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The Stack Behind Fleet Intelligence

Every tool, framework, and infrastructure choice is benchmarked against real Nigerian road conditions, 3G connectivity, and enterprise-grade security before it ships.

Advanced circuit board representing Cognivolt AI infrastructure
Tech Stack

Tools We Trust in Production

Six categories, selected for low-latency performance, edge resilience, and long-term maintainability at enterprise scale.

🧠AI & Machine Learning
Python 3.11PyTorchTensorFlowScikit-learnOpenCVONNX RuntimeXGBoost
☁️Cloud & Infrastructure
AWS af-south-1DockerKubernetesTerraformRedisGrafanaPrometheus
📡IoT & Edge
OBD-II CAN BusMQTTLoRaWANRaspberry Pi 5Edge Impulse
🗄️Data & Backend
FastAPINode.jsPostgreSQLApache KafkaTimescaleDBElasticsearch
🗺️Mapping & GIS
Mapbox GL JSPostGISHERE MapsOpenStreetMapOSRM
📱Frontend & Mobile
React.jsReact NativeTypeScriptWebSocketsPWA
System Architecture

Five Layers, One Seamless Pipeline

From vehicle sensor to manager dashboard in under one second — fault-tolerant, edge-first, built for African road conditions.

01
Vehicle Layer
OBD-II DongleCAN Bus AdapterGPS ModuleIn-Cabin CameraIMU Sensors
02
Edge Processing
Raspberry Pi 5ONNX RuntimeEdge Impulse Models72h Local BufferMQTT Broker
03
Data Transport
4G/LTE PrimaryLoRaWAN FallbackTLS 1.3Apache Kafka StreamsAuto-Retry Logic
04
AI Processing
PyTorch Fault ModelsRoute OptimisationDriver CV PipelineTimescaleDBRedis Cache
05
Delivery Layer
FastAPI RESTWebSocket PushReact DashboardReact Native AppSMS / Push Alerts
Engineering Principles

How We Build

Four non-negotiable principles that govern every engineering decision at Cognivolt.

🌍

Africa-First Performance

Every system is benchmarked against real Nigerian road conditions, 3G connectivity, and power interruptions. If it doesn't work reliably in Lagos traffic, it doesn't ship.

🔍

Explainable AI

Every recommendation surfaces its confidence score and contributing factors. Fleet managers and investors see exactly why the system flagged a fault — no black boxes accepted.

🛡️

Data Sovereignty

All fleet data is stored within Nigerian borders on AWS Lagos (af-south-1). Operators retain full ownership with export and deletion rights enforced at the API level — NDPC compliant.

🔄

Continuous Learning

Our models retrain monthly on the latest fleet outcomes. Every fault prediction, route recommendation, and driver event feeds back into improving accuracy — the platform gets smarter with every season.

Interested in Our API?

Integrate Cognivolt's fleet AI directly into your own platform or infrastructure.

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