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Our Services

IoT Services Engineered for the Physical World

From hardware design and embedded firmware to edge computing, cloud integration, and long-term fleet management, NodeWave delivers connected systems that operate reliably at scale.

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NODEWAVE_IOT_COMMAND_CENTER
Field unitONLINE
Signal
-67 dBm
Power
2.8 W
Deployment spine10 SERVICES
Hardware
PCB rev B
Firmware
RTOS stable
Edge
Rules local
Cloud
Ingest live
Analytics
Model armed
Fleet
FOTA ready
TLS certs validPASS
MQTT ingest onlinePASS
Edge buffer syncedPASS
LIVE TELEMETRY + FLEET HEALTH99.8% UPTIME
Devices
1,284
Anomaly
04
Mouse Track Axis Vector Active
IoT Services

What we offer

Click on any service to navigate to its details.

Hardware Design Lab

Hardware Development

We design production-ready IoT hardware from initial concept through to manufacturable product. Whether you need a custom sensor node, an industrial controller, or a ruggedized field device, we handle the full hardware design lifecycle.

  • Schematic capture and PCB layout design
  • Component selection optimized for cost, availability, and longevity
  • Enclosure design for field, industrial, and weatherproof environments
  • Design for Manufacture (DFM) review and fabrication documentation
  • Prototype bring-up, testing, and design iteration support
Start a Hardware Project
nodewave.net/hardware/schematic
SCHEMATIC_CAPTURE ERC_CLEAN
SENSOR_IF
I2C // ADC // GPIO
LTE_MODEM
UART // PWRKEY
POWER_TREE
12V -> 5V -> 3V3
DEBUG_PORT
SWD // UART LOG
STM32 MCU
> NETLIST_READY: 146 connections // 0 ERC warnings
Embedded Runtime Core

Embedded Firmware Development

We develop reliable, production-grade firmware for microcontrollers and IoT devices, from bare-metal C/C++ to RTOS-based systems, with a focus on power efficiency, stability, and long-term maintainability.

  • Firmware development for ESP32, STM32, and similar MCUs
  • RTOS task management and low-power mode optimization
  • AT command stacks for GSM/LTE modems including Quectel and SIM7xxx
  • MQTT, HTTP, CoAP, and Modbus protocol implementation
  • FOTA (Firmware Over-the-Air) update pipeline development
Start a Firmware Project
nodewave.net/firmware/rtos
FREERTOS_SCHEDULER TICKLESS_IDLE
Core 0
sensor_task
mqtt_task
wdt_task
Queues
msg_queue
Power
sleep: 18uA
> scheduler: stable // watchdog: armed // heap: 72% free
Protocol Integration Hub

IoT Device Integration

We connect and unify diverse IoT devices across your operations, regardless of manufacturer, protocol, or communication medium, into a single, manageable ecosystem.

  • Multi-protocol support: MQTT, HTTP, LoRaWAN, Modbus, BACnet
  • Cellular (4G LTE, NB-IoT, LTE-M) and RF network integration
  • Automated device provisioning and onboarding workflows
  • Device lifecycle management from deployment to decommission
  • Signal diagnostics, antenna optimization, and connectivity hardening
Plan Your Integration
nodewave.net/integration/protocols
MULTI_PROTOCOL_GATEWAY NORMALIZED
EDGE HUB
MQTT
telemetry/pub
LoRaWAN
uplink/rx1
Modbus
rs485 poll
BACnet
facility map
> payload normalized // device shadow updated // ack: 204ms
Local Intelligence Layer

Edge Computing

We deploy intelligent processing at the edge, on gateways and local nodes, so your systems can act on data immediately without depending on cloud round-trips or continuous connectivity.

  • Local data filtering, aggregation, and preprocessing at the gateway
  • Reduced bandwidth consumption and cloud egress costs
  • Offline operation and store-and-forward during connectivity loss
  • AI inference and rule-based logic execution at the edge
  • Edge-to-cloud synchronization when connectivity is restored
Deploy Edge Intelligence
nodewave.net/edge/gateway
EDGE_GATEWAY_RUNTIME LOCAL_FIRST
GATEWAY
FIELD_NODE_A
temp + flow
FIELD_NODE_B
vibration
LOCAL_DB
sqlite buffer
CLOUD_SYNC
mqtt bridge
> local processor online // upstream optional // latency: 18ms
Secure Telemetry Spine

Secure Data Pipelines

We build enterprise-grade data pipelines that carry sensor data from the field to your backend securely, with encryption, access controls, and compliance frameworks built in from day one.

