Our Mission

Rooted in the Field,
Built for the Future.

United by a mission to protect the backbone of Botswana's economy: our livestock. Kitsiso was born from a deep understanding of local farming challenges. We combine grassroots agricultural knowledge with advanced artificial intelligence to give farmers the tools they need to act earlier, reduce avoidable losses, and safeguard their heritage.

Farmer using Kitsiso AI

Why Kitsiso Exists

Kitsiso combines local farming realities, accessible design, and AI-assisted livestock health support so that farmers can act earlier, reduce avoidable losses, and manage animal care with confidence.

agriculture

Farmer First

Designed around the daily challenges of farmers, from kraal monitoring to emergency livestock guidance.

psychology

Practical AI

Uses AI to support quick symptom checking, photo-based observations, and early decision-making.

groups

Built for Botswana

Shaped around Botswana’s livestock economy, local languages, district needs, and veterinary support networks.

The Minds Behind the Shield

Combining technical expertise with a first-hand understanding of Botswana's agricultural challenges.

Otumiseng Letebele

Otumiseng Letebele

Lead Developer

BSc Honours Computer Systems Engineering, University of Sunderland
MSc Candidate Project Management, University of Sunderland

Spearheading the core AI architecture and platform stability to ensure reliable support for farmers.

Kaone Keboetseng

Kaone Keboetseng

UI/UX Design

BSc Honours Computer Systems Engineering, University of Sunderland

Crafting accessible, field-friendly interfaces that feel simple, clear, and practical for everyday use.

Phineous Sebopelo

Phineous Sebopelo

Data Intelligence

BSc Honours Business Intelligence and Data Analytics, University of Sunderland

Bridging the gap between raw livestock data and actionable insights for preventative animal care.

Contact Us

Want to learn more about Kitsiso?

Reach out to the team for partnerships, app demonstrations, farmer onboarding, or veterinary collaboration.