AMRs, cobots, drones, inspection systems and intelligent machines must perceive, understand and act in the physical world — processing multimodal data locally, operating reliably without cloud dependency, and scaling from prototype to industrial fleet.

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Robotics systems

Robots and machines are moving beyond fixed programs. Physical AI systems need platforms that support perception, sensor fusion, real-time inference and on-device decision-making across complex, heterogeneous architectures.

Latency, connectivity constraints, privacy requirements and safety considerations mean AI cannot always run in the cloud. Robotics systems must process data locally, close to sensors and machines — even in disconnected or regulated environments.

Many robotics teams build working demos but struggle to industrialize them. Production-ready hardware, stable software, long lifecycle availability, and fleet update management are critical barriers that slow time-to-market.

Simplifies robotics

SECO combines modular embedded compute, edge AI enablement and lifecycle management into a scalable technology platform — supporting the full journey from evaluation and prototyping to industrial-scale deployment.

Unlike software-first or cloud-first approaches, SECO builds on decades of embedded hardware and industrial electronics expertise — providing the hardware depth, software tools and design-in know-how that real industrialization requires.

Clea OS and Application Hub complete the platform, enabling remote fleet management, AI workload deployment and lifecycle control across distributed intelligent machine fleets.

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Local AI, Without Cloud Dependency

Physical AI systems operating in manufacturing, logistics, outdoor or safety-critical environments often cannot rely on continuous cloud connectivity. AI must run locally, close to sensors and machines — with low latency, privacy control, offline capability and within the tight power and thermal budgets of mobile and embedded systems.

SECO provides embedded platforms with integrated AI acceleration, enabling perception, inference and decision-making directly on the device — reducing cloud dependency and supporting use cases where local processing is non-negotiable.

  • Supports multimodal AI workloads at the edge
  • Reduces latency and cloud infrastructure dependency
  • Delivers high AI performance per watt for mobile and compact Physical AI systems

From Prototype to Industrial Deployment

Moving from a working robotics prototype to an industrial product is where most development teams stall. Hardware maturity, supply chain stability, documentation, design-in support and long lifecycle availability are not optional — they are requirements.

SECO supports customers from first evaluation to production, providing stable modular platforms, carrier board design expertise, long-lifecycle availability and engineering support — creating a structured path from PoC to scalable deployment.

  • Accelerates design-in with production-ready modular compute
  • Reduces engineering complexity with proven building blocks
  • Supports a clear path from evaluation kit to volume production

Fleet Lifecycle and Long-Term Continuity

Deploying intelligent machines at scale requires more than hardware. Teams need remote monitoring, secure updates, device management, software traceability and maintenance workflows — sustained over years of field operation.

Clea OS and Application Hub provide centralized lifecycle management, secure OTA updates, observability and AI deployment capabilities for distributed robotics fleets — supporting operational continuity from launch through long-term maintenance.

  • Enables secure OTA updates across distributed fleets
  • Provides device monitoring and lifecycle control at scale
  • Supports AI workload deployment and management in the field

SECO is not a software company entering hardware or a cloud platform adding edge features. We are an embedded systems partner — built from the ground up for industrial applications that require reliability, longevity and real-world performance.

Decades of experience in modular embedded computing, industrial electronics and heterogeneous architectures — across the full range of standard form factors.

Hardware, Clea OS, Application Hub and design-in support — one partner for the full journey from compute selection to fleet-scale operation.

AI and inference that runs locally, close to sensors and machines — not dependent on cloud connectivity, and optimized for the power, thermal and latency constraints of real robotic systems.

From evaluation kit to volume production — carrier board expertise, long lifecycle availability, supply chain stability and engineering support when you need it most.

cta-robotics

Build a better robotics system with the right embedded platform

Choosing the right embedded platform starts with understanding your application's requirements. From humanoid robots to warehouse AMRs, every robotics application has unique compute, connectivity, and power demands. Download our guide to explore the technical requirements of today's most common robotics applications and discover which SECO embedded platforms are the best fit for each workload.

Inside the guide

  • Overview of the Robotics & Physical AI landscape
  • Key requirements across major robotics applications
  • Typical workloads and platform considerations
  • Recommended embedded platforms for applications ranging from humanoid robots and AMRs to industrial automation, healthcare and drones.

