AlveranTECHNOLOGIES
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Ghanaian deep-tech for crop protection

Smarter protection for the modern farm

Alveran Technologies is developing intelligent, non-chemical pest management systems designed to help farmers detect threats earlier, understand what is happening in their fields, and respond with targeted interventions.

By combining AI-powered vision, smart sensing, connected farm nodes and intelligent control, we are building a new layer of continuous protection for agricultural environments.

Join the waitlist See how it works

First nodes go to pilot farms in 2027. Waitlist places are free.

An EcoPulse Guard node mounted on a pole in a tomato field: solar panel, antenna, camera and weather sensor above a white enclosure carrying the Alveran Technologies logo, with a farmer working in the background.
EcoPulse Guard node Solar powered · off-grid
30–60%
of annual yield lost to pests across Africa
$65.6bn
estimated value of those losses each year
4
non-chemical response modes in one node
24/7
solar-powered operation, no grid required
The problem

A farmer can't watch every plant, and can't spray at every threat.

A farm begins with hope: land prepared, seed planted, months of labour and money invested. But while the farmer waits for harvest, the crop may already be fighting something nobody can see.

A flock of black birds stripping ripe maize cobs in a field at dawn.
Birds

They come back the moment you leave

A farmer can spend the whole day chasing birds from a rice or maize field — shouting, waving, throwing stones — and the flock returns as soon as he walks away.

Answered by visual, acoustic and mechanical deterrence
Rodents feeding on maize cobs beside a burrow in a field at sunset.
Rodents

They work while the farm sleeps

Rodents move in at night, feeding on cobs and stored grain and nesting at the edges of the field. By morning the damage is done and the farmer sees only what is left.

Answered by infrared and ultrasonic detection
Fall armyworm caterpillars destroying vegetable leaves while a farmer crouches in the damaged field, holding his head.
Insects

They are found once it's already late

Fall armyworm and other crop-feeding insects spread beneath the canopy. By the time the holes in the leaves are obvious, weeks of growth and months of work are already at risk.

Answered by AI vision and pheromone monitoring

The threat does not wait to be noticed. It grows, it spreads, it destroys — and the farmer usually realises there is a problem only when the evidence becomes visible. By then a small, unseen problem has become a damaged crop, a smaller harvest, and months of hard work at risk.

And when night falls, the farmer goes home. The threats don't. When pests do strike, chemicals are usually the first line of defence — and that protection carries its own cost, in farmer exposure and in the health of the ecosystems the farm depends on. The farm needs protection that doesn't clock out when the farmer does.

The loss figures above are widely cited continent-level estimates for pest-driven yield loss in Africa. They are indicative of the scale of the problem rather than measured on any single farm.

Our approach

Earlier information, better decisions, fewer chemicals.

Alveran's goal is not to build another agricultural device. We are developing a smarter approach to crop protection, designed around the realities of farmers and the need for practical technologies that survive real field conditions.

Detect before the damage

Continuous sensing means pest pressure registers while it is still small, instead of surfacing as visible crop damage weeks later.

Understand what's there

Knowing that something moved is not enough. Combining vision, sound and heat lets the system say what kind of threat it is looking at.

Respond without chemicals

Acoustic, visual, mechanical and biological monitoring responses, matched to the threat — so spraying becomes a considered choice, not a reflex.

How it works

Detect. Characterise. Respond. Verify.

Every node runs the same four-stage cycle, continuously. Watch one protection zone: the vision cone sweeps the crop, a bird enters, the node classifies it and acts — then keeps watching to see whether it worked.

Protection zone, live Node 01
bird · 0.94

  1. Detect

    Vision, sound and infrared motion sensing run continuously, so activity registers whether or not anything is visible to a camera at that moment.

  2. Characterise

    Signals are combined at the node to work out what is actually in the zone — a bird, a rodent, an insect — and how much pressure the crop is under.

  3. Respond

    The node deploys the response matched to that threat: acoustic, visual, mechanical, or pest-specific trapping. No chemicals involved.

  4. Verify

    Sensing continues after the response, so the farmer can see whether it worked and whether pressure is building or easing.

Sensing

Four ways of perceiving the same field.

No single sensor is enough on a working farm. Each layer covers what the others miss, and together they build a far richer picture of activity inside the protection zone.

