Sourcify
Effortlessly find and manage open-source dependencies for your projects.

The safety-certified operating system and middleware for autonomous mobility and robotics.

Apex.AI is a sophisticated software suite designed to bridge the gap between experimental robotics and production-grade autonomous systems. Its flagship product, Apex.OS, is a fork of the Robot Operating System (ROS 2) that has been completely rewritten to meet the stringent ISO 26262 ASIL-D safety standards required for automotive and industrial deployment. By providing a real-time, deterministic execution environment, Apex.AI allows developers to transition from research code to safety-certified production systems without changing their underlying architecture. The platform includes Apex.Middleware, which offers zero-copy communication for massive data throughput—essential for Lidar and Radar sensor fusion. In the 2026 market, Apex.AI stands as the primary competitor to proprietary stacks like NVIDIA DRIVE and Blackberry QNX, offering an open-standards approach that prevents vendor lock-in while maintaining the reliability of a certified real-time operating system (RTOS). Its architecture is designed for the 'Software-Defined Vehicle' (SDV) era, enabling modular updates and high-performance computing on the edge.
Apex.
Explore all tools that specialize in real-time sensor fusion. This domain focus ensures Apex.AI delivers optimized results for this specific requirement.
Explore all tools that specialize in generate code for ai applications. This domain focus ensures Apex.AI delivers optimized results for this specific requirement.
A safety-certified, hardened version of ROS 2 for automotive and industrial use.
Uses shared memory and pointers to transfer large sensor data packets between processes without copying data.
A cloud-to-edge data orchestration tool for managing vehicle telemetry.
Guarantees that software tasks execute within strict time limits to prevent safety failures.
Support for ARM64, x86_64, and specialized automotive SoCs.
Encrypted communication channels and signed firmware updates built into the core middleware.
Deep support for Hardware-in-the-loop simulation frameworks like IPG Automotive.
Initial enterprise consultation and safety requirement assessment (ASIL level determination).
Provisioning of Apex.AI SDK access and private repository credentials.
Configuration of host environment on Ubuntu 22.04/24.04 or QNX Neutrino.
Installation of the Apex.OS build toolchain and cross-compilation headers.
Hardware-in-the-loop (HIL) setup using supported boards (NVIDIA DRIVE, Renesas R-Car).
Migration of existing ROS 2 nodes to the Apex.OS safety-certified API.
Configuring zero-copy communication parameters in the Apex.Middleware layer.
Performance profiling using integrated tracing tools to ensure determinism.
Execution of the Apex.AI safety validation suite for local testing.
Final deployment to target ECU and integration with vehicle-level safety monitors.
All Set
Ready to go
Verified feedback from other users.
"Highly regarded by automotive engineers for its ability to turn ROS code into production-ready software. Praised for documentation and safety artifacts, though high cost is a barrier for smaller startups."
Post questions, share tips, and help other users.
Effortlessly find and manage open-source dependencies for your projects.

End-to-end typesafe APIs made easy.

Page speed monitoring with Lighthouse, focusing on user experience metrics and data visualization.

Topcoder is a pioneer in crowdsourcing, connecting businesses with a global talent network to solve technical challenges.

Explore millions of Discord Bots and Discord Apps.

Build internal tools 10x faster with an open-source low-code platform.

Open-source RAG evaluation tool for assessing accuracy, context quality, and latency of RAG systems.

AI-powered synthetic data generation for software and AI development, ensuring compliance and accelerating engineering velocity.