SABABAT ~ 4.0 — Smart Automated Builder And Big Analysis Tool — is Abbadh Labs' flagship research intelligence platform. Built specifically for undergraduate researchers, healthcare professionals, and data analysts, it transforms the full research lifecycle — from topic development to final exported report — into a seamless, code-free experience.
"I had written Chapter 1 to Chapter 3 of my project when my lecturer rejected my literature review. With the deadline so close, I turned to SABABAT, and it completely saved me."
The Belief Behind SABABAT
SABABAT was built on a single, uncompromising belief: "Research should be accessible, not intimidating."
In a continent where research tools are either prohibitively expensive or require deep technical expertise — Python, R, SPSS — SABABAT stands as a revolutionary alternative. It is designed to be a breakthrough in autonomous quantitative research and data analysis, specifically targeting users who lack coding experience. The platform's primary philosophy is to make academic research accessible and efficient for everyone, from first-year undergraduates to practising healthcare professionals and independent data analysts.
SABABAT does not replace the researcher's voice. Instead, it strengthens it — automating the mechanical parts of research so the researcher can focus entirely on insight, argument, and contribution.
A Problem Bigger Than One University
For decades, students across Africa, and globally have been discouraged from using AI in their research, not because it isn't useful but because of the fear instilled in them. They've been told AI will expose them through detection tools, produce fake references, create inconsistent results, and ultimately jeopardize their academic integrity. These fears - plagiarism concerns, hallucinated citations, unreliable outputs have made students avoid AI altogether, even when it could significantly simplify their work.
SABABAT was created to eliminate these barriers :
Complete Research Lifecycle Automation
SABABAT handles every stage of the research process from initial idea to final downloadable report. Users only need to enter their research topic, aims, and objectives — SABABAT handles everything else.
The SABABAT Statistical Engine
SABABAT ~ 4.0 includes a modern, AI-powered quantitative analysis engine that supports the full range of parametric, non-parametric, multivariate, and time-series methods — all without writing a single line of code.
Univariate Analysis
Mean, Median, Mode, Frequency Distribution, Standard Deviation, Variance, Skewness, Kurtosis, Percentiles, Quartiles, Box Plot, Histogram, Stem-and-Leaf.
Bivariate Analysis
Pearson Correlation, Spearman's Rank, Chi-Square (Goodness of Fit & Test of Independence), Simple Linear Regression, T-Test, ANOVA, Mann-Whitney U, Wilcoxon Signed-Rank, Cross Tabulation.
Multivariate Analysis
Multiple Linear Regression, Logistic Regression, Principal Component Analysis, Factor Analysis, K-Means Clustering, Hierarchical Clustering, MANOVA, Discriminant Analysis, Structural Equation Modelling (SEM).
Time-Series & Modelling
ARIMA, ACF & PACF, Trend Analysis, Moving Average, Exponential Smoothing, Augmented Dickey-Fuller, Kalman Filter, Box-Jenkins, Bayesian Modelling.
AI Interpretation Bot
An embedded virtual assistant helps users understand their results — explaining what each statistic means, how to interpret significance levels, and how to write up findings in academic language.
The Project Wizard: Students' Most Used Feature
The Project Wizard is the centrepiece of SABABAT — allowing undergraduate and postgraduate researchers to generate complete, well-structured dissertation chapters simply by entering their research topic, aims, and objectives.
What the Wizard Produces
Output Quality
All generated content is formatted to Nigerian university academic standards — Times New Roman 12pt, 1.5 line spacing, justified alignment, APA 7th edition referencing, zero plagiarism through synthesis from verified academic sources.
Intelligent Data Collection — Better Than Google Forms
The SABABAT Form Builder allows researchers to generate professionally structured research questionnaires in minutes. Unlike generic form builders, SABABAT's questionnaires are designed specifically for academic research — automatically structuring Likert scales, demographic blocks, and section formatting to Nigerian academic standards.
No exporting. No CSV conversion. Collected data flows directly into SABABAT's analysis engine.
The SABABAT Ecosystem
SABABAT is designed as a multi-version research ecosystem — evolving from academic research to institutional-grade statistical and clinical intelligence.
Who Uses SABABAT?
Undergraduates & Final-Year Students
The largest user group. Students use SABABAT to complete their entire research projects — from chapter writing and methodology design to data collection, statistical analysis, and final DOCX export. Nursing students, in particular, have adopted the Form Builder as one of SABABAT's most celebrated features.
Healthcare Professionals
Through collaboration with the Neuropsychiatric Hospital Aro, SABABAT supports clinical audits, public health research, and patient data analysis — bringing publication-ready statistical tools to Nigeria's healthcare sector without requiring coding expertise.
Data Analysts & Researchers
Professional analysts use SABABAT for fast statistical summaries, reproducible analysis workflows, and dashboard-ready outputs — all without writing a single line of code. SABABAT builds robust data pipelines capable of handling large, complex datasets without sacrificing accuracy or transparency.
Pricing Model
SABABAT is intentionally priced to be 40% more affordable than traditional methods of paying research writers or outsourcing academic work — while guaranteeing zero plagiarism and real academic sources.
- All advanced statistical analysis (unlimited)
- Sample size calculator
- Project Wizard access
- 10 free Data Cleaning tokens
- Virtual AI assistant
- Chapter One — ₦5,000
- Chapter Two — ₦6,000 (BSc) / ₦7,000 (PG)
- Chapter Three — ₦4,500
- Chapter Five — ₦3,500
- Form Builder — ₦2,000
- Deep Interpretation — ₦500
- 20 generations per month across all features
- Unlimited data cleaning
- Deep interpretation of all analysis results
- Strict real citations from 2020 and above only
- Guidance on supervisor corrections
- Priority processing
Impact & The Future
SABABAT is fast becoming a movement. With campus ambassadors, WhatsApp communities, and thousands of students relying on it for their academic work, the platform has grown from a small Nigerian startup tool into a research infrastructure used across institutions.
Abbadh Labs is building a future where research insight is available to everyone — without coding, without expensive software, and without sacrificing rigour. Their systems are designed to automate repetitive research workflows, learn from evolving data, and deliver reproducible results across domains such as education, healthcare, and social systems, while remaining transparent and adaptable.
"Turning Africa's fragmented data into clear, predictive, and actionable insights for academia, healthcare, security and national development."
Abbadh Labs
Abbadh Labs is a Nigerian research-technology startup founded in 2021 by two brothers — Adenle Muhsin Modupeoluwa and Adenle Fawaz Ifedolapo. Bootstrapped from day one, the company is funded through personal capital, family support, and SABABAT product revenue.
Learn more about Abbadh Labs' innovations at www.abbadhlabs.com or explore SABABAT directly at www.sababat.com.