The fuel numbers never quite add up between depots, and everyone has a theory.
Fuel leakage
Build new software · Sensors & signals
Your trucks, machines, and cold rooms have a lot to tell you.
We build the software that turns readings from your vehicles, machines, and sensors into dashboards, alerts, and reports your operations team can act on. We handle both the device side and the platform that sits on top.
Interactive illustration · sample data
Fleet · Lagos depot12 vehicles reporting
updated 2s ago7.9km/L
Avg fuel economy
across the active fleet
GT-241 · Apapa runmoving
GT-188 · Ikejamoving
GT-203 · idling 14 minflagged
Failing quietly
Right now, something in your operation is failing quietly.
The cold room drifted overnight. We found out from the stock, not from an alert.
No early warning
That machine gave warning signs for weeks. Nobody could read them until it stopped the line.
Silent breakdown
The signals were all there. What was missing was the system that hears them and tells the right person in time. That is the system we build.
What we build
From the device to the dashboard.
Fleet tracking
Every vehicle live on a map, with driver behaviour and fuel monitoring, so detours and theft lose their cover.
Cold room & temperature monitoring
Continuous readings with alerts the moment something drifts, before the stock pays for it.
Production line & equipment monitoring
Machine health visible in real time, with the warning signs surfaced instead of buried.
Farm sensor networks
Soil, weather, and equipment readings turned into advice a farm team can act on.
Smart building & energy tools
Power, water, and facilities tracked and trimmed across sites.
Asset tracking with location fences
Know where valuable equipment is, and hear immediately when it leaves where it should be.
From readings to warnings
From raw readings to early warnings.
The readings are only worth collecting if something acts on them. These are the features that turn a stream of numbers into a warning while there is still time.
Maintenance alerts before a machine fails
The sensor pattern that comes before a breakdown gets recognised, and the fix happens on your schedule instead of the machine's.
Drift warnings
Temperature, vibration, or consumption moving away from normal gets flagged while it is still a small problem.
Smarter routes and schedules
Plans that account for real traffic, real loads, and real history.
Cameras that watch for quality and safety
Defects and unsafe situations spotted as they happen, not in the post-incident review.
Fuel and energy recommendations
The data says where the waste is. The system says it out loud.
Plain monitoring is sometimes enough. We will tell you when it is.
How we work
How an IoT project runs.
01
Stage 01
Define the use case in money terms
What failure, theft, or waste are we trying to catch, and what is it worth to catch it.
02
Stage 02
Plan devices and connectivity
We plan the hardware and network around your real coverage, not the brochure version of it.
03
Stage 03
Build and pilot on a small slice
A few trucks, one cold room, one line. The platform stores readings locally and catches up when the network drops.
04
Stage 04
Prove value, then scale
The pilot proves the value with your own numbers before you roll it out across the operation.
We pilot on a small slice of the operation first, and prove the value with your own numbers before you scale.
See the full approach →Industries
Where we deploy this most.
IoT pays back fastest where physical assets move, spoil, or wear, and a late signal is expensive.
Logistics & Supply Chain →
Fleets, deliveries, and stock tracked from depot to door.
Manufacturing →
Production lines, quality, and output you can see live.
Agriculture & AgriTech →
Farms, inputs, and yields monitored from field to market.
Automotive →
Workshops, dealerships, and service bookings organised end to end.
Construction & Engineering →
Projects, sites, and progress tracked from plan to handover.
Real Estate →
Listings, viewings, and tenant management in one portal.
Questions
Asked before every IoT project.
What happens when the network drops? +
The devices keep recording locally and the platform catches up when the connection returns. Nothing is lost, and alerts that matter can also go out by SMS. We design for Nigerian connectivity as it is, not as the brochure says.
Do you supply the hardware? +
We specify and source proven devices for the job, or work with hardware you already have. The honest answer on build versus buy for devices is almost always buy, and we will say so.
Can this work with our existing trackers or sensors? +
Usually yes. Many operations already have devices and just lack the platform that makes the data useful. The audit confirms what your current hardware can give us.
How fast do we see value? +
The pilot is designed to answer that with your own numbers, typically within one or two months of going live on the first vehicles or machines.
Is the data secure? +
Device traffic is encrypted, access is role-based, and the platform follows the same security standards as everything else we build. Operational data is competitive data, and we treat it that way.
The signals are already there. Let us build the system that hears them.
Tell us what you need to watch, whether trucks, cold rooms, or machines. We will reply within one business day with a way to pilot it.
Discuss my IoT project →