Cognivolt Mobility is the AI intelligence layer that gives fleet operators and logistics investors a live, predictive view of every vehicle — reducing costs, eliminating downtime, and delivering auditable performance data at scale.
Cognivolt Mobility is a Lagos-based automotive AI company building the intelligence layer that bridges the gap between raw vehicle telemetry and the data-driven decisions that make fleets profitable, safe, and investable.
We deploy a suite of real-time ML models — processing OBD-II data, GPS streams, and driver behaviour signals — to give fleet operators, logistics companies, and mobility investors a live, predictive picture of their entire vehicle ecosystem.
From ride-hailing operators in Lagos to long-haul logistics firms spanning all of West Africa, Cognivolt turns raw vehicle data into competitive advantage and investor-grade performance reporting.
One unified AI platform covering every dimension of fleet performance — from the engine block to the investor dashboard.
ML models trained on OBD-II telemetry detect faults up to 14 days before failure — eliminating unplanned downtime across your entire fleet.
Real-time traffic, weather, and load data feed our routing engine — reducing journey time by up to 28% while cutting fuel consumption simultaneously.
Computer vision and telematics score every driver on safety, efficiency, and compliance — enabling targeted coaching and insurance optimisation.
A single real-time interface showing location, health, fuel level, and driver score for every vehicle — accessible on web and mobile.
For electric fleets — charge scheduling that maximises battery life, prevents stranded vehicles, and slashes energy costs via off-peak optimisation.
Plug-and-play OBD-II dongles retrofit any vehicle into a fully connected data-streaming asset in under 30 minutes per vehicle.
Enterprise fleets across Nigeria running on Cognivolt have achieved measurable, auditable operational improvements.
Predictive maintenance across 180 trucks eliminated ₦42M in annual breakdown costs. Route AI cut average delivery time by 22%.
Driver scoring across 600 vehicles dropped insurance premiums 18%. Passenger complaint rates fell 41% within two quarters of deployment.
Real-time monitoring across 240 BRT buses reduced service delays by 34% and delivered live arrival data to commuters for the first time.
Dynamic routing AI cut average emergency response time by 6.2 minutes across a 48-vehicle ambulance fleet — directly improving patient outcomes.
Whether you manage 10 vehicles or 10,000 — Cognivolt's feature set scales with your operation.
SMS and push notifications within 90 seconds of any sensor anomaly — reaching managers before drivers notice a problem.
Sub-second GPS for every vehicle with geofence alerts, route deviation detection, and full historical journey playback.
Automated monthly reports with verified fleet utilisation, cost-per-km metrics, and ROI projections for boards and LPs.
24/7 conversational AI answers maintenance questions, recommends service intervals, and escalates critical issues instantly.
RESTful API connects Cognivolt to your existing ERP, accounting, and dispatch systems — no replacement required.
OBD-II dongle buffers data locally — auto-syncing on reconnect so no data is ever lost in low-signal corridors.
AES-256 encryption, role-based access, two-factor auth, and NDPC-compliant data residency within Nigerian AWS infrastructure.
Live weather data fused into route planning reduces weather-related delays and accidents across long-haul corridors.
Every layer selected for low-latency performance, reliability in bandwidth-constrained environments, and enterprise security.
"Cognivolt's predictive maintenance AI paid for itself in the first three months. We went from two breakdowns per week to near-zero unplanned stoppages across our entire fleet."
"The driver behaviour scores transformed how we coach our team. Insurance costs dropped, passenger ratings improved, and our top performers are finally rewarded fairly."
"As an infrastructure investor, Cognivolt's verified fleet utilisation data is the most credible asset-performance reporting I've encountered in the African mobility sector."
Two founders with deep domain expertise across automotive engineering, AI infrastructure, and African mobility markets.
Former automotive engineer turned entrepreneur. 12+ years spanning EV powertrain design and mobility venture building across West Africa.
📞 +234 810 981 9413
ML engineer and distributed systems architect. Previously led AI infrastructure at a Series B logistics startup, processing 50M+ vehicle data points daily.
Join leading operators and investors across West Africa already running on Cognivolt Mobility.