Funding

Physical AI Startup Antioch Raises $32M in Series A Funding

Sep 12, 2026 | By Devin Jacobs

SUMMARY

Antioch raised $32M in Series A funding.
Funds will support product development and hiring.
Antioch builds simulation tools for robotics and AI.

Antioch, a NYC-based provider of a simulation platform for physical AI, has raised $32 million in a Series A funding round led by Greylock.

The round also saw participation from A*, Category Ventures, Box Group, Icehouse Ventures, Shyam Sankar, Adrian Macneil, and Ian Andrews.

The company plans to use the funding to accelerate product development, expand its engineering team and deepen simulation capabilities across robotics, drones, industrial automation and fixed perception applications.

Funding Snapshot

Metric	Details
Fundraise Amount	$32 million
Valuation	Not disclosed
Company	Antioch
Sector	AI / Robotics / Simulation
Headquarters	New York City, USA
Lead Investor	Greylock

RECOMMENDED FOR YOU

Funding

[Funding alert] FL-based Avalon Secures $10Million in Funding

Devin Jacobs

Apr 16, 2024

Funding

[Funding News] Learning.com Secures Growth Funding from CIBC Innovation Banking

Team SR

Aug 21, 2024

Funding

Aspen Neuroscience Raises $115M in Series C Funding

Startuprise

Nov 23, 2025

About Antioch

Founded in 2025 by Harry Mellsop, Alex Langshur, Collin Schlager, and Michael C., Antioch is a simulation platform designed to help robotics and autonomy teams develop, test and validate Physical AI systems before deploying them in the real world.

The platform provides high fidelity simulations calibrated to customers' own hardware and allows teams to scale from individual experiments to thousands of parallel evaluations.

Antioch is already working with Physical AI teams including Amazon's Ring and has partnerships with NVIDIA and Nebius.

Core offerings include:

High fidelity AI simulation
Robotics testing
Autonomous system validation
Cloud scale testing
Hardware calibrated simulations

Core Technologies / Products / Services

Capability/Product	Application/Use Case
High-Fidelity Simulation	Tests AI systems before real-world deployment
Hardware Calibration	Matches simulations to customers' physical systems
Parallel Evaluations	Runs thousands of tests at the same time
Robotics Simulation	Supports robot development and testing

Leadership Comments

"AI has transformed the pace, and possibilities of software development in the blink of an eye," said Harry Mellsop co-founder of Antioch. Now, physical AI is extending that same transformation into the real world. Bringing these systems into reality requires a new approach to testing, powered by high fidelity simulations that enable faster, safer and more reliable deployment."

"It's increasingly clear that Physical AI and robotics are hitting a key inflection moment," said Saam Motamedi, General Partner at Greylock. "As AI accelerates every industry, advantage comes from how teams can harness it to accelerate innovation cycles and the teams that do this best will win.