Antioch, a startup barely a year old, just locked down $32 million in Series A funding to expand its cloud-based simulation platform for physical AI and robotics. Greylock led the round, with participation from A*, Category Ventures, Box Group, Icehouse Ventures, and a roster of angel investors that reads like a tech industry Rolodex.
The company’s pitch is straightforward: building robots and drones is expensive, slow, and error-prone when your only testing option is the physical world. Antioch wants to move most of that process into high-fidelity virtual environments, where teams can break things thousands of times without bending a single piece of metal.
The funding trail
This Series A follows an $8.5 million seed round that closed in April 2026 at a $60 million valuation. Combined with earlier pre-seed money, Antioch has now raised roughly $44.6 million in total equity funding.
The angel investor list is worth noting. Shyam Sankar, CTO of Palantir, participated alongside Adrian Macneil, CEO of robotics tooling company Foxglove, and Ian Andrews, an executive at NVIDIA.
Greylock general partner Saam Motamedi described Antioch as “the core development platform for the next phase of physical AI.”
What Antioch actually builds
The platform lets engineering teams create digital twins of their hardware and run concurrent tests in virtual environments that closely mimic real-world physics.
Sensor simulation is a key piece of the offering. Rather than strapping a LIDAR unit to a prototype and driving it around a parking lot for six months, teams can generate synthetic sensor data in the cloud and validate how their systems respond to edge cases.
The technical challenge Antioch is tackling is known as the “sim-to-real gap,” which is the persistent mismatch between how something performs in a virtual environment versus the physical world.
Amazon’s Ring is already a customer, using the platform to improve drone and device development. The company also counts Fortune 500 and major tech firms among its early clients, though specific names beyond Ring haven’t been disclosed.
Why physical AI needs a testing overhaul
The robotics industry has a bottleneck problem. Software companies can ship code updates multiple times a day. Hardware companies building autonomous systems might spend months on a single testing cycle, because crashing a $50,000 prototype into a wall teaches you exactly one lesson at a very high cost.
Antioch’s founders, who came from companies like Tesla, Google, and Meta, apparently experienced this friction directly before deciding to build a solution.