Investing in the intelligent operating layer for agriculture.
From on-demand expert advice in Zimbabwe to autonomous farm operations across the globe. Starting with 600 million farmers who make life-or-death decisions with no data.
$500B
Annual preventable crop losses globally
600M
Smallholder farmers worldwide
45%
Of global food from smallholders
<5%
With access to agronomist advice
The Opportunity
The largest underserved agricultural market on earth.
1.2M
Zimbabwean farmers
$6B
Zimbabwe agricultural GDP
70%
Agricultural workforce
<5%
Access to expert advice
Why We Win
Not precision agriculture. Intelligent agriculture.
Software-first. $0 upfront. Accessible to 600M farms not just the 1M who can afford hardware.
Distribution-first
WhatsApp has 80%+ penetration in Sub-Saharan Africa. We launch there first then expand to mobile app, web, and SMS. Zero app-store friction. 10x faster adoption than competitors.
Context is the moat
The same AI with rich context GPS, 7-day weather, soil type, crop stage, 30-interaction history is 10× more accurate than generic models. Context is what makes it smart.
Data flywheel
Every interaction logs field-level disease patterns, treatment efficacy, and regional correlations. After Year 1 at 1,000 farms: 50,000+ labeled images. New entrants start from zero.
Layer-by-layer build
Phase 1: Reactive (farmer asks → system responds). Phase 2: Proactive (system predicts → farmer confirms). Phase 3: Autonomous (system acts → farmer approves strategy).
The Moat
African agricultural ground-truth data doesn't exist at scale. We're building it one interaction at a time.
Market Timing
Why now.
Three major shifts create a once-in-a-decade opportunity. AI capability + distribution + urgency = right timing.
01
AI Capability Breakthrough (2023–2024)
Multi-modal AI can now analyse agricultural images with expert-level accuracy, reason about context-dependent problems, and generate specific actionable recommendations. This wasn't possible two years ago. Foundation models + smart context assembly work today no fine-tuning required.
02
Mobile Penetration in Africa (2020–2025)
Sub-Saharan Africa: 70% mobile penetration (up from 45% in 2020). 80%+ WhatsApp adoption in connected areas. Smartphone costs down 60% since 2020. 4G coverage at 60% of population (up from 30%). The distribution infrastructure now exists.
03
Climate Pressure Increases Urgency (2024+)
Farmers face more unpredictable weather, increased pest and disease pressure, shorter decision windows, and higher input costs. Traditional 'wait and see' doesn't work anymore. Farmers need intelligence to survive and they know it.
Traction
Where we are. Where we're going.
Founded
Harare, Zimbabwe vision to bring intelligent agriculture to every farmer
Development & planning
Intelligence engine architecture, WhatsApp integration design, PostGIS geospatial infrastructure
Core infrastructure built & tested
Sub-5s response time achieved, context engine operational, multi-modal input live
Pilot launches
50 farms, Mashonaland West 6-week live program
Zimbabwe paid launch
Post-pilot paid service, target 500 farms, web dashboard & Shona/Ndebele support
1,000 farms in Zimbabwe
Livestock intelligence added, cooperative white-label pilot, Zambia market prep
Sub-Saharan Africa expansion
Zambia (Q1), Kenya (Q2), Tanzania (Q3) target 10,000 farms across 4 countries
Unit Economics
Target metrics post-pilot
Average blended ARPU $15/month ($180/year). Tiered from $5/month (WhatsApp only) to $200/month (enterprise).
Blended CAC
$12
WhatsApp-first distribution + cooperative partnerships
Blended LTV
$360–540
24+ month avg retention at $15/month ARPU
Gross Margin
75%+
Software model at scale
Payback Period
<3 mo
LTV:CAC ratio 30:1 to 45:1 target
Expansion Strategy
From $6B Zimbabwe to $180M+ ARR globally.
Each phase validates the next. Each region funds the next. Starting hyper-local so the system is trained on real problems before we scale.
Phase 1
Launching2025
🇿🇼 Zimbabwe
- Market1.2M farmers
- Target1,000 farms
$180K ARR
Phase 2
Planned2026
🌍 Sub-Saharan Africa
- Market80M+ farmers
- Target10,000 farms
$1.8M ARR
Phase 3
Vision2027
🌍 Pan-Africa
- Market220M farmers
- Target100,000 farms
$18M ARR
Phase 4
Long-term2028+
🌎 Global
- Market600M+ farmers
- Target1M+ farms
$180M+ ARR
Landscape
Competitive landscape.
We compete on distribution (WhatsApp), context (rich agricultural intelligence), and accessibility (all farm sizes).
