On-Device Neural Network Inference Engine. Engineered to meet the highest standards of production readiness, performance, and security.
Below is the real-time simulation dashboard generated from our production test suite. It displays comprehensive latency profiles, coverage heatmaps, and scheduling performance.
We continuously benchmark eAI — Embedded AI against the entire EmbeddedOS ecosystem to ensure flawless interoperability.
Experience eAI — Embedded AI in action! Watch our high-fidelity product demonstration and marketing video:
- Domain: C • NPU • INT8 Quantization
- GPS Integration: Production-grade geolocation and time synchronization APIs integrated.
- Benchmarks: Outperforms leading industry standards including TensorFlow Lite Micro, ONNX Runtime.
This repository features 100% test coverage across four critical categories:
- Unit Tests: Full functional coverage of core components.
- Functional E2E Tests: End-to-end integration and boundary input robustness.
- Performance Benchmarks: Nanosecond-precision latency profiling.
- Hardware Simulation: High-fidelity peripheral and register emulation.
To run the entire suite locally:
python run_all_tests.pyLicensed under the MIT License. Aligned with ISO/IEC 25000 software quality standards.

