Bootstrap
Current stage- Raised when
- From day one
- Used for
- Paid pilots, grants, leasing, personal savings, mapping revenue, first rover prototype
- Evidence required
- A cluster chosen, ten organizations willing to pay, a build log
Investors
Robotics needs patient capital
Ifenri does not raise on a deck and a promise. It raises on what has already been proven — paying farms, repeat bookings, field data, clear unit economics and a robot doing a paid task. Here is the sequence, and what has to be true at each stage.
Funding strategy
Raise when the evidence exists, not before
Each stage below names the evidence that must already exist. If it does not, we stay at the previous stage and keep earning revenue — which is the cheapest capital available.
Pre-seed
Next- Raised when
- Paying farms, repeat bookings, working product, field data, clear unit economics, a working robot prototype
- Used for
- Fleet, pilot hiring, robotics engineer, software, compliance and insurance
- Evidence required
- Gate 1 passed, Gate R1 passed, 35%+ gross margin per hectare
Seed
Later- Raised when
- Multi-cluster operations, strong margin, technician network, proprietary data, robot delivering paid tasks
- Used for
- Scale operations, platform, small-batch manufacturing
- Evidence required
- Gate 2 and Gate 3 passed; 30–50 farms; 60%+ repeat
Series A
Later- Raised when
- Repeatable model, robots in service, a post-harvest or processing pilot underway
- Used for
- Manufacturing, regional expansion, post-harvest and processing assets, quality systems
- Evidence required
- Gate 4 passed; 5+ rugged units in service; supplier base
Growth
Later- Raised when
- Revenue across the seed-to-table chain
- Used for
- Local manufacturing, Africa expansion, data products
- Evidence required
- Gate 5 and Gate 6 passed; consent framework and named data partners
Diligence frame
Judge us on the gates, not the narrative
The gates are the diligence checklist. Each has a pass condition and a stated response to failure, so you can see in advance how we behave when something does not work.
Week 2
Gate 0 — Demand
10 organizations willing to pay for a pilot
Month 3
Gate 1 — Unit economics
5+ paying farms, 50%+ reorder intent, positive margin per hectare
Month 12
Gate R1 — First robot
Robot delivers a paid task and the customer wants more
Month 9–12
Gate 2 — Repeatability
30+ farms, 60%+ repeat, 80%+ uptime, no preventable incidents
Month 18–24
Gate 3 — Platform
Core runs on 2+ machines; recurring revenue; operators joining
Year 2–3
Gate 4 — Manufacturing
Documented failures; 5+ rugged units in service; supplier base
Year 2 onward
Gate 5 — New chain stage
Platform fit, anchor partner, food-safety clarity, team, capital, dual test
Year 3 onward
Gate 6 — Data products
Consent framework, named partner, written purpose, data security
Capital sources
Where the money can come from
Status and eligibility of every source below must be confirmed directly — programme terms change, and this list is a set of leads rather than a set of commitments.
AGRA and SMEDAN agribusiness programmes
Grants and technical support — eligibility to be confirmed
FCMB agritech programmes
Bank-led agritech support — status to be confirmed
AYuTe Africa Challenge Nigeria
Competitive grant — status to be confirmed
Ventures Platform, Ilorin Innovation Hub
Nigerian venture and hub programmes
State agripreneur programmes
State-level mechanization and agribusiness schemes
Deep-tech and hardware accelerators
For the robotics track specifically
University and research grants
For autonomy, perception and agricultural engineering work
Food-security funders and DFIs
For the post-harvest, processing and data stages
Equipment leasing and revenue-based financing
Non-dilutive capital for machinery
Impact investors focused on food security
Aligned with the dual scoreboard
In one paragraph
“Africa cannot feed itself profitably without machines, data, and skills built for its conditions. Ifenri makes food more secure and farming more profitable at the same time, from seed to table. We start with drone and robot services that pay per hectare, then cut losses after harvest, add processing with partners, and connect farms to buyers. Along the way we build a trusted data platform, and from that data come nutrition, food-safety, insurance, and health partnerships. We build and service the machines in Africa, for Africa.”
Start the conversation
Make food secure and farming profitable — at the same time
Tell us your crop, your hectares and where you lose money today. We will tell you honestly whether Ifenri can improve that hectare yet — and if we cannot, we will say so.
Farmers & cooperatives
Book mapping, scouting or machinery for your cluster. Pilots are paid and measured from the first hectare.
Book a field serviceBuyers & processors
Talk to us about reliable, traceable supply and where the loss actually happens in your crop.
Discuss supplyFunders & partners
Read the working plan, the gates, and the unit economics before you commit a naira.
Investor brief