Nigerian artificial intelligence company Abbadh Labs is seeking to strengthen its presence in the global research technology market with the expansion of SABABAT, an AI-powered platform designed to support academic research, data analysis and scientific writing.
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Headquartered in Abeokuta, Ogun State, the company says its platform brings several stages of the research process into one digital workspace, helping students, academics, healthcare professionals and institutional researchers manage tasks that traditionally require multiple applications and manual processes.
The announcement, published by Techpoint Africa on November 9, 2026, was a Brand Press contribution from Abbadh Labs, rather than an independently reported editorial investigation.
Its performance figures and product claims should therefore be understood as company-provided information.
The platform’s development was inspired by a challenge encountered by its founders while assisting with academic research.
According to the company, researchers handling large volumes of printed questionnaires often spent days manually entering responses before they could begin statistical analysis.
The experience exposed what Abbadh Labs describes as a fragmented research process, in which academics move between data collection tools, statistical software, online journals and writing applications to complete a single project.
SABABAT is designed to bring these activities together.
Its features include a research topic development assistant, a literature search tool, questionnaire and form creation, data cleaning, statistical analysis and AI-assisted academic writing.
The company says its Research Copilot can search a collection of more than 250 million academic papers and preprints, providing answers supported by cited literature.
Its Supervisor Y feature is also designed to review research chapters, assess arguments, examine citations and identify weaknesses before submission to academic supervisors.
A major part of the platform’s design, according to Abbadh Labs, is the separation of statistical computation from AI-generated explanations.
The company says numerical results, including correlation coefficients, chi-square statistics, F-ratios and p-values, are calculated using dedicated statistical algorithms rather than generated by large language models.
The AI language component is then used to interpret the results and explain their implications in academic writing.
This approach is intended to reduce the risk of inaccurate statistical outputs and make complex analysis more accessible to researchers without advanced technical skills.
The platform also aims to address what the company describes as regional citation bias, particularly the underrepresentation of African academic publications in research tools.
Abbadh Labs says SABABAT combines African and international literature to help researchers find evidence relevant to their geographical and institutional settings.
Founded in 2021 by Adenle Muhsin Modupeoluwa, chief executive officer and director of research, and Adenle Fawaz Ifedolapo, chairman of the board, Abbadh Labs says it has developed the platform without external venture capital funding.
The company’s leadership team also includes Adenle Nafiu O., president and chief scientist, whom the company identifies as a healthcare computer scientist and applied statistician, as well as deputy director of the Research and Statistics Department at the Federal Neuropsychiatric Hospital, Aro, Abeokuta.
Abbadh Labs says SABABAT has attracted more than 20,000 registered users since its beta launch in March 2025, completed over 11,000 statistical analyses and generated more than 75 million words across 28,000 written papers.
The company also says it was commissioned to deploy an offline version of the platform, known as SABABAT Office, for the Federal Neuropsychiatric Hospital in Aro.
The desktop solution is designed to support institutional research and clinical statistical work without requiring an internet connection.
However, the reported user numbers, usage figures and institutional deployment details are company-provided claims and have not been independently audited in the announcement.
Looking ahead, Abbadh Labs plans to expand SABABAT’s qualitative research capabilities through automated transcription, thematic analysis and tools for interpreting textual evidence.
It is also developing what it calls “vibe analysis”, an approach intended to allow users to explore datasets and apply statistical methods through natural-language instructions without having to master traditional statistical software.
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The company’s broader ambition is to position SABABAT as research infrastructure for institutions and individual researchers in Africa and beyond, while keeping human judgement and academic responsibility central to the process.
