About Us

Who we are, what we do, and why it matters.

Elite R&D — AI integrated research for actionable insights

Elite R&D is an AI integrated quantitative and qualitative research firm offering cross sectoral statistical analysis internationally. Our professionals possess extensive expertise with 15 years of collective experience required to support our clients throughout their specific research from data collection, data cleaning, data analysis, reporting and dissemination in a timely and efficient manner. We pride ourselves in walking hand in hand with foundations to identify their target group as well as our clients to ensure that they understand the data mining and visualization process used to obtain the results for shared success.

VISION: To be a world class fact tank.

MISSION: To pioneer revolutionary R&D that addresses global challenges through tailored data centric strategies built on trust.

Core values

Our Team

Experienced professionals combining data, technology, finance and research expertise.

Ninnette Cynthia

Co-Founder & Managing Director

Ninnette is a detail-oriented AI, Data and Financial Specialist with vast experience in cross-sectoral research, leveraging advanced analytical algorithms and visualization techniques. She combines strong analytical capability with an aptitude for translating complex data into practical, effective and sustainable business solutions.

Professional Background

Ninnette's statistical career began in 2019 when she joined the Kenya National Bureau of Statistics, where she distinguished herself as an exceptional researcher through strong technical precision. Her career progressed within the public sector, where interactions with distinguished and data-curious clients exposed a significant gap in the availability and integration of data. This experience contributed to her decision to co-found the firm with the aim of providing top-tier statistical analysis for development globally.

Academic Background

Data Science and Machine Learning Postgraduate Programme — Massachusetts Institute of Technology, 2025. A globally recognized certificate applying programming languages, particularly Python, to training large language models.

Artificial Intelligence on Cloud — Great Learning Academy, 2025. A globally recognized certificate integrating AI with statistical models for enhanced visualizations.

CPA-K — 2025. A certification demonstrating her accounting acumen.

Bachelor of Commerce, Finance — The Catholic University of Eastern Africa, 2017. This achievement laid the foundation for her expertise in ethical financial practices.

Brian Wakhutu

Data Management Lead

Brian is a systems developer with experience in designing, integrating and scaling data-intensive platforms. He combines hands-on software and data engineering experience with an approach that connects rigorous model development with practical deployment and performance monitoring.

Professional Background

Brian's career spans leading multidisciplinary teams in overseeing the technical development of disease surveillance data repositories, coordinating the development of sophisticated data collection systems, and formulating and implementing comprehensive data management and reporting systems.

Academic Background

Data Science and Business Analytics — University of Texas at Austin, 2025. A globally recognized certificate emphasizing advanced analytics for business development.

Bachelor of Science, Computer Science — Kabarak University, 2006. This achievement laid the foundation for his sustainable software engineering practices demonstrated throughout his career.