Your Crop's Window Is Narrow.
We Get Help There in Time.
Altfarmg tells farmers the exact days their crop needs to be planted, sprayed, or harvested, then matches them with the nearest available equipment and skilled labor — so help arrives while the window is still open, not after it has closed.
Missed Timing Costs More Than Missed Money
This isn't a shortage of labor or machinery — it's a failure to move the right resource to the right place at the right time.
A tractor sitting fifteen kilometers away is functionally useless to a farmer who needs it today. Every season, that gap between "available somewhere" and "available now" quietly decides who eats a full harvest and who doesn't.
5–7
days is all a spray window lasts
30%+
yield lost when a window is missed
60%
of equipment sits idle on a given day
Spray window
Day 4 of 6
Missed Timing
Smallholder farmers across Nigeria routinely miss narrow planting, spraying, and harvest windows because they don't own equipment and can't reliably find labor or machinery on short notice.
Yield Loss
Missing a spraying window by even a week can allow pest or disease pressure to cut yield significantly; missing a harvest window risks losing the crop entirely to spoilage or weather.
Provider Idle Time
Equipment owners and skilled laborers sit idle in one location while demand spikes in another region they have no visibility into.
Farmers
Lose yield and income every time a window closes before help arrives.
Providers
Lose earning days sitting idle where nearby demand is invisible to them.
It's a two-sided timing failure — and no one has the data to fix either side.
We Predict the Window, Then Dispatch to Fill It
Altfarmg replaces scattered, reactive access to equipment and labor with one predictive dispatch layer — closing the gap between the moment a farmer needs help and the moment it shows up.
It works quietly in the background: reading crop calendars and weather signals to know a window is opening, then reaching out to the nearest provider before the farmer even has to ask twice.
Easy Task Requests
Farmers request tasks via WhatsApp/USSD ("I need to spray my maize"), or Altfarmg proactively nudges them based on crop calendar and weather data.
Window Prediction
Altfarmg's AI predicts the optimal task window using weather, soil, and historical agronomic patterns specific to that crop and location.
Smart Matching
The matching engine finds the nearest available tractor owner, sprayer operator, or laborer and auto-schedules the task before the window lapses.
Provider Forecasting
A demand-forecasting layer tells equipment and labor providers where demand is about to spike, so they can reposition ahead of time.
Reliability Scores
Trust builds over time for both farmers and providers based on no-shows, task completion, and timeliness — powering a trustworthy two-sided marketplace.
Right place, right time
One predictive engine turns five separate problems into a single dispatch that lands before the window closes.
Dispatch time
Under 2 hours
Everything Runs Through Channels Farmers Already Use
Built for real-world agriculture: fast, mobile-first, and designed around the farmer and provider workflows we serve — not the other way around.
No new app to learn and no login to remember. A farmer books a task the same way she'd message a neighbor, and a provider sees the next job the same way he'd check a missed call.
Booking, simplified
"I need to spray my maize" is the entire booking flow.
App required
None
Predictive Task-Window Alerts
AI tells farmers exactly when to act, with day-by-day and hour-by-hour precision for planting, spraying, and harvest.
Instant Equipment & Labor Matching
Nearest available match, auto-scheduled with zero manual back-and-forth. Task assigned before the window closes.
Provider Demand Forecasting
Tells providers where and when to reposition, so they're already in the right place when demand spikes.
Reliability Scoring
Trust layer for both farmers and providers. Track completion rates, timeliness, quality — build marketplace credibility.
WhatsApp/USSD Booking
No app download required. Farmers and providers interact via the channels they already use every day.
Dispatch Dashboard
Live status tracking for farmers and providers. Real-time map, task history, earnings, and completion metrics.
The AI Engine Behind the Dispatch
Every prediction and match traces back to real signals — weather, soil, past task outcomes — processed on infrastructure built to respond while the window is still open, not after it's closed.
6
live data streams feeding the models
<2 min
typical time from request to match
Seasonal
retraining as new task data comes in
What Data Powers Our AI
- •Crop type and planting-date records from farmers
- •Hyperlocal weather forecasts and historical patterns
- •Soil data and regional agronomic benchmarks
- •Real-time task completion and timing data
- •Live location and availability from providers
- •WhatsApp/USSD task requests in natural language
Request-to-dispatch flow
A request travels this full loop — farmer to dispatch and back with a confirmation — in under two minutes on average.
How It Works
Five steps from farmer request to completed task and updated trust scores.
Farmer Request
Farmer requests a task or receives a proactive AI window alert via WhatsApp/USSD.
AI Prediction
Altfarmg AI predicts the optimal window and searches nearby providers with live availability data.
Smart Matching
Matching engine ranks and assigns the best available equipment/labor based on distance, reliability, and fit.
Dispatch & Confirmation
Provider is notified and dispatched; farmer receives confirmation and live tracking link.
Score & Learn
Task completion updates both parties' reliability scores, improving future matches and forecasts.
Designed to Run on Enterprise-Grade Cloud & AI Infrastructure
We're architecting Altfarmg around infrastructure from AWS, NVIDIA, and OpenAI so reliability and AI capability scale with us as we grow — not built and running today, but designed in from the start rather than bolted on later.
