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Inception

What Inception does

Inception is an AI research and product company building diffusion-based language models intended for production deployments where latency and cost matter. The company’s core thesis is that, unlike autoregressive LLMs that generate text token-by-token in a fundamentally sequential way, diffusion-based language models can generate (and refine) multiple tokens in parallel over a small number of steps—shifting the speed–cost curve for real-time applications such as coding assistance, voice agents, and agentic workflows. Inception packages these models as a developer-accessible API and enterprise deployment options through its Inception Platform, and positions “Mercury” as its commercially available diffusion LLM family.

News

Company record

Sep 08, 2026 · Official · InceptionIntroducing Mercury 2.5

Inception announced Mercury 2.5 with published benchmark figures including a stated 40% increase in intelligence from Mercury 2, speed of 1,107 tokens/sec on NVIDIA GPUs, a 260K context window, and price points for input and output tokens. The post also announced a preview of Mercury Voice and Mercury Router alongside Mercury 2.5.

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Aug 11, 2026 · Official · InceptionMercury 2 for Search: Fast enough to run a hundred times per query

Inception published a detailed explanation of why diffusion is positioned to improve search pipeline latency, including per-step latency arguments for agentic search workflows and discussion of end-to-end latency/quality tradeoffs.

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Jul 14, 2026 · Official · InceptionMercury 2: the first reasoning model fast enough to pick up the phone

Inception introduced Mercury 2 as a reasoning diffusion language model positioned for real-time voice agent use cases, with published speed/price claims in the launch post.

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Jun 24, 2026 · Official · InceptionMercury 2 on Azure AI Foundry

Inception announced availability of Mercury 2 on Azure AI Foundry, describing Azure enterprise features (including data privacy and compliance claims) and providing an example Azure deployment endpoint approach.

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Jan 12, 2026 · Official · InceptionSearchBlox + Inception: Real-Time GenAI Search at Enterprise Scale

Inception described its Mercury powering of SearchBlox’s SearchAI for enterprise search workloads, positioning the partnership around sub-second GenAI responses across customer support, compliance, risk, analytics, and e-commerce.

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Nov 06, 2025 · Reporting · TechCrunchInception raises $50 million to build diffusion models for code and text

TechCrunch reported that Inception raised $50M in seed funding led by Menlo Ventures, with participation from Mayfield, Microsoft’s M12 fund, Snowflake Ventures, Databricks Investment, and NVentures, plus angel funding from Andrew Ng and Andrej Karpathy.

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Feb 26, 2025 · Official · InceptionIntroducing Mercury, the World’s First Commercial-Scale Diffusion Large Language Model

Inception introduced the Mercury family of diffusion large language models, with claims around speed/throughput and availability via API and enterprise/on-prem deployments, alongside details such as Mercury Coder.

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Date not disclosed · Official · InceptionThe Next Step for dLLMs: Scaling up Mercury

Inception posted that Mercury had been scaled with an across-the-board upgrade to capabilities (including coding, instruction following, reasoning, and knowledge recall), and referenced closing the $50M financing round in the same context.

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Source map · 6 recurring channels · 68 references
InceptionOfficial Site · monitor↗Inception on XOfficial X · monitor↗Aditya Grover on XPrincipal X · monitor↗Stefano Ermon on XPrincipal X · monitor↗Volodymyr Kuleshov on XPrincipal X · monitor↗MTS Frontier / Control RoomCurated Feed · monitor↗Official company sourceOfficial Reference · reference↗platform.inceptionlabs.aiOfficial Reference · reference↗sec.govRegulatory · reference↗23586544.fs1.hubspotusercontent-na1.netReporting · reference↗ai-deck.appReporting · reference↗aim.gov.inReporting · reference↗aiwiki.aiReporting · reference↗alignmentgrowth.comReporting · reference↗andrewtanjobs.substack.comReporting · reference↗app.dealroom.coReporting · reference↗aranca.comReporting · reference↗arxiv.orgReporting · reference↗assets.ivp.comReporting · reference↗axios.comReporting · reference↗bizprofile.netReporting · reference↗cbinsights.comReporting · reference↗crunchbase.comReporting · reference↗cs.cornell.eduReporting · reference↗d7umqicpi7263.cloudfront.netReporting · reference↗defillama.comReporting · reference↗dev.datascienceassn.orgReporting · reference↗dllm-reasoning.github.ioReporting · reference↗en.wikipedia.orgReporting · reference↗fastaijobs.comReporting · reference↗files-backend.assets.thrillshare.comReporting · reference↗forgeglobal.comReporting · reference↗fundraisingfox.comReporting · reference↗gaebler.comReporting · reference↗gh.linkedin.comReporting · reference↗gridinsoft.comReporting · reference↗hrshtv.github.ioReporting · reference↗ida.orgReporting · reference↗inceptionfund.vcReporting · reference↗inceptlabs.aiReporting · reference↗intro-act.comReporting · reference↗iosrjournals.orgReporting · reference↗key.comReporting · reference↗kuleshov.github.ioReporting · reference↗labscompanies.comReporting · reference↗law.berkeley.eduReporting · reference↗linkedin.comReporting · reference↗map.getclera.comReporting · reference↗menlovc.comReporting · reference↗ml.linkedin.comReporting · reference↗nebula.wsimg.comReporting · reference↗newsletter.radensa.ruReporting · reference↗nextomoro.comReporting · reference↗northside.venturesReporting · reference↗onlylabs.fyiReporting · reference↗openreview.netReporting · reference↗paragraph.comReporting · reference↗pr.aiReporting · reference↗provath.comReporting · reference↗reddit.comReporting · reference↗shnopay.comReporting · reference↗site.twstalker.comReporting · reference↗startuphub.aiReporting · reference↗startupintros.comReporting · reference↗static1.squarespace.comReporting · reference↗tamilventures.comReporting · reference↗tech.cornell.eduReporting · reference↗techcrunch.comReporting · reference↗valueaddvc.comReporting · reference↗vcnewsdaily.comReporting · reference↗venturecapitaltracker.comReporting · reference↗vinsachi.comReporting · reference↗w.twstalker.comReporting · reference↗znakschoola.ruReporting · reference↗

Still resolving: Newsroom

What it builds

Mercury (diffusion language model family)

Inception’s flagship family of diffusion large language models (dLLMs) intended for production use, marketed as generating/refining outputs in parallel rather than token-by-token decoding.

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Mercury Coder

A code-generation diffusion model available through Inception’s API and described as part of the Mercury family.

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Mercury 2

A “reasoning” diffusion language model positioned for latency-sensitive deployments; Inception states it supports features like tunable reasoning, tool use, and schema-aligned JSON output, and provides published speed/price benchmarks in its product launch post.

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Mercury 2.5

A newer iteration of Mercury presented as a production model with published improvements in quality and performance, including speed, price, and context figures in the launch announcement.

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Mercury Voice (preview)

A voice-agent-oriented diffusion model preview announced alongside Mercury 2.5, positioned for voice latency budgets and described with a published time-to-first-token claim.

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Mercury Router (preview)

A routing component described as understanding incoming prompts with a dLLM and routing to models based on quality/speed/cost tradeoffs; announced alongside Mercury 2.5.

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Inception Platform (API + chat)

Inception’s developer platform that exposes an OpenAI API-compatible chat completion endpoint and supports usage-based and enterprise access patterns.

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Key metrics

Milestones & partnerships