technical Architecture
| Layer | Technology Stack |
|---|---|
| Frontend | React + Redux + Chart.js |
| Backend | Python (FastAPI) + Pandas + Scikit-learn |
| AI Explanation Engine | Local LLM wrapper + OpenAI GPT APIs |
| Database | PostgreSQL + Redis |
| File Storage | AWS S3 (for datasets and exports) |
| Auth & Security | JWT, role-based access, encryption |
| Deployment | Docker, NGINX, GitHub Actions (CI/CD) |
| Monitoring | Prometheus + Grafana |
We implemented MLOps pipelines to version-test blocks and improve the AI summary engine over time. The system is highly modular, enabling future expansion like plug-in statistical blocks, ML models, or integration with ERP tools.
Business Impact
| Metric | Improvement |
|---|---|
| 🕒 Time to Insight | Reduced from hours to minutes |
| 🧠 Statistical Literacy | Boosted among non-technical teams |
| 📈 Decision Accuracy | Better A/B testing and hypothesis validation |
| 🧾 Report Generation Time | Reduced from 2 hours to < 5 minutes |
| 🛠️ Integration Time (for devs) | Ready-to-use Python/Excel output |
Use Cases
- Product Teams: Run and explain A/B tests for new features
- Marketing Analysts: Analyze survey data with significance
- Educators: Teach hypothesis testing interactively
- Startup Founders: Validate growth experiments with real stats
- Researchers: Publish tests with autogenerated results & code
Ongoing Support & Roadmap
We delivered StatPilot as a continuously evolving platform. DEIENAMI provides:
- Full product documentation & handover
- Post-launch support (bugs, improvements)
- Ongoing feature rollouts (e.g., Bayesian testing, cohort analysis)
- Enterprise version in progress with audit trails, API access, and SOC2 alignment
Why StatPilot Stands Out
- No learning curve: Designed for ease of use, even for first-time users
- AI-powered: “Explain it like I’m five” summaries via StatGPT
- Educational + Practical: Bridges the gap between data learning and business action
- Customizable: Can be white-labeled or embedded in larger platforms
Conclusion
StatPilot has emerged as a powerful tool to bridge the gap between raw data and confident decision-making. Whether you’re a marketer, analyst, or educator, StatPilot lets you turn your data into clarity—without needing a PhD in statistics.
If you’re building a data-powered platform or want to empower your users with true statistical confidence, let’s talk. DEIENAMI specializes in product engineering for AI-powered, user-friendly SaaS solutions.
