Engineering + Applied Research

Engineering intelligent systems
from edge to cloud.

Applied R&D across artificial intelligence, embedded systems, automotive platforms, cloud infrastructure, systems performance, and emerging computing.

AI / MLEDGE AIC / C++RUST AOSP / AAOSLINUXGOOGLE CLOUDQUANTUM R&D
Engineering domains

Where software meets systems.

Zenova focuses on technically demanding problems that span device software, intelligent applications, connected platforms, and system-level reliability.

01 / INTELLIGENCE

AI & Intelligent Systems

LLMs, RAG, agentic workflows, on-device ML, inference optimization, and AI-assisted engineering.

02 / EDGE

Embedded & Edge Computing

C/C++, Rust, Linux, firmware, IPC, device services, diagnostics, and constrained-system design.

03 / MOBILITY

Automotive Platforms

Android Automotive, AOSP, HAL integration, CAN, BLE, telematics, infotainment, and platform services.

04 / CLOUD

Cloud & Connected Systems

Google Cloud, Firebase, APIs, OTA workflows, observability, backend integration, and connected-device architecture.

05 / PERFORMANCE

Systems Performance

Concurrency, race conditions, deadlocks, memory behavior, latency analysis, profiling, and reliability engineering.

06 / RESEARCH

Emerging R&D

Quantum ML, QCNN experimentation, edge intelligence, hybrid architectures, and AI-assisted software development.

Applied research

Exploring architectures before they become obvious.

Research themes connect practical engineering with new methods in AI, embedded computing, automotive software, and quantum machine learning.

Featured / Edge AI

Voice-first embedded AI systems with edge-to-cloud intelligence.

Architecture research around local inference, machine interfaces, hardware integration, diagnostics, OTA, secure backend communication, and cloud-assisted reasoning.

Automotive

AAOS & AOSP platform engineering

HAL integration, connectivity, system services, performance, audio, and platform reliability.

Quantum ML

QCNN & hybrid learning experiments

Exploring quantum-assisted classification and hybrid classical/quantum workflows.

Technical depth

Built across the full stack of intelligent devices.

From low-level execution and device integration to cloud services and AI workflows.

Systems & platform engineering

LanguagesC, C++, Rust, Java, Kotlin, Python
PlatformsLinux, Android, AOSP, AAOS, RTOS
ConnectivityBLE, Wi‑Fi, CAN, NFC, IPC, messaging
ReliabilityProfiling, concurrency, memory, diagnostics, security

AI, cloud & research

AI / MLLLMs, RAG, TensorFlow, TFLite, scikit-learn
CloudGoogle Cloud, Firebase, APIs, automation, observability
Edge AIQuantization, pruning, latency tuning, constrained inference
ResearchQCNN, quantum ML, hybrid architectures, experimentation
Build / Research / Explore

Working on a difficult systems problem?

Explore Zenova's engineering and research work across embedded platforms, intelligent systems, automotive software, and connected cloud architectures.