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🀫 Γ— Greylock Β· a category-creation study

Category creation, in the open.

We did the homework ahead of the conversation. This is our open, cited read of Greylock's category-creation record, and how the four categories we are creating, all built on consent and ownership, connect the dots from your point of view. Public information only, and an honest invitation.

The four categoriesTalk to us

Public information and independent analysis, never a claimed deal, endorsement, or introduction.

Why we study Greylock

You make categories real.

Greylock's demonstrated edge is backing category-defining companies in enterprise, security, infrastructure, and now AI, writing the first check and building alongside founders from day one. That is precisely the muscle it takes to establish something genuinely new.

We are not building one product. We are creating four categories, all on consent and ownership, on open rails. This page lays out Greylock's public record, maps our categories onto it, and shows where a day-one partner adds the most leverage, so the dots are easy to connect from your side of the table.

The firm, in public facts

Cited, not claimed.

Founded in 1965 (in Cambridge, Massachusetts); among the oldest venture firms, now based in Menlo Park and San Francisco.

Greylock β€” About β†—

Greylock 17 is a $1B fund (announced Oct 3, 2023), for Pre-Seed, Seed, and Series A founders in enterprise and consumer software, positioned around AI-first companies.

Announcing Greylock 17 β†—

Greylock positions itself as a day-one, first-partner investor; as it noted with Greylock 17, over 80% of its investments were Pre-Seed, Seed, or Series A.

Announcing Greylock 17 β†—

Greylock Edge is a hands-on program that helps founders go from pre-idea to product-market fit, with financing, early design partners, and recruiting.

Greylock Edge β†—
The record you built

Decades of category wins.

Enterprise & networks

LinkedIn, Workday, Cloudera, Palo Alto Networks

Category-defining companies in professional networks, HR software, data platforms, and next-generation security.

Security & infrastructure

Palo Alto Networks, Sumo Logic, Rubrik, Abnormal Security

A deep, decades-long record in the security and infrastructure categories that own-your-data and own-your-compute now extend.

AI-first

Anthropic and a fund built around AI-first companies

A stated AI-first thesis, backing frontier and applied AI from the first check.

Named from Greylock's public portfolio. See greylock.com/portfolio for the authoritative list.

The four categories

What we are creating, mapped to your muscle.

01The private agent

🀫 Private Agent One

A personal AI you own, that answers only to you, gated by consent with a receipt for every access. Free for everyone on day 0.

Why it rhymes with Greylock: Security and trust is Greylock's deepest category, and their thesis is now AI-first. A consent-first, owned personal agent is exactly that intersection: trust as architecture, on top of AI.

02Privately owned personal supercomputing

🀫 Puppy One

A personal supercomputer you own outright, that runs your own agent and your own workloads at top priority, in your home.

Why it rhymes with Greylock: Owning your compute reframes the infrastructure category Greylock has backed for decades, from silicon to data platforms. Pattern recognition for owned-infra is their home turf.

03The AI Factory

🀫 Grid One (garage & small warehouse) + 🀫 Factory One (larger warehouse)

A distributed, owned edge-supercomputing grid: put 🀫 Puppy One machines in any American garage or warehouse with cheap power, good cooling, and a connection to the grid, over Starlink or core fiber, and earn by renting idle capacity back to the neighborhood, by consent, with a receipt for every job.

Why it rhymes with Greylock: This is infrastructure plus a marketplace with real network effects, owned by the people who host it. Category creation at the intersection of infra and marketplaces is squarely Greylock's wheelhouse.

04Privately owned tags

🀫 Tag One

A wearable for the people you love, so they can stay in touch and share their location simply by talking to their own 🀫 Agent One, connected to their personal Tag. Consent and ownership on the device, tenderness, not tracking.

Why it rhymes with Greylock: Positioned as the consent-and-ownership software layer on the device, not a pure hardware play, so it sits inside Greylock's software and trust DNA rather than outside it.

Connect the dots

From your point of view.

You create categories; we are creating four

Private agents, privately owned supercomputing, the AI Factory, and privately owned tags, all built on consent and ownership on open rails. Category creation in enterprise, security, infrastructure, and AI is the muscle Greylock has demonstrated for decades.

The wedge is a consumer one, the moat is infrastructure

🀫 Private Agent One is free for everyone on day 0, the consumer wedge. Underneath it is an owned-compute grid (🀫 Grid One and 🀫 Factory One) with marketplace network effects, the infrastructure category that compounds.

Consent-first is a security category, not a feature

Owning and permissioning your own data and compute is a trust-and-security category in the lineage of the security companies Greylock helped build, now extended to the individual and to the edge.

Where a day-one partner adds the most leverage

Sequencing the consumer wedge, the developer ecosystem on open rails, and the owned-compute grid without splitting focus, exactly the zero-to-category work a first-check partner is built for.

The plan, in the open

What a day-one partner would help us do.

Sequence the three moves without splitting focus: the consumer wedge (🀫 Private Agent One, free for everyone on day 0), the developer ecosystem on open rails (the Personal Consent Handshake Protocol, composable over MCP, A2A, AP2, and UCP), and the owned-compute grid (🀫 Grid One in the garage, 🀫 Factory One in the warehouse), placed where power is cheap, cooling is abundant, and the grid, over Starlink or core fiber, is close.

That is the zero-to-category journey a first-check partner is built for. If it is interesting from your side, the door is open, honestly and on public terms.

Build with us β†’See the AI Factory
Sources & the fine print

Public facts, cited.

  • Greylock β€” About β†—
  • Greylock β€” Portfolio β†—
  • Announcing Greylock 17 ($1B, Oct 3 2023) β†—
  • Greylock Edge β€” the company-building program β†—
  • Asheem Chandna β€” Greylock profile β†—
  • Greylock β€” Team β†—
  • TechCrunch β€” Greylock's $1B fund (Oct 3 2023) β†—

An open, cited study and an honest invitation, from public information only, and independent analysis by the 🀫 team. It names Greylock and its partners solely from their public profiles and reputable press, and implies no affiliation, endorsement, sponsorship, introduction, or claimed deal. It is not an offer to sell securities; 🀫 Fund A LP units are securities and any institutional raise is handled privately with qualified investors. Anyone named from public sources may ask to be updated or removed.

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