Antioch provides a development and simulation platform for autonomy teams to build, evaluate, and deploy autonomous systems entirely in software. The platform shifts robotics validation workflows from hardware-in-the-loop to pure software, integrating natively with existing CI/CD processes. Its Ark containerization creates a version-controlled artifact that ensures deterministic performance, effectively closing the sim-to-real gap for test-driven autonomy development.
Funding
Funding not disclosed
Founders
Product
Problem
Robotics and autonomous system development often depend on hardware‑in‑the‑loop testing, which creates bottlenecks and limits rapid iteration. The gap between simulated performance and real‑world behavior makes it difficult to validate algorithms before deployment. Existing toolchains rarely integrate with modern CI/CD pipelines, preventing test‑driven development practices for autonomy.
Solution
Antioch delivers a software‑only development and simulation platform that lets autonomy teams design, evaluate, and verify robotic systems without physical hardware. The platform embeds directly into standard CI/CD workflows, enabling automated regression testing and continuous validation of perception, planning, and control stacks. Its Ark containerization model packages the complete hardware abstraction and software stack into a version‑controlled artifact, guaranteeing deterministic execution in both simulation and on the target platform. By collapsing the sim‑to‑real gap, Antioch turns simulation from an optional step into the default validation layer, accelerating development cycles and reducing hardware wear. The system provides unified telemetry and result reporting, allowing engineers to compare simulated and real runs side‑by‑side.
Target Audience
The primary customers are autonomy engineering teams building self‑driving cars, drones, warehouse robots, and other intelligent machines that require rigorous software validation before field deployment.
Features
- Ark containers encapsulate sensor models, drivers, and control code into a single, reproducible artifact with full version control
- Native CI/CD integration supports automated build, test, and deployment pipelines for autonomy codebases
- Deterministic compute architecture ensures identical timing and numerical results in simulation and on physical hardware
- Scalable cloud‑based simulation engine with support for high‑fidelity physics, lidar, camera, and radar models
- API‑driven test orchestration enables batch execution, parameter sweeps, and regression tracking across code commits
- Real‑time telemetry sync and unified dashboard for side‑by‑side comparison of simulated and live robot data
- Extensible plugin framework for custom sensor plugins, environment generators, and safety validators