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Antioch Secures $8.5M Seed Round to Solve Critical Sim-to-Real Challenges in Robotics

New York-based startup Antioch has raised $8.5M to build high-fidelity simulation infrastructure that accelerates the development of autonomous physical systems.

New York-based startup Antioch has raised $8.5M to build high-fidelity simulation infrastructure that accelerates the development of autonomous physical systems.

NewDecoded

Published Apr 20, 2026

Apr 20, 2026

4 min read

Image by Antioch

Antioch announced an $8.5 million seed funding round co-led by A* and Category Ventures to advance its physical autonomy development platform. This investment values the New York company at $60 million and includes participation from several high-profile venture firms. The team intends to use the capital to refine its simulation tools that allow robots to learn in virtual environments. More details on their vision can be found on the official Antioch website.

The startup addresses the notorious sim-to-real gap where robots trained in software often fail when placed in physical environments. Antioch provides a deterministic, cloud-based platform where autonomous agents can iterate on their designs without the need for expensive real-world testing. This approach mirrors modern software engineering workflows, enabling rapid testing cycles that were previously impossible for physical hardware. By prioritizing software iteration, they significantly reduce the time and capital needed to deploy safe robotic systems.

At the core of the service is the Antioch Ark, a tool for creating precision-calibrated digital twins of existing robots. These twins simulate full sensor suites such as LiDAR and cameras to generate realistic data streams for training. By using massively parallel cloud simulation, engineers can run thousands of scenarios simultaneously to identify failure modes before a single physical prototype is built. This ensures that the final hardware is robust and reliable when it finally enters the real world.

Artificial intelligence plays a central role in the platform through the Antioch AI generative asset system. This technology automatically builds complex virtual worlds and testing environments tailored to specific industrial sites. Generative models also create unique edge cases, like adverse weather or sensor noise, ensuring that autonomous systems are prepared for unpredictable real-world conditions. This automated environment generation removes a significant manual workload for engineering teams and improves safety.

The founding team brings deep technical expertise from world-class organizations like DeepMind and Tesla Autopilot. CEO Harry Mellsop and his co-founders previously built and sold a successful company before launching Antioch together. They believe that bringing software-speed development to the $50 trillion physical economy will be the next major frontier for artificial intelligence. Their mission is to democratize access to the high-end tools required for sophisticated robotics development.


Decoded Take

Decoded Take

Decoded Take

The seed funding for Antioch signals a maturing market where simulation is moving from a niche research tool to essential industrial infrastructure. By providing a platform that mimics the real-world performance of sensors and physics, Antioch is tackling the most significant bottleneck in robotics development. This shift toward software-defined hardware testing allows startups to compete with established giants without needing massive physical testing facilities. Ultimately, this infrastructure could trigger a massive expansion in the $50 trillion physical economy as autonomous systems become safer and more affordable to deploy.

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