Secure Edge Intelligence
Deterministic Embedded Systems
Edges AI Systems architects and implements secure, deterministic Edge-AI and embedded platforms for mission-critical and safety-regulated industries. From semiconductor initialization through runtime isolation and real-time AI optimization, we engineer production-grade systems designed for certification, long-term lifecycle reliability, and uncompromising operational assurance.
Solutions
Production-grade technologies and engineering services that enable intelligent, secure, and continuously operating systems at the edge.
Silicon & Platform Engineering→
End-to-end silicon validation from RTL to production bring-up.
Key Capabilities
- 01Pre-silicon RTL verification and testbench development
- 02UVM-based functional verification strategies
- 03Coverage analysis and regression automation
- 04FPGA prototyping and emulation environments
- 05Firmware-assisted silicon validation
- 06Post-silicon bring-up and hardware debug
- 07Signal integrity and high-speed interface validation
- 08Performance characterization and stress testing
Boot Loader & Secure Boot→
Secure boot architecture and chain-of-trust implementation.
Key Capabilities
- 01Custom bootloader architecture and bring-up
- 02Secure boot and chain-of-trust enforcement
- 03Root of Trust integration
- 04Firmware signing and verification
- 05Anti-rollback protection
- 06Secure update frameworks
Secure Hypervisor→
Secure, type-1 virtualization enabling deterministic partitioning.
Key Capabilities
- 01Type-1 hypervisor architecture and integration
- 02Real-time partitioning and deterministic scheduling
- 03Mixed-criticality workload isolation
- 04Secure virtualization and hardware-assisted virtualization support (ARM VE, virtualization extensions)
- 05Inter-partition communication mechanisms
- 06Resource allocation and memory isolation
- 07Safety-oriented system architecture support (ISO 26262 / DO-178C alignment)
Device Drivers & I/O Subsystems→
Production-grade driver and I/O subsystem integration.
Key Capabilities
- 01Linux kernel and RTOS driver development
- 02Interrupt handling and DMA optimization
- 03High-speed interface enablement (UCIe, PCIe, USB, Ethernet, CAN)
- 04Memory-mapped I/O and register-level integration
- 05Power management and low-latency tuning
- 06Middleware and hardware abstraction layer (HAL) integration
- 07Performance profiling and real-time debugging
RTOS & OS Implementation→
Deterministic RTOS and OS integration for safety-critical embedded systems.
Key Capabilities
- 01RTOS and Linux porting
- 02Kernel customization and optimization
- 03Real-time scheduling and latency control
- 04Multi-core (SMP/AMP) architecture
- 05Memory protection and safety partitioning
- 06System hardening and performance tuning
Edge AI Embedded Systems→
Architecture-driven integration of AI workloads into embedded platforms.
Key Capabilities
- 01AI model deployment on embedded SoCs
- 02Hardware acceleration (NPU / GPU / DSP) integration
- 03Real-time inference optimization
- 04Memory and power footprint tuning
- 05Secure AI runtime integration
- 06Edge-to-cloud data orchestration
HMI & GUI Systems→
Production-grade human–machine interfaces delivering responsive, secure, and real-time visualization.
Key Capabilities
- 01Industrial and medical HMI design
- 02Cross-platform GUI development (Qt / embedded Linux / Windows)
- 03Real-time monitoring and control interfaces
- 04Hardware-accelerated graphics integration
- 05Multi-display and touch interface support
- 06Performance optimization and system integration
Full-Stack Web & Cloud Platforms→
Cloud-native web architectures delivering secure, scalable, and production-ready digital systems.
Key Capabilities
- 01Frontend web application development
- 02Backend APIs and microservices
- 03Database architecture and optimization
- 04Cloud infrastructure (AWS / Azure / GCP)
- 05DevOps, CI/CD, and containerization
- 06Authentication and security architecture
Functional Safety & Certification→
Standards-aligned engineering ensuring safety compliance for regulated embedded systems.
