Atethemis, Inc. is a small woman-owned international development firm. We provide a platform for engineers, environmental, social and gender specialists to integrate their efforts toward a common goal of maximizing positive change in people’s lives for a given investment. Atethemis, Inc. provides program planning, design, implementation, and management from this holistic approach. We believe that a program planned and designed to foster community transformation, in close collaboration with the men and women whose lives will be impacted, can be effectively implemented and efficiently managed to successfully deliver a sustainable project with optimal benefits. Current infrastructure development focus is on water and sanitation in dense urban areas. Atethemis operates per the paradigm that successful development is fostered by investing in people–not just things. Atethemis’ approach is to develop the desired infrastructure as part of a program where the attendant socio-economic and environmental constraints to development within a given community are countered in the design and implementation of the program for transforming that community to ensure sustainability of the investment. Social impact assessment and gender assessment services range from needs assessments to analyses, to rigorous evaluation and learning agendas, to managing implementation of creative solutions that engages men, women, boys, and girls fully throughout all sector projects. We believe that whether a project has desired outcomes related to improving clean energy use, access to clean water, nutrition, markets, increasing incomes, or improving agricultural productivity, that by identifying solutions that work for women and men we can positively transform and impact lives. Atethemis International (Zambia) is a branch of Atethemis, Inc. operating out of Lusaka, Zambia. Our work in Zambia focuses on in-country capacity-building efforts for Zambian nationals to conduct high quality qualitative and quantitative data analysis and collection. Sector focus for data analysis includes social, gender, health, agriculture, and infrastructure.