Blog

Today, we’re shipping an across-the-board upgrade to Mercury’s capabilities. This includes massively better performance on coding, instruction following, mathematical reasoning, and knowledge recall tasks.

Inception has raised $50 million to build diffusion-based AI models aimed at faster, more efficient software development than traditional LLMs.

Today we are partnering with Inception to bring faster, more consistent code edits to ProxyAI.

We're thrilled to announce that Mercury Coder–Inception’s diffusion LLM (dLLM)–now provides unmatched Apply-Edit capabilities, with speed and quality far exceeding those of the leading Apply-Edit models.

Today we're announcing the general availability of Mercury and Mercury Coder, Inception’s diffusion based Large Language Models, on Amazon Bedrock and SageMaker JumpStart. These models deliver unprecedented speed - up to 10x faster than traditional LLMs - while maintaining exceptional quality, making them ideal for enterprise applications requiring near real-time AI capabilities.

Continue now features Next Edit, powered by Inception Labs, intelligently predicting and suggesting complex code edits before you make them.

Radient is a Toronto-based AI research and development company building products and solutions that lower the cost and barriers to access to business productivity assistance for small businesses and sole proprietors. Radient’s first product release was Radient Automatic: a model routing solution for AI agents. By leveraging Inception’s fast and cost-effective diffusion Mercury model, Radient is able to power key components of the routing system that are responsible for predicting agentic task type and difficulty at every step.

Announcing a feast of updates to the Mercury models and to our API platform.

Buildglare is a natural-language, AI-powered low-code platform for rapidly creating full-stack websites. Inception’s Mercury Coder, the first commercial diffusion Large Language Model (dLLM), is ideal for Buildglare’s workflow. Mercury’s diffusion approach generates code in parallel passes rather than token-by-token, making in-place edits fast and efficient.

In February, we announced Mercury Coder, the first commercial-scale diffusion large language model (dLLM). Today, we’re excited to share that our first general chat model, Mercury, is leaving closed beta and is available on our playground and via our API.