Traditional Extension Services
Government, NGOs
Strengths
Trusted by farmers. Free or subsidised. Local language support.
Weaknesses
1 officer per 1,000+ farmers can't scale. Office hours only. Generic, not field-specific advice.
Our Edge
On-demand. Scalable. Field-specific.
Precision Agriculture
John Deere, Climate FieldView, Farmers Edge
Strengths
Advanced sensors, drones, AI. Deep pockets. Proven in developed markets.
Weaknesses
$10K–$100K upfront investment. Only viable for large commercial farms (500+ ha). Not accessible to 95% of African farmers.
Our Edge
Software-first. $0 upfront. Accessible to ALL farm sizes.
African AgTech Startups
Apollo Agriculture, FarmCrowdy, Twiga Foods
Strengths
Local market knowledge. Mobile-first. Farmer trust.
Weaknesses
Focus: input financing, marketplace, supply chain NOT agricultural intelligence. Limited AI capability. No multi-modal analysis.
Our Edge
Intelligence-first. Multi-modal AI. Purpose-built for decision support.
General AI Assistants
ChatGPT, Claude, Gemini
Strengths
Best-in-class AI models. Widely available. Low cost.
Weaknesses
No agricultural context (weather, soil, crop stage, history). No confidence scoring or accountability. Not optimised for farmer UX.
Our Edge
Context + Accountability + Agricultural expertise.
Team
Built by operators, not academics.
Deep local knowledge of Zimbabwean agriculture. Technical capability to build world-class AI systems. Mission-driven to make intelligent farming accessible to everyone.
Tinotenda Nyashanu
Co-Founder & CTO
B.Sc. Computer Engineering (AI & ML), Vistula University, Warsaw. Expertise in Computer Vision, NLP, and backend AI systems. Leads technical strategy, intelligence architecture, and platform engineering.
LinkedIn →Tafadzwa Madzikanda
Co-Founder & CEO
B.Sc. Computer Engineering (AI/ML & Systems Design). Expertise in intelligent systems design for agricultural technology. Drives vision, farmer partnerships, cooperative relationships, and business strategy.
LinkedIn →Roadmap
Five phases. One mission.
Founded 2023. Built 2024–2025. Scaling from 2026.
Phase 1
2025 (Now)
Zimbabwe Pilot & Scale
- ·50 farms → 1,000 by Dec 2025
- ·WhatsApp + Mobile App + Web
- ·Maize, tobacco, soya, wheat, sorghum
Phase 2
2026 (Q1–Q2)
Zambia + Kenya Launch
- ·Zambia Q1 2026
- ·Kenya Q3 2026
- ·Tanzania Q4 2026
- ·Target: 10,000 farms
Phase 3
2026–2027
Proactive Intelligence
- ·Satellite monitoring
- ·Morning farm briefings
- ·Predictive disease alerts
- ·Autonomous scheduling
Phase 4
2027
Pan-Africa Scale
- ·Nigeria, Ghana, Uganda, Ethiopia
- ·100,000 farms, 12 countries
- ·Livestock + horticulture
- ·$18M ARR target
Phase 5
2028+
Global Expansion
- ·South Asia, Southeast Asia
- ·Latin America
- ·1M+ farms globally
- ·$180M+ ARR target
The Ask
Seed round. 18–24 months to Series A.
Use of funds: prove unit economics at 1,000 farms in Zimbabwe, build the full platform, and prepare Sub-Saharan Africa expansion.
40%
Product Development
- ·Mobile app refinement (iOS + Android)
- ·Web dashboard build
- ·SMS/USSD integration
- ·Shona, Ndebele, Swahili language support
30%
Zimbabwe Scale (1,000 farms)
- ·Farmer acquisition & onboarding
- ·Field operations team
- ·Customer success & support
- ·Co-op partnerships, radio, WhatsApp marketing
20%
Key Hires
- ·Senior Full-Stack Engineer
- ·Agricultural Data Scientist
- ·Head of Farmer Success
- ·DevOps/Infrastructure Engineer
10%
Regional Expansion Prep (Zambia)
- ·Crop & disease data collection
- ·Partnership development
- ·Regulatory & compliance
- ·Market research
Milestones this funding enables
1,000 farms
In Zimbabwe by Dec 2025
$180K ARR
Proving unit economics
Full platform
Mobile app + web dashboard live
Zambia-ready
Launch-ready by Q1 2026
Get Involved
This is the ground floor.
We're building the intelligent operating layer for agriculture from Zimbabwe to 600M+ farms globally. Starting hyper-local. Scaling to the world.
We're looking for investors with African agriculture expertise, an AI-in-emerging-markets thesis, and patient capital with a 3–5 year horizon.