  • End-to-end encryption across device, gateway, and cloud layers
  • Zero-trust architecture and certificate-based device authentication
  • Time-series data ingestion into InfluxDB, TimescaleDB, or cloud equivalents
  • Automated compliance controls and audit trail management
  • Threat detection, anomaly flagging, and security event alerting
Secure Your Pipeline
nodewave.net/pipelines/encryption
END_TO_END_ENCRYPTION TLS_1.3
DEVICE
mTLS cert
GATEWAY
cipher relay
CLOUD
KMS sealed
API
token scoped
SECURE PIPE
> frame encrypted at source // decrypted only inside trusted boundary
Telemetry Command Desk

IoT Dashboard Development

We build real-time monitoring dashboards that surface sensor telemetry, device health, and operational KPIs in a clear, actionable interface, accessible from any device, anywhere.

  • Live telemetry visualization and real-time sensor feed displays
  • Device status, uptime, and connectivity health panels
  • Configurable alert thresholds and multi-channel notification routing
  • Custom KPI tracking and exportable historical reports
  • Map-based asset tracking and geolocation views
Build Your Dashboard
nodewave.net/iot-dashboard/telemetry
LIVE_TELEMETRY_FEEDS ● LIVE
Tank Level
72%
Flow Rate
18.4 L/m
Motor Temp
42.8C
last 60 seconds
Cloud Operations Fabric

Cloud Infrastructure

We design and manage scalable, resilient cloud backends that grow with your connected device fleet, handling ingestion, storage, processing, and API access without becoming a bottleneck.

  • Auto-scaling ingestion pipelines for high-volume device fleets
  • Multi-cloud and hybrid deployment support across AWS, Azure, GCP, and self-hosted stacks
  • REST and WebSocket APIs for real-time and historical data access
  • Disaster recovery planning and automated backup workflows
  • Infrastructure cost monitoring and optimization
Scale Your Infrastructure
nodewave.net/cloud/ingestion
AUTO_SCALE_INGESTION ELASTIC
SOURCE
MQTT edge
SOURCE
HTTP gateway
SOURCE
LoRa bridge
consumer pool
Throughput
1.2M msg/hr
Lag
34ms
> autoscaler raised workers from 6 to 14 // queue depth stable
Predictive Intelligence Layer

AI & Predictive Analytics

We apply machine learning to your IoT data streams to move beyond reactive monitoring, detecting anomalies early, predicting failures before they happen, and surfacing insights that drive smarter operational decisions.

  • Predictive maintenance models for equipment and field assets
  • Anomaly detection across sensor streams and device behaviour
  • Pattern recognition for operational efficiency improvements
  • Automated insight generation and threshold recommendation
  • Model deployment at the edge or cloud depending on latency requirements
Unlock Predictive Intelligence
nodewave.net/analytics/maintenance
PREDICTIVE_MAINTENANCE_MODEL RUL_18_DAYS
Asset signals
vibration rms
motor current
bearing temp
pressure delta
Failure probability
service soon
> pump_04 predicted bearing service window: 18 days
Fleet Operations Layer

Device & Fleet Management

We provide long-term operational support for deployed IoT systems, keeping devices healthy, firmware current, and data pipelines running without interruption across your entire fleet.

  • Remote device health monitoring and proactive anomaly response
  • Scheduled and emergency firmware updates via FOTA
  • Connectivity diagnostics and remote field troubleshooting
  • Sensor calibration scheduling and drift correction management
  • Capacity planning and system expansion as your fleet grows
Set Up Managed Support
nodewave.net/fleet/health
REMOTE_FLEET_HEALTH 98.7% HEALTHY
Online
1,284
Warning
32
Critical
4
watch battery drift on tank_node_11
watch modem retry spike on gate_02
watch calibration due in 6 days
Technical Knowledge Base

Technical Documentation & Insights

We produce technical documentation, deployment guides, and IoT thought leadership that helps your team operate systems confidently and positions your organization as a trusted voice in the industry.

  • System architecture and integration documentation
  • Hardware setup, sensor deployment, and calibration guides
  • Firmware and communication protocol technical references
  • IoT deployment case studies and operational retrospectives
  • Industry insights focused on East African IoT adoption and trends
Explore Insights
nodewave.net/docs/architecture
SYSTEM_ARCHITECTURE_DOC REV_04
Sensor Layer
node maps + wiring
Gateway Layer
edge routing rules
Data Layer
time-series schema
Ops Layer
dashboards + alerts
> reviewed topology, data ownership, failover paths, and deployment milestones
Deployment Track

IoT Deployment Lifecycle

A structured, field-tested approach to taking IoT systems from concept to long-term production operation.

01
FIELD_AUDIT

Discover

We assess your environment, connectivity constraints, sensor requirements, and operational data goals.

02
SYSTEM_MAP

Design

We define the full system architecture: hardware topology, firmware stack, communication protocols, cloud backend, and deployment milestones.

03
FIELD_VALIDATE

Deploy

We manufacture hardware, develop firmware, configure gateways, integrate cloud backends, and validate the complete system under real-world conditions.

04
FLEET_SUPPORT

Support

We manage ongoing device health, push firmware updates, respond to field anomalies, and scale the system as your operations grow.