VISION

AI-powered vision

A camera observes the crop continuously and computer vision identifies the visual signatures of potential threats. This is the evidence layer — it shows what is happening.

SOUND

Acoustic sensing

Many insects communicate through high-frequency sound, and some rodents produce ultrasonic calls. Listening catches what the camera cannot, especially at night.

HEAT

Motion and infrared

Living organisms emit infrared, so when one crosses the sensor's field of view the signal changes. Low-power, always on, and the first thing to notice presence.

BIOLOGY

Pest monitoring

Species-specific pheromone trapping gives a direct reading of which pests are present and in what numbers, independent of the other sensors.

Response

Targeted, non-chemical, matched to the threat.

Detection only matters if something happens next. The decision layer selects the response appropriate to the threat it has characterised, within validated operating parameters.

Acoustic deterrence

Transducers emit ultrasonic frequencies beyond human hearing, or selected audible signals, depending on the target animal and the parameters validated for it.

Visual deterrence

For bird threats, the node generates controlled visual stimuli intended to discourage birds from settling in the protected zone.

Mechanical deterrence

A motor-driven actuator produces intermittent movement and impact-based sound — the effect of a person in the field, without a person in the field.

Biological monitoring

Pheromone traps capture a target species, starting with fall armyworm, and trap activity doubles as a live indicator of pest pressure.

The farm network

One node protects a zone. A network protects the farm.

Nodes don't work in isolation. They link to each other and to the farm network, sharing detections so a threat seen at one edge of the field informs the whole system — and the farmer sees one connected picture instead of scattered readings.

Four Alveran nodes deployed across a field, each with solar panels and antennas, linked by wireless connections to a farm network, with laptop and phone dashboards showing node locations on a farm map.

Sensing

Vision, acoustics, motion and pest traps watching the crop continuously.

Communicating

Each node reports what it sees to the network, over the air.

Working together

Detections are shared, so coverage adds up instead of sitting in silos.

Protecting your farm

Responses fire where they're needed, across the whole protected area.

Real-time monitoring

A connected farm, in one view.

Sensing is only half the job. The other half is putting what the farm knows in front of the person who has to act on it — on a laptop at the office or a phone at the edge of the field.

Farm overview

Every node on a map of your fields, with its status at a glance: what is online, what is powered, what has seen activity today.

Alerts

Notification when a threat is detected and characterised, so you decide what to do from information rather than from a walk around the field.

Pest history

Detections recorded over the season, so pressure can be compared week to week and field to field instead of remembered.

Analytics

Crop, soil and environmental readings alongside pest activity, building a record of the farm that gets more useful every season.

The dashboard and mobile interfaces shown in the network image are design concepts for the 2026 build phase.

Technology

Inside a node.

Every node is a complete unit: it senses, decides and acts on its own, and gets more useful when connected to others. Modularity is deliberate — a farm should deploy the level of technology its fields actually need and add capability later.

SENSE

Multimodal sensing head

Camera, acoustic transducers and passive infrared in one weather-exposed assembly, covering a defined protection zone.

THINK

Edge intelligence

Threat characterisation runs on the node itself, so it keeps making decisions when connectivity drops — which, on most farms, it does.

ACT

Response module

Acoustic, visual and mechanical deterrence plus pheromone trapping, activated selectively rather than run continuously.

POWER

Solar and storage

Panel and battery sized for continuous day-and-night operation without grid electricity, which is what makes remote fields addressable.

CONNECT

Node-to-node network

Nodes link to cover larger areas, sharing detections so the farm is treated as one protected system rather than isolated points.

SEE

Farmer interface

Alerts, pest history and field conditions presented plainly, so the value reaches the farmer and not just the database.

SUBSYSTEMTARGET SPECIFICATION
PowerSolar generation with battery storage; designed for off-grid, continuous operation
SensingVision (camera), acoustic sensing including ultrasonic range, passive infrared motion
ProcessingOn-device inference for pest classification and threat characterisation
NetworkingNode-to-node linking for multi-node farm coverage
ResponseAcoustic, visual and mechanical deterrence; species-specific pheromone trapping
Initial pest targetsFall armyworm; bird and rodent threats in maize, rice and vegetable systems
DeploymentPole-mounted, modular and field-serviceable; capability added incrementally per farm
Environmental dataCrop, soil and ambient conditions collected alongside pest activity

These are target specifications for the 2026 build phase, not measured results from a shipping product. EcoPulse Guard is in active development, and we publish what we have validated rather than what we hope to achieve.

