Production inference.
Recursive self-improvement.

Hedra is a research and infrastructure company bringing frontier inference to multimodal and physical AI. We serve your models and keep 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.

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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.

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.

Krea 3 inference optimization

Evidence · Krea 3 on AMD Instinct MI355X

22.9 s → 3.3 s

For Krea 3, our researchers tuned and then custom-implemented parts of the inference stack on AMD Instinct MI355X GPUs, using a quality check against a BF16 reference to decide which lower-precision settings to keep.

Median DiT time per edit fell from 22.9 s to 3.3 s for a 1 MP reference and 4 MP output on AMD Instinct MI355X GPUs, combined with model-level optimizations Krea provided. This measures DiT time, not full-request latency.

Read the engineering write-up

Before · 22.9 s

After · 3.3 s

1 MP reference · 4 MP output

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