Logistics yard at dusk
Next-Gen Fleet AI · West Africa & Nigeria Corridors

Vehicle-level intelligence for every fleet you operate

Voided capacity, missed maintenance and lapsed compliance documents quietly cost operators millions every year. FleetSight reads condition and compliance from the inspection photos your field officers already capture — so problems surface per vehicle, before the vehicle goes down.

9,300+
Inspections Scanned
₦200M+
Downtime Recovered
99.8%
Vision Model Precision
23
Fleets in West Africa

Mack Pinnacle 64T #LAG-842-XD

Action Required
Apapa Logistics Hub — Bay 04• Inspected 14 mins ago
Vehicle AI condition scan
DEFECT_ID: TYRE_CRITICAL [99.1%]
CONFIDENCE: 99.1%
Model v2.4-AFRICA
Asset Health IndexFLEET HEALTH BENCHMARK
92 / 100
1 Action Item
Selected Finding (Wear)

Right Steer Tyre Tread Wear

Tread depth 2.1mm. Below national haulage safety threshold (3.0mm). Risk of blowout on expressway corridor.

Vision Confidence:99.1%
Urgency Level:critical
Asset Association:LAG-842-XD (Apapa)
All Detected Points
Tamper-Proof Audit RecordNDPR Certified
About FleetSight

We blend fleet operations and computer vision to change how vehicle portfolios are run

No operations team can physically inspect every vehicle every week. So fleets get managed on averages — a downtime percentage, a compliance rate — while individual assets slip through: a van grounded for a month, an insurance certificate that lapsed in April, a truck logged at the wrong depot.

We started FleetSight because the evidence already exists. Field officers photograph vehicles daily. We turn those photos into a per-vehicle record operators can act on.

Read our full story · Founded in Lagos, Nigeria
Fleet manager reviewing vehicle records on a tablet in a depot
Per-Asset Digital Ledger Active
LAG-DEPOT-01

“A truck stops disappearing between a spreadsheet row and a service bay.”

Core Services Architecture

Three pillars, one record per vehicle

A unified operating architecture that turns scattered inspection photos into verifiable per-vehicle action.

Vehicle-level condition & compliance detection
VISION OCR ENGINELive Tracking
Pillar 01

Vehicle-level condition & compliance detection

Read damage, wear and document status per vehicle from inspection photos your officers already take. Vision models isolate defects and extract certificate expiry dates automatically.

Roadworthiness & Insurance OCR
Tread & Body Defect Scoring
Explore condition detection Zero hardware to install
Pillar 02

Trip, allocation & handover pipeline

Turn bookings, driver handovers and vehicle moves into one auditable record per asset. Match inbound photos directly against departure states.

DISPUTE RESOLUTION:DOWN TO 4 MINS
Tamper-evident chain of custody
Pillar 03

Maintenance alerts & reporting

Work orders for mechanics with photos and parts attached, alongside portfolio-level downtime reporting for leadership.

WORK ORDER DISPATCH:AUTOMATED TO BAY
Parts & severity pre-attached

Measurable Impact

Why leading African fleets shift from averages to per-vehicle truth

Generic trackers report where a vehicle is. FleetSight reports whether it is actually fit to run.

Cut fleet downtime
↓ 42% Unplanned Groundings
OPERATIONAL PROOF · 01

Cut fleet downtime

Surface the vehicles sitting idle, running unroadworthy, or recorded in the wrong depot. FleetSight flags the asset, not the average, so a truck stops disappearing between a spreadsheet row and a service bay.

WITHOUT FLEETSIGHTWeekly spreadsheet summary misses trucks grounded behind repair bays.
WITH FLEETSIGHTInstant real-time flag the moment an officer snaps an inspection frame.
  • Idle and mis-recorded vehicles surfaced daily across all yards
  • Automated countdowns on roadworthiness, insurance and inspection papers
  • Escalation directly to depot heads before vehicles get impounded
Turn vehicles around faster
9 Days Faster Turnaround
OPERATIONAL PROOF · 02

Turn vehicles around faster

Condition status per vehicle tells maintenance and allocation teams what is genuinely deployable this morning — not what a weekly summary claimed on Monday.

WITHOUT FLEETSIGHTForecourts and depots guess deployable stock via WhatsApp messages.
WITH FLEETSIGHTReady / Needs-Work / Grounded status updated dynamically per vehicle.
  • Live ready / needs-work / grounded status per asset across all sites
  • Handover photos automatically compared against departure records
  • Disputes on damage closed within 4 minutes with dated evidence
Report with evidence
100% Photo-Backed Audit Trail
OPERATIONAL PROOF · 03

Report with evidence

Every inspection, repair and compliance check carries the photo that proves it. Client reviews, insurer claims and regulator checks stop being an archaeology exercise.