Beyond pest protection

Every node is also an intelligence point on the farm.

Pest protection is where we start, because it is the problem farmers feel most sharply. But a node already sensing the field can tell a farmer far more than whether a bird landed in it — and that data compounds season after season.

Crop intelligence

  • Crop health
  • Leaf condition
  • Growth stage

Soil intelligence

  • Moisture
  • Temperature
  • Salinity

Environmental

  • Temperature and humidity
  • Rainfall
  • Wind

Monitoring to automation

Compatible equipment connects to the network, so routine operations run against real field conditions instead of a fixed schedule — the difference between irrigating on Tuesday and irrigating when the soil is dry.

  1. Sense
  2. Analyse
  3. Decide
  4. Automate
Who we serve

Built for the farms that carry the most risk.

We start with the customer closest to the problem: smallholder farmers growing maize, rice and vegetables. They give us the conditions to prove the technology honestly. A solar-powered, modular, networkable architecture is what lets it scale beyond them.

Smallholder farmers

Protection that works off-grid, at a level of technology matched to the size of the farm and its financing capacity.

Farmer cooperatives

One deployment that can serve a network of farmers, spreading both the cost and the learning across members.

Commercial farms

Larger multi-node deployments with farm-wide intelligence, automation and traceable pest records.

Programmes and institutions

Measurable, non-chemical crop protection for agricultural programmes and research partners across West Africa.

Crops we're starting with

Field crops where pest pressure is high and losses show up immediately in a household's income.

MaizeRiceVegetablesOther high-value crops

Threats we're starting with

Each of these exercises a different layer of the system, which is exactly why they come first.

Fall armywormBirdsRodentsCrop-feeding insects
Reserve your place

Join the waitlist, or reserve nodes for your farm.

Tell us about your fields and we'll come back to you with what EcoPulse Guard can cover, how many nodes it would take, and where you sit in the queue. No payment is taken at this stage.

Opens your email app with the details filled in, addressed to our team.

Your email app should now be open with your details. Send it and we'll be in touch — if nothing opened, write to hello@alveran.tech.
No payment nowThe waitlist is free. Nothing is charged until nodes are ready and you've agreed a deployment.
Pilot farms go firstWaitlist members are considered for the 2027 pilot phase before general availability in 2028.
Your details stay with usWe use what you send to size a deployment for your farm, and for nothing else.
Prefer to write directly?hello@alveran.tech
Pilot programme

How a pilot farm works with us.

We are recruiting farms and cooperatives for the 2027 pilot phase. Hosting a node asks for access to your field and honest feedback about what does and doesn't work.

  1. Field assessment

    We visit, map the crop, the layout and the pest pressure you're actually dealing with, and agree what a useful result would look like on your farm.

  2. Node deployment

    We install and configure nodes across the protection zone, set up the network, and show you how to read what the system is telling you.

  3. Season review

    We monitor performance through the season, gather your feedback, and share what the data says about pest pressure on your fields.

Apply to host a pilot See the technology
Impact

What we're actually trying to change.

The impact we want goes beyond driving pests away from a field. These are the outcomes we measure ourselves against.

Fewer preventable losses

Earlier visibility of threats means intervention while it still matters, rather than after the harvest has been reduced.

Less chemical dependence

When chemical treatment stops being automatic, farmers and ecosystems both carry less exposure.

Less manual burden

No farmer should spend an entire day walking a field or chasing birds just to keep a crop alive.

Reach beyond the grid

Solar power brings continuous monitoring to farms where reliable electricity was never going to arrive.

Better information, faster decisions, better protection, and better outcomes for the farmer.

Where it started

Two engineers. One question. A different way to protect the farm.

Alveran Technologies began with a simple observation: farmers are expected to protect their crops from threats they cannot always see, hear, or predict.

A pest can enter a field unnoticed. Birds can return moments after being chased away. Rodents can become active at night. By the time damage becomes obvious, the farmer may already be dealing with a problem that has grown.

