Production inference.
Recursive self-improvement.

We serve your multimodal and physical AI models, our model factory keeps improving them.

Production Inference

Your models, served faster.

Multimodal models push GPUs hard. We make yours faster with distillation and inference optimization, then run them on our infrastructure, so you don’t need your own serving stack.

Run your model on Hedra

Model Factory

Models built for your problem.

General-purpose models fall short on real-world problems. Our forward deployed researchers join your team, learn the problem and your hardware, and build your model with you.

Bring us your problem

Recursive Self-Improvement · Research Preview

Models that keep getting better.

Our researchers set the goals and guardrails. Agents run the experiments that keep improving your model. That is recursive self-improvement as a service.

See how the loop works

WMR

World Model Runtime

The first engine purpose built for multimodal training and inference.

Built by a frontier research lab advancing visual AI, WMR brings Hedra’s experience training and serving its own models to your workloads. Purpose-built for diffusion, video, and world models, it optimizes visual generation—from attention across frames to each denoising step.

Explore WMR

Read the research and methodology