WITHOUT FLEETSIGHTWeeks of argument with insurers and clients over unverified damage claims.
WITH FLEETSIGHTTamper-evident timestamped photos tied permanently to vehicle VIN records.
  • Photo-backed inspection and repair history with GPS coordinates
  • Client-ready portfolio reporting by contract, client or depot
  • NDPR-compliant data encryption and strict multi-tenant access control
Interactive Operator ROI Model

Calculate your fleet's annual downtime recovery

Estimate your financial return based on actual Nigerian haulage, rental, and distribution benchmarks.

Quick Presets:
120 assets
10 vehicles250500+ vehicles
3 days
1 day (Optimized)4 days (Average)8 days (Critical bottleneck)
Tested across Lagos, Abuja, Port Harcourt and Accra corridors

Calculations factor in daily opportunity cost, avoidable regulator penalties (FRSC/LASG), and dispute resolution labor savings.

Projected Net ValueANNUAL IMPACT
Estimated Annual Recovered Capacity
₦126.4M/ year in saved revenue

Achieved by surfacing idle assets, catching mechanical wear before catastrophic roadside breakdown, and cutting repair turnaround.

Turnaround Speed
9 Days Faster
Per reconditioning cycle
Dispute Time Saved
15,360 Hours
Closed with dated photos
Built on AWS Cloud
Multi-tenant isolation & 99.98% SLA
NVIDIA TensorRT GPU Edge
<180ms image inference latency
Computer-Vision Native
Customized for African road conditions
NDPR Compliant by Design
Cryptographic photo chain of custody

Operator Field Reviews

What changes when the unit of management is the vehicle

Proven in Nigerian logistics yards, rental forecourts, and multi-site dealership groups.

240 Heavy Trucks · Apapa Corridor
“We run 240 trucks out of Apapa. Before FleetSight, a vehicle could sit unroadworthy for three weeks and nobody owned the problem. Now the flag reaches my depot manager the same day the photo is taken.”
Result: Recovered 21 days idle capacity per truck
Chukwuemeka Nwosu
Chukwuemeka Nwosu
Head of Fleet, Harbourline Logistics
85 Rental Assets · Abuja Airport Hub
“Handover disputes used to cost us more than repairs. Every car now leaves and returns with a dated condition record, so the conversation with the customer takes two minutes instead of two weeks.”
Result: ₦18.4M saved in disputed customer repair claims
Amina Bakare
Amina Bakare
Director of Operations, Ridgeway Car Rental
4 Forecourt Hubs · Accra & Tema
“Across four dealership sites we were guessing which stock was actually presentable. FleetSight gave us per-vehicle condition on the forecourt and cut our reconditioning turnaround by nine days.”
Result: 9 days faster forecourt turnaround
Kwabena Mensah
Kwabena Mensah
Portfolio Manager, Adom Motors Group

Leadership

Operators and vision engineers, in the same room

Deep operational experience across West African transport corridors combined with world-class computer vision systems.

Ikechukwu Chukwuebuka Douglas

Ikechukwu Chukwuebuka Douglas

Co-founder & CEO

Fleet Operations & Haulage Logistics

Fifteen years running haulage and rental fleets across West Africa, most recently as operations director for a 900-vehicle logistics portfolio.

Ngozi Eze

Ngozi Eze

Co-founder & CTO

Computer Vision & Edge ML Lead

Computer vision and ML lead. Built defect-detection systems for industrial inspection before turning them on vehicle condition data.

Proprietary Vision Architecture

AI that reads every vehicle, in every fleet you run

Multi-tenant by design: each operator keeps its vehicles, depots, users and records strictly isolated, while our models continuously refine condition detection on local African vehicle makes and road patterns.

STAGE 01Pixel-Level Segmentation

Early condition detection

Dents, panel damage, tyre wear, fluid leaks and missing parts identified from routine inspection photos — scored per vehicle, with the image coordinates attached.

STAGE 02Automated Work Orders

Targeted dispatch

Detected issues automatically transform into mechanic work orders routed to the right depot, bay and technician, with parts and urgency pre-assigned.

STAGE 0345% Downtime Cut

Downtime & cost savings

Maintenance spend goes to the vehicles that need it instead of blanket fleet-wide inspection cycles that miss the assets actually at critical risk.

Field Notes

Writing for people who run vehicles for a living

All articles
Freight trucks moving along an African highway at dusk
30-Day Zero-Risk Depot Pilot

Better-run fleets across every vehicle you operate

Bring FleetSight into your depots, forecourts and service bays. We'll map your current inspection flow and show you what per-vehicle visibility changes in the first 30 days.

Zero specialized hardware neededOffline-capable field captureNDPR & GDPR certified