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