Celeris launches diffusion LLM API for sub-second agent loops

Repeat AI-infrastructure founders Tom Hamer and Jesse Clark are betting parallel decoding can move stronger models into voice and agent workflows.

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Primary source: PR Newswire

Why it matters

Celeris-1 gives diffusion language models a second commercial supplier and tests whether lower latency, rather than another capability gain, can reshape voice and agent software.

Illustration of tiny agent figurines racing along parallel data streams toward a device labeled Celeris, representing its diffusion LLM API enabling sub-second agent loops.

Tom Hamer and Jesse Clark launched Celeris-1 on July 27th, giving developers access to a diffusion-based language model that Celeris says can complete short reasoning calls in milliseconds and generate long responses at 1,664 tokens per second.…

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