Over fifty services. One standard.

Rigorous, defensible statistical support for researchers, postgraduate candidates, and institutions.

• Statistical analysis for MSc and PhD theses and dissertations — analysis, results chapters, and defence preparation
• Research design and methodology consulting — study design, sampling frameworks, power and sample size determination
• Questionnaire and data collection instrument design and validation
• Manuscript statistical review and journal submission support
• Systematic review and meta-analysis services
• Peer review and research proposal evaluation services for institutions
• Similarity (plagiarism) and AI-detection compliance checking and advisory

End-to-end data lifecycle support — from the field to the analysis-ready dataset.

• Data collection services — ODK, KoBoToolbox, CAPI surveys, and field team coordination
• Data entry, cleaning, validation, and management
• Database design and management
• Data digitization — converting paper records into structured datasets
• Data annotation and labelling for AI and machine learning projects

Advanced statistical, machine learning, and AI modelling for prediction, classification, and decision support.

• Predictive modelling and machine learning solutions
• Time series forecasting — sales, demand, financial, and epidemiological
• Survival analysis and clinical or health data analytics
• Econometric and policy modelling
• Credit scoring and risk modelling for banks, SACCOs, and microfinance institutions
• Customer and market segmentation analytics
• Geospatial analysis and mapping (GIS)
• Sports analytics and predictive market modelling

Evidence systems for NGOs, donors, and government programmes.

• M&E framework design — logframes, theories of change, and indicator development
• Baseline, midline, and endline surveys
• Impact evaluations — randomised controlled trials and quasi-experimental designs
• Third-party monitoring and data quality audits
• Donor reporting and results-based reporting support

Software and intelligence systems that put data to work daily.

• Interactive dashboard development — Power BI, Tableau, R Shiny, and Python
• Automated reporting systems
• Custom data systems and web applications, including M-Pesa-integrated platforms
• Survey and feedback platforms for institutions
• Data pipeline setup and automation

Assurance, risk, and forensic services delivered by seasoned, professionally certified practitioners.

• Internal audit services — outsourced and co-sourced internal audit functions
• Enterprise risk management — risk framework design, risk registers, and risk assessments
• Internal control design, review, and assessment
• Compliance audits and regulatory compliance advisory
• Fraud investigation and forensic services
• Forensic data analytics — machine learning-driven fraud detection
• Corporate governance advisory — board frameworks, policies, and governance audits
• Financial management advisory and financial controls review
• Quality assurance reviews and system and process compliance audits
• Audit analytics and continuous auditing systems

Strategic documents and advisory that move institutions forward.

• Grant and research proposal writing support
• Business plans, strategic plans, and feasibility studies
• Market research and industry reports
• Policy briefs and technical report writing
• Organizational development documentation — constitutions, growth plans, and M&E systems
• Curriculum and training content development for institutions
• Data governance and data protection (Kenya Data Protection Act, 2019) compliance advisory
• AI readiness and adoption advisory for organizations

Professional development that transfers skills directly into organizations.

• Corporate workshops, seminars, and conference facilitation
• Webinars, masterclasses, and public lectures
• Mentorship programmes and research clinics
• Conference and academic event organization and secretariat services
• Statistical software support — R, Python, STATA, and SPSS setup, troubleshooting, and coaching

Cohort-based, hands-on programmes that turn students and professionals into practitioners.

• Data Analytics for University Students — July 2026 cohort (registration open)
• Python for Data Science — 10-week applied programme
• Programme roadmap: Big Data Analytics, R for Statistical Research, STATA for Econometrics, Advanced ML & AI