Industrial-grade edge device
The SYNA EdgeBox is a compact, industrial-grade edge device designed to run the EdgeStack out of the box. It brings real-time intelligence directly to the shop-floor — enabling fast, reliable, and scalable AI deployment in production environments.
Based on the Toradex Verdin iMX8M Plus SoM
Up to 4× Cortex-A53 1.8 GHz cores + Cortex-M7 up to 800 MHz
Integrated NPU and ISP for edge AI acceleration
Dual-band WiFi 802.11ac (2×2 MU-MIMO) + Bluetooth 5
Runs the full COLIGO EdgeStack for data ingestion, analytics, and inference
Deploys quickly, without complex integration
Reduces latency and ensures reliable on-site decision-making
Small form factor for easy integration into existing systems
Built for 24/7 operation in industrial environments
Scalable and adaptable to specific I/O or environmental requirements
Turn Data Into Action
With SYNA + EdgeStack, you can unlock use-cases such as condition monitoring, predictive maintenance, quality optimization, and real-time machine insights — all directly at the edge.
Comparison
SYNA EdgeBox vs. Alternative Edge Devices
| Features | SYNA EdgeBox | Alternative Entry-/Mid-Tier Edge Gateways |
|---|---|---|
| Hardware Platform & Performance |
Based on Toradex Verdin iMX8M Plus (Arm Cortex-A53 up to ~1.6 GHz, with AI/vision capable SoM)
|
Often less powerful: e.g., Raspberry Pi-based or generic industrial gateway boards lacking dedicated AI/vision acceleration or industrial-grade SoM.
|
| Industrial Connectivity & Interfaces |
Gigabit Ethernet, dual-band WiFi 802.11ac 2×2 + Bluetooth 5, wide input voltage range (12–48 V) and wide temp range (-20 °C to +50 °C)
|
Typically fewer high-grade interfaces or narrower environmental specs; may lack WiFi 2×2, industrial-grade PSU or full temp range.
|
| Software & Edge Stack Integration |
Ship-ready for COLIGO EdgeStack — meaning optimized for AI/analytics, streaming learning and machine vision workloads.
|
May require additional software stack integration, less optimized for vision/AI, more general-purpose gateway role.
|
| Time-to-Value / Out-of-Box Use |
High - because purpose built with ready-to-use functionality i.e. monitoring, recording, analytics/AI, etc... in a secure environments.
|
Usually lower – additional setup, configuration, integration work required, may not be optimized for AI workloads.
|
| Scalability & Future-Proofing |
Designed for streaming learning, vision/AI work, enterprise/industrial use cases, all built-in
|
Often targeted at simpler IIoT or gateway tasks (data forwarding, protocol conversion) rather than full edge AI.
|
| Industrial Grade / Ruggedness |
Clearly specified for “industrial environments” with wide temperature range and robust specs.
|
Some devices may have industrial variants, but often consumer-grade or less rugged, narrower environment specs.
|
| Ecosystem & Customisation |
If SYNA does not meet all requirements, custom hardware solutions are possible in partnership.
|
Many alternatives are fixed off-the-shelf and may offer less customisation for industrial/AI use-case depth.
|
| Cost vs Capability |
Slightly higher upfront, but targeted for high-value edge AI use-cases (so better TCO for AI/analytics at edge)
|
Lower cost hardware may look attractive initially but may incur more integration/time cost and may limit AI capability or scale.
|
If you aim only for basic data collection or simple protocol conversion, many gateways suffice.
But if your strategy includes real-time analytics, machine vision, streaming learning, edge AI deployment, then SYNA EdgeBox delivers a ready-built platform with the connectivity, performance and hardened environment to support it.
From a TCO perspective: higher capability upfront may yield faster ROI through quicker deployment, fewer integration risks, and better support for advanced AI/automation use-cases.
