Apex.AI
Safety-critical OS for reliable autonomous mobility.
- Pricing:
- Free
Overview
Apex.AI is a software company that develops safety-critical systems for autonomous vehicles and intelligent mobility. Its flagship platform, Apex.OS, is a real-time operating system and middleware framework built on the Robot Operating System ecosystem. Apex.OS is designed to provide a deterministic, secure, and fault-tolerant execution environment for autonomous driving software, abstracting the underlying hardware while offering a familiar development workflow. The platform supports the full lifecycle of vehicle software—from early research and prototyping to series production—helping engineering teams bridge the gap between academic prototypes and commercially viable products.
At the core of Apex.AI's platform is a robust and modular software stack that manages communication, scheduling, memory, and I/O across heterogeneous compute architectures. It includes a rich set of drivers, libraries, and development tools that enable rapid integration of sensors, actuators, and perception algorithms. The software is engineered with functional-safety principles, incorporating memory protection, fault isolation, and deterministic replay capabilities. These features simplify the process of validating and certifying safety-critical systems, allowing engineers to focus on higher-level autonomy functions rather than low-level infrastructure concerns.
Apex.OS is well-suited for a wide range of mobility applications, including passenger vehicles, robotaxis, commercial fleets, and autonomous trucks. It is also applicable to autonomous mobile robots, automated guided vehicles, and other industrial systems that require high reliability and precise control. The platform scales from small embedded platforms to high-performance computing clusters, making it a practical choice for both low-speed logistics and high-speed on-road driving scenarios. Its modular architecture enables teams to reuse core software components across different programs, accelerating product development and reducing long-term maintenance costs.
Apex.AI also offers professional services, training, and technical support to help organizations adopt its software stack. Through comprehensive documentation, simulation environments, and reference architectures, developers can evaluate and validate their systems with confidence. With a strong commitment to interoperability and open standards, Apex.AI helps customers avoid vendor lock-in and keep pace with the rapidly evolving hardware and software landscape. As the autonomous mobility industry moves toward scale deployment, Apex.AI provides a dependable software foundation for safe and robust intelligent vehicles.
Core capabilities
- Real-time operating system
- A production-grade RTOS engineered for deterministic execution of safety-critical autonomous driving workloads.
- Functional safety architecture
- Built-in memory protection, fault isolation, and runtime monitoring to support ISO 26262 and other safety standards.
- Hardware abstraction layer
- Middleware and driver framework that decouples application software from specific compute platforms and sensor hardware.
- ROS-compatible development model
- Based on the Robot Operating System, enabling familiar workflows and access to a large ecosystem of open-source components.
- Integrated development toolchain
- Profiling, scheduling, and debugging utilities that streamline simulation, testing, and on-vehicle validation.
- Scalable deployment
- Supports everything from compact mobile robotics platforms to high-He-performance autonomous vehicles with heterogeneous compute resources.
- Lifecycle support
- Access to documentation, training, and consulting services to guide systems from rapid prototyping to production certification.
- Fault-tolerant software design
- Designed to maintain stable operation under thermal, electrical, and operational stress, ensuring reliable performance in real-world conditions.
Use cases
- Development of L4 autonomous driving systems for passenger cars
- Automated shuttle and ride-hailing services
- Autonomous trucking and freight transportation
- Automated guided vehicles in warehouses and industrial sites
- Delivery robots and logistics automation platforms
- High-performance advanced driver assistance systems
- Safety-critical control systems for mobile robotics applications
Who it's for
Automotive OEMs developing next-generation intelligent vehicles, Tier-1 suppliers building safety-critical vehicle components, Autonomous driving startups and mobility technology companies, Robotics and industrial automation companies, Embedded software engineers and robotics researchers, Functional safety and certification teams, Fleet operators and shared mobility service providers
