Embedded, IoT & Cloud Engineering

Connect devices.
Turn data into intelligent action.

End-to-end engineering for connected automotive and industrial products — from edge hardware and embedded software to cloud integration, analytics, and predictive modelling.

What We Deliver

One engineering partner, device to cloud

Kinnovia's IoT & Cloud offering combines edge hardware design, embedded software, secure connectivity, configurable applications, and cloud analytics into a single, coherent engineering engagement. We build connected products that are tailored to your devices, workflows, and business goals — not generic platforms adapted after the fact.

Our automotive-grade embedded expertise — including ECU software, real-time frameworks, I/O, and communications — means we bring the same engineering rigour to connected products that the automotive industry demands from safety-critical systems.

E2E
Device-to-cloud delivery
RISC-V
IoT sensor platform
Zephyr
RTOS for embedded edge
AWS
Cloud infrastructure
Capabilities

Everything needed to build and operate a connected product

Device & Sensor Engineering

Custom IoT sensor and edge device development on RISC-V-based platforms. Hardware-software co-design, power optimisation, and production-ready embedded firmware.

Connectivity & Communications

Secure, reliable data transmission from edge devices to cloud infrastructure. Protocol selection, communication stack integration, and over-the-air update capability.

Cloud Integration

Scalable cloud backend on AWS EC2, designed for high-volume device data ingestion, storage, and processing. Secure APIs and data pipelines connecting devices to business systems.

Configurable Applications

Front-end applications configurable for each customer's devices, workflows, and operational context. Dashboards, alerts, and reporting built around your data — not a generic template.

Analytics & Reporting

Real-time and historical analytics that turn raw device data into operational visibility. Custom KPIs, trend analysis, and reporting aligned to your business processes.

Predictive Modelling

Machine learning models trained on your device data to predict failures, optimise maintenance intervals, and surface actionable insights before problems occur.

Solutions

Two platforms, one engineering foundation

Telematics Platform

Connected asset and fleet intelligence

A configurable telematics platform for automotive and industrial asset operators. Combines RISC-V-based IoT sensors, Zephyr RTOS firmware, secure cloud connectivity, and analytics dashboards into a deployable, customer-configurable solution. Designed for fleet visibility, remote monitoring, and predictive maintenance at scale.

  • RISC-V IoT sensors with Zephyr RTOS firmware
  • Secure device-to-cloud data pipeline on AWS
  • Configurable dashboards and alert workflows
  • Predictive maintenance and anomaly detection
Automotive Development Platform

ECU software and embedded development

An automotive-grade embedded development platform for ECU system software, real-time operating environments, I/O management, and communications stacks. Built for OEMs, Tier 1 suppliers, and development teams working on safety-critical vehicle software with demanding integration and compliance requirements.

  • ECU system software and BSP development
  • Real-time framework integration and I/O management
  • Communications stack design and integration
  • Automotive-grade quality and compliance support
Use Cases

Built for the Embedded Systems and industrial world

01

Fleet & Asset Visibility

Real-time location, status, and utilisation data across distributed vehicle and equipment fleets. Reduce operational blind spots and improve asset utilisation.

02

Remote Monitoring

Continuous monitoring of device health, environmental conditions, and operational parameters. Instant alerts and remote diagnostics without physical access.

03

Predictive Maintenance

Machine learning models that predict component failures before they occur. Shift from reactive to condition-based maintenance and reduce unplanned downtime.

04

Connected Vehicles

Telematics and data connectivity for passenger and commercial vehicles. Enable OTA updates, usage analytics, and driver behaviour insights.

05

ECU Software Development

Embedded software development for automotive ECUs across powertrain, chassis, body, and ADAS domains — with real-time OS integration and communications stack support.

06

Industrial IoT

Connected sensor networks for industrial equipment, production lines, and infrastructure. Operational data at the edge, processed and visualised in the cloud.

IoT edge-to-cloud architecture diagram
Architecture

A clear path from sensor to insight

01

Edge — Sensors & ECUs

RISC-V-based IoT sensors and automotive ECUs running Zephyr RTOS firmware. Data acquisition, local processing, and secure transmission at the device level.

02

Connectivity — Secure Transport

Encrypted, reliable communication channels between edge devices and cloud infrastructure. Protocol-agnostic design with OTA update support and connection resilience.

03

Cloud — Platform & Storage

Scalable AWS EC2-based backend for high-volume data ingestion, processing, and storage. Secure APIs connecting device data to analytics and business systems.

04

Applications — Dashboards & Insights

Configurable front-end applications, analytics dashboards, predictive models, and integrations with customer business systems and workflows.

Why Kinnovia

Custom engineering, automotive-grade expertise, scalable delivery

End-to-end ownership

One partner responsible for the full stack — hardware, firmware, connectivity, cloud, and application. No integration gaps between specialist vendors.

Automotive-grade rigour

Engineering practices shaped by automotive quality and safety standards, applied to every layer of the connected product — not just the vehicle software.

Configurable, not generic

Solutions designed around your devices, data, and operational context. Every engagement is scoped to deliver measurable value for your specific use case.

Scalable from prototype to production

Architecture and delivery models that scale from initial proof of concept through to production deployment and continuous improvement.

Ready to build your connected product?

Tell us about your devices, your data, and your goals. We will scope an end-to-end engineering engagement that delivers measurable results.