Technology

Core platform technologies for secure, deterministic, and scalable edge systems.

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

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

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

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

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