So we started asking a different question: what if the farm could detect the threat before the farmer saw the damage?

That question brought together two young engineers from the University of Ghana, Ashiomey Korkoe Sittie and Matthea Aba Andoh, with different engineering backgrounds but a shared interest in using technology to solve real-world problems.

Ashiomey's interest in intelligent systems, software, electronics and connected technologies brought the systems and technology side of the idea to life. Matthea's background in biomedical engineering, sensing, instrumentation and technical problem-solving brought another perspective: how can machines sense what is happening in the real world and respond intelligently?

Together, they began exploring how artificial intelligence, sensors, embedded systems, connectivity and intelligent control could be brought into the agricultural environment.

What started as an idea for addressing individual pest threats gradually became something bigger.

  1. Watchcontinuously
  2. Sensebeyond sight
  3. Understandwhat is there
  4. Respondwithout chemicals

That vision became EcoPulse Guard. Today, Alveran Technologies is focused on developing intelligent, non-chemical pest management technologies designed around the realities of farmers and agricultural environments.

“Technology should not replace the farmer. It should give the farmer a better view of what is happening, better information to make decisions, and better tools to act.” WHAT DRIVES US FORWARD

We aren't trying to remove farmers' tools. We're trying to give them better ones.

Founders

Two engineering disciplines, one mission.

Alveran is built by two engineering students at the University of Ghana, combining computer engineering and biomedical engineering to build the intelligence, sensing, hardware and response systems behind EcoPulse Guard.

AS

Ashiomey Korkoe Sittie

CO-FOUNDER · COMPUTER ENGINEERING

Works across software, embedded systems, electronics, IoT and systems engineering, and drives the intelligent, connected architecture behind the platform.

AA

Matthea Aba Andoh

CO-FOUNDER · BIOMEDICAL ENGINEERING

WAEC Overall Best Science Student in Ghana and West Africa, 2025 WASSCE. Brings sensing, instrumentation, prototyping and technical problem-solving to the development of EcoPulse Guard.

We are two young Ghanaian women building technology for a problem that directly affects the people who feed our communities.

Questions

Straight answers.

If something you need to know isn't here, ask us directly — we would rather answer than have you guess.

Does EcoPulse Guard use any chemicals?
No. Its responses are acoustic, visual, mechanical, and biological monitoring through pheromone trapping. The aim isn't to ban chemical treatment outright — it's to give farmers enough information that spraying becomes a targeted decision instead of the default first move.
Which pests are you targeting first?
Fall armyworm is our initial insect target, alongside bird and rodent threats in maize, rice and vegetable systems. These are the threats our first customers name most often, and they exercise every layer of the system.
Does it need mains electricity or internet?
Neither. Nodes are solar-powered with battery storage, and threat characterisation runs on the node itself, so the system continues working when connectivity is poor or absent.
How many nodes does a farm need?
It depends on field layout, crop and pest pressure, which is what the field assessment establishes. Because the system is modular, a farm can start with the zone that matters most and add nodes as it goes.
What does joining the waitlist commit me to?
Nothing. It records your interest, tells us what your farm needs, and puts you in front of the queue when pilot places and then commercial nodes become available. No payment is taken and you can withdraw at any time.
What happens to the data from my farm?
It belongs to the farm. Detections, pest history and field conditions are collected to make your protection better and to show you what is happening on your land. Our data handling terms will be published alongside commercial deployment.
Is it safe around people, livestock and beneficial insects?
Safety is a design constraint, not an afterthought. Deterrence is deployed selectively against characterised threats rather than run continuously, and each response mode is being developed against validated operating parameters for its specific target. Independent certification is part of our commercialisation work.
When can I actually buy one?
2026 is our build phase and 2027 is our pilot phase, with commercial deployment beginning in 2028. If you want to be early, the waitlist and the pilot programme are the way in.
Contact

Tell us about your fields.

We're looking for pilot farms and cooperatives willing to host nodes, partners in agricultural research and development, and investors who back hardware early.

Join the waitlist Email the team
GENERAL & PARTNERSHIPS
hello@alveran.tech
PILOT PROGRAMME
pilots@alveran.tech
INVESTMENT
invest@alveran.tech
BASED IN
Accra, Ghana