Download the guide

COM Express modules

SECO COM Express modules support high-performance edge AI workloads for robotics, Physical AI, machine vision, and intelligent industrial systems, combining modular compute, AI acceleration, connectivity, and long-term integration for demanding edge applications.

SOM-COMe-CT6

SOM-COMe-CT6-Dragonwing-IQ-X

COM Express Type 6 module based on Qualcomm Dragonwing IQ-X processors, designed for advanced robotics, AMRs, machine vision, and AI-intensive edge applications.​

Edge AI Vision AI Robotics performance

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som-come-bt6-ptl-front

SOM-COMe-BT6-PTL​

COM Express Type 6 module based on Intel® Core™ Ultra Series 3 processors, designed for high-performance robotics and Physical AI workloads.​

Edge AI High compute Advanced connectivity

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SOM-COMe-BT6-MTL

SOM-COMe-BT6-MTL​

COM Express Type 6 module based on Intel® Core™ Ultra processors, designed for embedded robotics systems requiring AI acceleration, graphics, and connectivity.​

Edge AI Advanced graphics Connectivity​

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SOM-COMe-BT6-ARL

SOM-COMe-BT6-ARL​

COM Express Type 6 module based on Intel® Core™ Ultra processors, supporting high-performance embedded workloads and multi-display robotics applications.​

High compute Advanced graphics Multi-display​

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SOM-COMe-CT6-R8000

SOM-COMe-CT6-R8000​

COM Express Type 6 module based on AMD Ryzen™ Embedded 8000 Series processors, with embedded NPU acceleration for robotics and Physical AI workloads.​

NPU acceleration Edge AI High-performance graphics​

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SOM-COMe-CT6-P100

SOM-COMe-CT6-P100​

COM Express Type 6 module based on AMD Ryzen™ AI Embedded P100 Series processors, designed for high-performance robotics and Physical AI workloads.​

AI acceleration DDR5 memory Advanced graphics​​

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SMARC modules

SECO SMARC modules provide compact, power-efficient embedded compute for robotics, AMRs, machine vision, sensor processing, and industrial edge AI applications.​

smarc-iq8-fake

SOM-SMARC-Dragonwing-IQ8

Enables AI-ready robotics compute for AMRs, cobots, drones, and intelligent industrial devices, with support for perception, sensor fusion, and on-device inference.​

Edge AI Sensor integration Low-power robotics

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SOM SMARC QCS6490

SOM-SMARC-QCS6490

Supports low-power edge AI for automated warehousing, AGVs, and smart intralogistics, with integrated AI acceleration and vision-oriented processing.​

Edge AI Vision AI Low-power robotics

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SOM SMARC ASL

SOM-SMARC-ASL​

Supports industrial embedded applications requiring reliable performance and low energy consumption in compact, power-constrained robotics systems.​

Low-power robotics Long lifecycle Industrial compute

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Clea OS provides a unified software foundation to deploy, manage and scale intelligent machines across their full lifecycle — from initial device configuration to long-term fleet operations and software updates.

SECO Application Hub offers ready-to-use AI and ML applications for edge devices, enabling faster validation and deployment of Physical AI use cases — across robotics, machine vision, industrial inspection and autonomous systems.

Together, they provide a structured path from development to scalable deployment, with consistent updates, observability and operational continuity across distributed fleets.

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Clea-Studio-AI
Physical AI for industrial machines

Learn how to overcome the challenges of bringing Physical AI from prototype to production with scalable edge computing, industrial-grade software, and lifecycle management

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Modular platforms, evaluation kits, and Clea enable faster prototyping, validation, and deployment, accelerating the transition from concept to production.

SECO provides an end-to-edge platform combining embedded hardware, AI acceleration, and Clea, simplifying integration across robotics systems.

A retrofit-first approach allows OEMs to enhance existing machines with edge computing, AI, and secure lifecycle management without replacing hardware.

Clea enables centralized device management, secure OTA updates, and observability tools to control and monitor distributed robotics systems.

Edge AI enables real-time data processing and low-latency decision-making directly on devices, improving performance, autonomy, and system reliability.