Key Capabilities
- 01ISO 26262 ASIL D Compliance Support
- 02DO-178C Aerospace & Defense Alignment
- 03IEC 62304 medical software processes
- 04ISO 21434 cybersecurity integration
- 05Safety architecture and hazard analysis
- 06Traceability, documentation, and audit preparation
Technology
Core platform technologies for secure, deterministic, and scalable edge systems.
Secure Boot & Root of Trust→
Hardware-anchored trust chain from first instruction.
Platform Architecture
- 01Hardware Root of Trust architecture (eFuse, TPM, HSM, secure elements)
- 02Chain-of-trust implementation from BootROM through OS
- 03Cryptographic image signing and verification (RSA/ECC/SHA-2/3)
- 04Measured boot and attestation support
- 05Anti-rollback protection and secure version management
- 06Secure firmware update frameworks (OTA-ready)
- 07Key management and secure provisioning workflows
- 08Trusted execution environment (TEE) integration
Edge AI Secure Kernel→
Protected runtime foundation for AI at the edge.
Architecture Highlights
- 01Deterministic real-time scheduling for AI inference workloads
- 02Secure execution isolation and memory protection
- 03Hardware acceleration integration (NPU / GPU / DSP)
- 04Lightweight, resource-optimized runtime for edge deployment
Deterministic Runtime Architecture→
Predictable execution behavior under real-world load.
Architecture Highlights
- 01Deterministic scheduling and bounded-latency execution
- 02Memory isolation and partitioned resource management
- 03Multi-core orchestration (SMP / AMP) with workload separation
- 04Performance monitoring and real-time system diagnostics
Safety-Certified Hypervisor→
Partitioned virtualization aligned to safety goals.
Platform Capabilities
- 01Certification alignment up to ISO 26262 (ASIL D) and DO-178C objectives
- 02Deterministic real-time partition scheduling
- 03Hardware-assisted virtualization (ARM virtualization extensions)
- 04Strong memory isolation and fault containment
- 05Mixed-criticality workload separation (safety, control, AI, HMI)
- 06Secure boot integration and trusted execution support
Real-Time AI Acceleration Framework→
Low-latency AI execution path optimization.
Platform Capabilities
- 01Real-time AI workload scheduling with bounded latency
- 02Hardware accelerator integration (NPU / GPU / DSP) with optimized data paths
- 03Low-latency inference pipelines and memory-efficient execution
Industries
Serving sectors where system integrity, security assurance, and continuous operation are essential.
Semiconductor→
Reduce time-to-production and mitigate silicon validation risk.
Industry Focus
- 01SoC bring-up acceleration
- 02Pre/post-silicon validation
- 03Secure boot enablement
- 04UCIe / PCIe interface integration
Automotive→
Enable safety-certified, secure multi-domain vehicle platforms.
Industry Focus
- 01ISO 26262 ASIL-D systems
- 02Mixed-criticality consolidation
- 03Secure OTA updates
- 04Zonal architecture
Aerospace & Defense→
Deliver certification-aligned, secure, mixed-criticality avionics platforms.
Industry Focus
- 01DO-178C DAL A/B software
- 02Secure partitioned avionics
- 03Deterministic execution
- 04High-assurance boot chains
Industrial Control→
Deliver secure, always-on industrial platforms with deterministic control and scalable AI-assisted operations.
Industry Challenges
- 01Deterministic real-time control
- 0224/7 uptime requirements
- 03Secure industrial networking
- 04Mixed-criticality consolidation (control + HMI + AI)
- 05Legacy system integration
Medical→
Accelerate compliant, secure, and reliable connected medical platforms with predictable real-time behavior.
Industry Focus
- 01IEC 62304 compliance
- 02Secure connected devices
- 03Deterministic therapy systems
- 04Edge AI diagnostics
Cloud Infrastructure→
Build secure, scalable edge-cloud platforms with predictable performance and automated operations at enterprise scale.
Industry Challenges
- 01Secure multi-tenant isolation
- 02Scalable distributed architectures
- 03Edge-to-cloud orchestration
- 04Low-latency data pipelines
- 05Infrastructure automation
About Edges AI Systems
Edges AI Systems is founded on the principle that intelligence must be engineered with assurance, not merely integrated.
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