Amazon Web Services (AWS)
Planned Use of AWS
- •Host backend APIs (ECS/Lambda) for request handling and task matching
- •Store farmer, provider, and task data securely (Amazon S3, RDS)
- •Run real-time matching and forecasting workloads on EC2 and Lambda
- •Manage authentication and access control with IAM
- •Deploy scalable databases with RDS and DynamoDB
- •Serve frontend assets globally via CloudFront
- •Monitor system performance with CloudWatch
- •Use Amazon Location Service for provider geolocation and routing
- •Use Amazon Bedrock for managed LLM access in WhatsApp parsing
NVIDIA
Planned Use of NVIDIA
- •Accelerate training of window-prediction and demand-forecasting models
- •Optimize real-time inference for the matching engine during peak planting and harvest periods
- •Support future computer-vision work to verify task completion via photo evidence
- •Enable batch processing of seasonal agronomic and weather data at scale
OpenAI
Planned Use of OpenAI
- •Parse task requests from WhatsApp messages in conversational, local-language phrasing
- •Power a farmer-facing conversational assistant for crop recommendations and task scheduling
- •Fine-tune and prompt-engineer with local agronomic and logistics context
- •Generate farmer-friendly task confirmations and status updates
Why This Stack, Once We're at Scale
None of this needs to exist on day one. It's the infrastructure we're designing toward as task volume and the provider network grow.
Seasonal Elasticity
Compute demand will spike during planting and harvest seasons. Cloud infrastructure will let us scale compute up and down automatically instead of overprovisioning year-round.
Managed ML Hosting
Rather than maintaining GPU clusters year-round, we plan to lean on managed services to retrain window-prediction models each season as new weather and outcome data arrives.
Real-Time Geographic Routing
Low-latency location data and routing will be essential for matching — the goal is a farmer's WhatsApp request getting a match within minutes, not hours.
Multi-Region Resilience
As we expand across Nigeria, Ghana, and Kenya, regional cloud infrastructure is intended to keep service fast and reliable locally while models and data stay centralized.
Market Opportunity
Africa's agricultural sector is digitizing. We're filling the critical gap between farmer need and resource availability.
Target Users
- •Smallholder and mid-size farmers (1–20 hectares)
- •Tractor and equipment owners
- •Agro-service providers and specialist laborers
- •Agricultural cooperatives and agribusinesses
Launch & Expansion
- •Launch Markets: Nigeria (Oyo/Ibadan region)
- •Phase 2: Ghana, Kenya, Rwanda
- •Target underserved agri-logistics zones with 50K+ farmers
- •Expand to neighboring West and East Africa within 18 months
Revenue Model
- •Commission on each completed task/dispatch (5–8%)
- •Premium subscription tier for providers (priority demand forecasts)
- •Enterprise API access for cooperatives and agribusinesses
- •Future: certified task data for precision-ag startups
Growth Plan
- •Onboard equipment owners and laborers first in pilot region
- •Build supply density to achieve <15 min avg match time
- •Activate farmer demand through cooperatives and agro-dealers
- •Expand vertically into farm financing and insurance
Why Now
Africa's agricultural sector is digitizing rapidly, mobile and WhatsApp penetration among smallholder farmers is at an all-time high, and AI forecasting and matching technology has become affordable enough to run at scale for the first time. At the same time, equipment and labor access remains one of the biggest unsolved bottlenecks in smallholder farming — not because resources don't exist, but because there's no system predicting when they're needed and routing them there in time. Altfarmg sits at the intersection of these shifts, using AI to turn scattered, reactive equipment and labor access into a predictive, on-time dispatch network.
MVP & Traction
Here's where we are and where we're heading in the next 6 months.
MVP Status
In Development
WhatsApp task request and provider-matching flow currently in build
Provider Onboarding
Early Stage
Early conversations underway with tractor owners and agro-service providers in Ibadan region
Beta Goal (6 months)
100+ Providers, 300+ Tasks
Onboard 100 equipment/labor providers and complete 300 matched tasks in pilot region
Roadmap
From MVP to continental scale: our 18-month plan to become Africa's dispatch layer for farm labor and equipment.
MVP Foundation
- →WhatsApp task intake interface
- →Provider directory and profiles
- →Baseline matching logic (distance + availability)
- →Task request and completion tracking
Pilot Launch
- →Onboard first provider network in Oyo State
- →Launch window-prediction model v1
- →Farmer demand activation via cooperatives
- →50+ early-stage task completions
Intelligent Forecasting
- →Demand-forecasting layer for provider repositioning
- →Expand to 2 additional Nigerian states
- →Reliability-score-based ranking refinement
- →300+ monthly matched tasks
Regional Expansion
- →Launch in Ghana and Kenya
- →Task-completion photo verification (computer vision)
- →Mobile app (iOS/Android) alongside WhatsApp
- →2000+ monthly tasks across 3 countries
Meet the Team
Founders and early-stage engineers focused on solving Africa's agricultural logistics challenge.
Khalid Rasheed
Founder / Head of Business
Multi-venture founder with 6+ years building in agriculture, health tech, and legal-tech AI products across West Africa. Led go-to-market for 2 successful exits.
LinkedIn
Abigail Darasimi
AI & Backend Engineering Lead
Machine learning and backend engineer with experience building real-time forecasting models and high-throughput matching systems.
Tamunosaki James
Product & Operations Lead
Product and operations lead with experience turning early-stage marketplace research into shipped features and repeatable processes.
Join the Mission
We're looking for engineers, product builders, and go-to-market experts who believe in solving Africa's agricultural logistics challenge.
Get in TouchGet in Touch
Request a demo, join the waitlist, or reach out to partner with Altfarmg. We'd love to hear from you.
Direct Email
khalid.rasheed@altfarmg.siteWhat We're Looking For
- ✓Farmers seeking better equipment access and timing
- ✓Equipment owners & laborers looking for demand visibility
- ✓Cooperatives interested in aggregating supply and demand
- ✓Investors backing Africa's agri-logistics future
- ✓Partners and integrators in agri-tech ecosystem
💡 Response time: We typically reply within 24 hours.