Benchmarking Synthetic Data Solutions: A Technical Comparison
The demand for privacy-preserving, scalable data has pushed synthetic data solutions to the forefront of AI development. Data engineers must juggle…
Read more →Antioch builds simulation tooling for physical AI: robotics teams create digital instances of their hardware, connect simulated sensors that mimic real-world data, and use the environment for reinforcement learning, edge-case testing, and synthetic training-data generation without physical test arenas. Founded by Harry Mellsop, Alex Langshur, Michael Calvey, Collin Schlager, and Colton Swingle (formerly of Meta Reality Labs and Google DeepMind), the New York-based company raised an $8.5M seed round led by A* and Category Ventures, with participation from MaC Venture Capital, Abstract, Box Group, and Icehouse Ventures.
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