From the source
In February 2025, we launched our first model, Mercury, which is the first commercially available diffusion-based LLM (dLLM).
Mercury is up to 10X faster and more efficient than today’s LLMs while delivering best-in-class quality.
Today, we are pleased to announce two major milestones.
First, we recently closed a $50M financing round , led by Menlo Ventures and joined by several other top venture funds and angels, including Andrew Ng and Andrej Karpathy.
These investors share our belief that dLLMs are the future of language models and are betting on our ability to scale this technology and bring it to every developer and enterprise.
Second, we are releasing a more powerful version of Mercury, our flagship dLLM.
This release delivers improvements in coding, instruction following, mathematical problem solving, and knowledge recall.
See footnote for details on methodology.
The diffusion difference Today’s LLMs are painfully slow and expensive.
They use a technique called autoregression to generate tokens, letters, code, and words sequentially.
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