# www.inceptionlabs.ai

> AI-optimized mirror of www.inceptionlabs.ai containing 35 pages totalling 13,627 words of clean markdown content, structured data, and semantic HTML. Original source: https://www.inceptionlabs.ai/. Last updated: 2026-04-30T23:33:31.634Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [A new frontier in LLM speed](/site-root.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (711 words)

## Articles & Blog Posts

- [introducing-mercury/index.html](/introducing-mercury/index.html) (1 words)
- [blog/inception-amazon-bedrock2/index.html](/blog/inception-amazon-bedrock2/index.html) (1 words)
- [docs/privacy-policy/index.html](/docs/privacy-policy/index.html) (1 words)
- [about/index.html](/about/index.html) (1 words)
- [docs/terms-of-use/index.html](/docs/terms-of-use/index.html) (1 words)
- [Radient + Inception: Instant Decisions for Faster and Cheaper Agentic Work](/blog/radient-and-inception/index.html): 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. (969 words)
- [Introducing Mercury, the World’s First Commercial-Scale Diffusion Large Language Model.](/blog/introducing-mercury/index.html): We trained diffusion large language models that are up to 10x faster and cheaper than current LLMs, pushing the frontier of intelligence and speed for language models. (1,048 words)
- [SearchBlox + Inception: Real-Time GenAI Search at Enterprise Scale](/blog/searchblox-and-inception/index.html): Inception’s Mercury dLLM now powers SearchBlox SearchAI, unlocking ultra-low-latency, cost-efficient GenAI at scale. This partnership provides SearchBlox customers sub-second GenAI responses even on enterprise workloads. (634 words)
- [Introducing the Inception API](/blog/introducing-inception-api/index.html): We are excited to announce the release of the Inception API, providing programmatic access to our ultra-fast diffusion large language models (dLLMs)!  (487 words)
- [Introducing Mercury 2, the fastest reasoning LLM](/blog/next-edit-continue/index.html): Continue now features Next Edit, powered by Inception Labs, intelligently predicting and suggesting complex code edits before you make them. (1,088 words)
- [Mercury Diffusion LLM Now Available on Azure AI Foundry](/blog/mercury-azure-foundry/index.html): Today, we're thrilled to announce that Mercury is available on Azure AI Foundry, bringing the first commercial-scale diffusion large language model (dLLM) to enterprise developers. This release combines Inception's breakthrough diffusion architecture with Azure's enterprise-ready infrastructure, giving developers access to a model that delivers both exceptional speed and quality. (713 words)
- [Inception Labs’ Mercury Coder Diffusion LLM now Available via Poe](/blog/mercury-coder-available-on-poe/index.html): Today, we’re thrilled to announce the launch of Mercury Coder Small, our diffusion-based large language model (dLLM), on Poe.com. Designed for speed, efficiency, and versatility, Mercury-Coder-Small represents a major leap forward in AI model performance, offering 5X–10X reduced response times. (537 words)
- [Introducing Mercury, our General Chat Diffusion Large Language Model](/blog/introducing-mercury-our-general-chat-model/index.html): 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. (367 words)
- [The Next Step for dLLMs: Scaling up Mercury](/blog/mercury-refreshed/index.html): 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. (769 words)
- [Ultra-Fast Apply-Edit with Mercury Coder](/blog/ultra-fast-apply-edit-with-mercury-coder/index.html): 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.  (642 words)
- [Buildglare: Accelerating Low-Code Web Development with Mercury Coder](/blog/buildglare-and-inception/index.html): 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.  (802 words)
- [Mercury dLLM from Inception Labs Powering Microsoft NLWeb](/blog/mercury-and-nlweb/index.html): At today's Build Conference, Satya Nadella unveiled Microsoft’s NLWeb–an open project that enables websites to easily create AI-powered natural language interfaces. We are incredibly excited to be one of NLWeb’s founding partners, using our ultra-fast Mercury Small diffusion Large Language Model (dLLM) to enable lightning-fast, natural conversations.  (378 words)
- [blog/external-article-link-1/index.html](/blog/external-article-link-1/index.html) (1 words)
- [Introducing Mercury 2](/blog/introducing-mercury-2/index.html): Today, we're introducing Mercury 2 — the world's fastest reasoning language model, built to make production AI feel instant. (767 words)
- [Mercury Diffusion LLM Now Available on Azure AI Foundry](/blog/categories/partnerships/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (298 words)
- [Mercury 2 on PinchBench: Fast Diffusion Models and the Personal Agent Era](/blog/mercury-2-on-pinchbench/index.html): We evaluated Mercury 2 on PinchBench, the open-source benchmark built on top of OpenClaw — the fastest-growing open-source project in GitHub history, with 250K+ stars in under 60 days. (504 words)
- [Introducing Mercury Edit 2](/blog/introducing-mercury-edit-2/index.html): A next-edit diffusion LLM built for the fastest parts of your coding workflow (579 words)
- [Join us](/careers/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (136 words)
- [Introducing Mercury 2, the fastest reasoning LLM](/blog/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (451 words)
- [Research](/research/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (239 words)
- [Introducing Mercury 2](/blog/categories/product/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (287 words)
- [A Midsummer Day's Update](/blog/midsummer-update/index.html): Announcing a feast of updates to the Mercury models and to our API platform. (210 words)
- [Introducing Mercury 2, the fastest reasoning LLM](/blog/categories/company/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (185 words)
- [Build high-performance AI apps with Mercury](/models/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (301 words)
- [blog/https-www-tryproxy-io-blog-proxyai-inception/index.html](/blog/https-www-tryproxy-io-blog-proxyai-inception/index.html) (1 words)
- [blog/external-link-article-2/index.html](/blog/external-link-article-2/index.html) (1 words)
- [Mercury in Production](/enterprise/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (262 words)
- [Introducing Mercury 2, the fastest reasoning LLM](/blog/categories/customers/index.html): We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional auto-regressive LLMs. And diffusion models are more accurate, controllable, and performant on multimodal tasks. (254 words)
- [blog/inception-raises-50-million-to-build-diffusion-models-for-code-and-text.html](/blog/inception-raises-50-million-to-build-diffusion-models-for-code-and-text.html) (1 words)

## Resources

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