SERVICES
Managed Engineering, End to End.
Four engineering units. One accountable partner. From kernel to consumer release — we cover the full stack required to ship.
SOLUTIONS
Our Managed Engineering Units
Platform & OS Systems
The Goal: Eliminate Technical Drift and Branch Fragmentation.
- Upstream Integration: Managing code intake from silicon providers/open-source and merging into proprietary branches.
- Mainline Alignment: Continuous framework and kernel synchronization to ensure future OS compatibility.
- Middleware Optimization: Fine-tuning layers between hardware and applications to maximize system responsiveness.
- Patch Governance: Methodical backporting of security fixes and vulnerabilities across all active versions.
Embedded System & Connectivity
The Goal: Engineering stable, high-bandwidth device software.
Platform Bring-Up & Stabilization: Transitioning silicon from initial power-on to production-ready software states.
- Next-Gen Connectivity Stacks: Implementation of Wi-Fi 7, 5G/6G, and low-latency networking protocols.
- Hardware Abstraction (HAL): Standardizing interfaces to enable modular component swaps without codebase rewrites.
- Digital Media & OTT Engineering: End-to-end media pipeline optimization and DRM integration for streaming systems.
- Power & Thermal Management: Software-level tuning to optimize energy consumption and heat profiles.
- Custom Firmware & RTOS: Optimization for OpenWRT, FreeRTOS, and specialized microkernel environments.
Automation & Quality Engineering
The Goal: 2.5x Faster Release Cycles with High-Confidence Validation.
- Accelerated CI/CD: Building automated “factories” to test every commit and shorten the tip-to-green window.
- Strategic Test Architecture: Designing logic-driven plans and “Golden-file” targets to validate complex features.
- Regression & Compliance: Automated suites to prevent functional breaks and meet global standards (CTS/VTS).
- Physical Device Validation: Rigorous, scripted validation executed on physical devices vs. emulators.
- Observability Dashboards: Real-time transparency into project health, bisection status, and stability metrics.
AI System & Feature Validation
The Goal: Validating AI performance, lifecycle, and system integration.
- Inference & Dataset Evaluation: Automate on -device testing across diverse SoC architectures to validate model accuracy and ensure high -performance inference via “Golden -file” targets.
- Generative AI & Feature Stability: End -to -end verification of LLMs and RAG architectures, managing global locale expansions and backend triage for software reliability.
- Computer Vision & Edge Productization: Scale AI on specialized hardware (e.g., NVIDIA Jetson), executing real – time video analytics, spatial tracking, and hardware – accelerated model optimization.
- Automation & MLOps Engineering: Architect scalable test frameworks and automated ML pipelines, developing modular scripts and regression suites that adapt to new system versions.
What We Do
Core Engineering Services
Deep technical ownership across the entire platform stack — from silicon to production.
Branch Integration
We bridge the critical gap between initial development and global deployment — stabilizing complex software variants into production-ready platforms at scale.
Mainline Greenness
Continuous framework and kernel synchronization to ensure future OS compatibility and mainline readiness.
OS & Kernel Engineering
Deep kernel-level expertise across AOSP, Linux LTS, and custom OS variants for Tier-1 silicon targets.
Connectivity Stacks
Wi-Fi 7, 5G/6G, and low-latency networking protocol implementation for next-gen connected products.
Custom Firmware
Optimization for OpenWRT, FreeRTOS, and specialized microkernel environments for embedded platforms.
Model Eval & Benchmarking
Cross-platform AI model evaluation and benchmarking across diverse SoC architectures and edge targets.
Accelerated CI/CD
Building automated factories to test every commit, shortening the tip-to-green window with 2.5x throughput.
Platform Bring-Up
Transitioning silicon from initial power-on through stabilization to production-ready software states.
AI Infra & MLOps
Scalable ML pipelines, automated regression suites, and edge AI productization across silicon families.
