Hedra Launches Model Factory, an Autonomous Post-Training and Inference Platform for Real-World AI

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San Francisco, CA, Nov. 10, 2026 (GLOBE NEWSWIRE) -- Hedra, an...

San Francisco, CA, Nov. 10, 2026 (GLOBE NEWSWIRE) -- Hedra, an a16z-backed research company building models and infrastructure for multimodal and physical AI, today launched Hedra Model Factory, an autonomous post-training and inference platform for building models for the real world. The platform combines flexible GPU sandboxes, post-training run by Hedra researchers working with autonomous AI agents, co-optimized low-latency deployment, and a data flywheel that keeps improving each model after it ships.

Models that improve themselves are accelerating frontier research. Hedra Model Factory applies that loop to real-world problems, where data is multimodal and orders of magnitude larger than text, and where reinforcement learning environments and simulators often need GPU acceleration just to run at scale. Hedra grew revenue 15x over the past 12 months, and the platform opens the research and infrastructure behind that growth to teams that need custom models built on their own data.

“Recursive self-improvement is already changing how frontier models get built,” said Michael Lingelbach, founder and CEO of Hedra. “The next step is the real world, where the data is video, sensors and simulation. Hedra Model Factory gives robotics, manufacturing, biology and defense teams the infrastructure to post-train, deploy and keep improving their own models.”

From Compute to a Data FlywheelCompute. Hedra GPU sandboxes give teams flexible capacity running on Hedra’s inference engine, so they can scale training up without locking into long-term GPU commitments.

Post-training. Teams bring their simulation engines and data, and Hedra helps build the reinforcement learning environments and datasets they need. Hedra researchers work alongside each customer’s team, using tools such as vision-language models that caption and score data or give feedback during online reinforcement learning.

Deploy. Models run on low-latency compute, on premises or at Hedra's nearest partner data center, from…

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