Directory · ZM
Data Infrastructure and Analytics in Zambia
A register of firms and the professionals working at them in the Data Infrastructure and Analytics sector based in Zambia. Browse the public index, then filter or export on Kipplo.
Companies
4 on file
Clutter Zambia
Data is the new currency. Our vision is for Clutter to become the central treasury of this invaluable currency in Africa."
1 to 10 staff
Rinato Space
Rinato Space is Zambia’s first space tech company, using space to save life on earth. Rinato Space’s vision is to bridge the gap between high-tech and the users who need it the most. Users, Farmers, NGOs, Institutions, and Governments can tackle challenges in agriculture, climate change, water resource, and multiple other applications by tapping into the power of satellites and remote sensing. Rinato Space is also building a unique product, that aggregates satellite and remote sensing data, to provide an AI-integrated data analytics platform that provides actionable insights to tackle challenges in agriculture and climate adaption challenges.
1 to 10 staff
Findat Consultants
FINDAT® is a tech-driven management consultancy firm specializing in business forensics. We are dedicated to delivering expert advice, professional training, and operational support to empower businesses in adopting and promoting best practices. At FINDAT, we combine advanced technology with in-depth expertise to provide data-driven strategies and solutions that foster growth, resilience, and excellence. Our services encompass forensic analysis, financial strategy, management consulting, digital transformation, and organizational development—each tailored to uncover opportunities, mitigate risks, and confidently address challenges. As part of JESSIN Consultancy Limited (JCL), FINDAT operates under the shared mission of enabling businesses to achieve sustainable success while upholding the highest standards of professionalism and precision. Discover how FINDAT can support your business by exploring our comprehensive range of services on our website.
11 to 50 staff
Thinkingclusters
We are building African's AI Inference infrastructure with an edge & sovereign approach. Join us on our journey towards AI enabled profitability.
1 to 10 staff
