Greylock is a high-conviction, lead-oriented venture firm that specializes in backing software companies from Day One, often before code or revenue. The firm is especially focused on AI-first startups across enterprise software, infrastructure, security, consumer, marketplaces, and fintech, and prefers founders pursuing venture-scale outcomes with a credible path to distribution.
Evaluation weights
How much weight this firm places on each dimension. Totals 100%.
Revenue, growth, and unit economics
Size, timing, and competitive landscape
Founder experience and execution ability
Differentiation and technical quality
- Bias toward exceptional founders over polished early metrics
- Bias toward AI-first and software-led opportunities
- Bias toward companies with a strong distribution thesis, not product alone
- Bias toward contrarian category-defining opportunities with venture-scale upside
Pitch difficulty
How hard it is to get a meeting and close funding from this firm.
- Funded / yr
- 33Deals closed in a typical year.
- Led / yr
- 13Rounds led in the last 12 months.
- Pitches / yr
- ~3224Decks reviewed in a typical year.
- Acceptance rate
- 1.0%Share of pitches that get funded.
Estimated — public data is not fully disclosed.
Why it's hard
- Brand-name firm with heavy inbound competition for every round
- High preference for exceptional founders and category-defining ambition
- Strong bias toward leading rounds and taking meaningful ownership
- Disciplined filters around customer pain, GTM focus, and repeatable leading indicators
Greylock is one of the most sought-after early-stage firms, concentrates on a narrow set of venture-scale software opportunities, and often leads with high ownership expectations. Its willingness to invest pre-revenue is offset by an exceptionally high bar on founder quality, market size, and distribution clarity.
Green flags
What drives a yes for this firm.
- Exceptional founders with unique insight and ambition before traction is obvious
- A venture-scale market with potential for category leadership
- Clear understanding of customer pain and why the problem matters now
- Credible distribution or go-to-market advantage, not just a strong product vision
- Contrarian but well-reasoned thesis with evidence the company can become a large platform
Red flags
What kills deals and gets a fast no.
- Vague customer problem or weak articulation of why users urgently need the product
- Unfocused go-to-market strategy that tries to do everything at once
- Small-market or lifestyle-business ambition disguised as venture-scale
- No credible path to distribution, even if the product is technically impressive
- Capital-intensive hardware or biotech models outside Greylock's software-first mandate
How to win
Patterns that lead to successful pitches.
- Lead with the founder insight: why this team uniquely understands the problem and why now
- Frame the company as a venture-scale category winner, not a point solution
- Show a concrete distribution thesis with early evidence of repeatability
- Present a narrow, focused GTM plan with the key leading indicators Greylock can track
- Lean into AI, infrastructure, security, or software platform tailwinds when genuinely core to the business
Fund strategy & identity
Who they are and how they operate.
- Concentrates capital primarily in Pre-Seed, Seed, and Series A with large early-stage ownership targets
- Leads rounds with outsized initial checks rather than small option-value positions
- Invests mainly in software-led businesses and avoids capital-intensive hardware and biotech
- Uses deep operating support and programs like Edge to help companies scale from idea to IPO
- Occasionally participates in later rounds of breakout portfolio companies and conviction opportunities
Firm identity
Investment focus
Industries, themes, and typical ARR expectations.
Industries
Investment themes
Typical check by stage
Typical ARR by stage
Investment thesis
Core beliefs and strategy behind their investing approach.
Greylock explicitly focuses on AI‑first software across cybersecurity, infrastructure, SaaS (horizontal and vertical), consumer, marketplaces/commerce, and fintech/crypto. Their thesis centers on the belief that “every company will become an AI company” and that software will reshape industries, creating a new golden age for SaaS. The firm concentrates on Pre‑Seed, Seed, and Series A stages, with more than 80 % of investments being the first check, as reflected in Fund 17—a $1 B vehicle dedicated to these early stages. Geographically, Greylock is based in the Bay Area (Menlo Park and San Francisco) and primarily backs U.S.‑based founders, though its portfolio has global reach. The firm avoids capital‑intensive hardware and biotech, concentrating on software‑led opportunities. Its core value‑creation belief is deep partnership from idea to IPO, providing hands‑on company‑building (e.g., the Edge program) and large early‑stage capital to enable venture‑scale outcomes.
Decision patterns
How they evaluate and make investment decisions.
Greylock’s partnership philosophy starts “from Day One,” often at the concept stage. They invest before revenue or code, prioritizing the founder’s insight, ambition, and a venture‑scale opportunity. Partners consistently stress the primacy of team and distribution: former GP Sarah Guo says, “At the Series A, I’m betting on the early team more than anything else,” and Greylock “obsess[es] about distribution as much as product.” Reid Hoffman underscores contrarian conviction: “To achieve real success, you need to be contrarian and right.” On market and traction, Greylock expects clear evidence of a significant problem and a credible go‑to‑market path; internal advisors emphasize leading‑indicator frameworks (“When you try to do everything at once, you drive standards down”). A common filter is venture‑scale ambition; they state they are “appropriate only for founders with venture‑scale ambitions.” Deal‑breakers include unfocused GTM, vague customer problem, or insufficient leading indicators of repeatable sales motion.
Risk appetite
Greylock shows a high‑conviction, lead‑oriented posture. It regularly leads and anchors sizable seed and Series A rounds, writing outsized seed checks ($2 M–$20 M typical, with examples up to $45 M) and committing a $1 B early‑stage fund to stay a first‑check partner. The firm leans heavily into AI‑platform shifts (“every company will become an AI company”) and seeks venture‑scale outcomes rather than incremental wins. While aggressive in conviction and ownership, Greylock maintains disciplined standards through GTM leading‑indicator frameworks to de‑risk scaling. Overall, Greylock is an active lead investor with a strong appetite for early technical and category‑creating risk when paired with exceptional founders and a credible distribution plan.
Notable investments
Key portfolio companies and why they fit the thesis.
- CylakeLeadAI-native cybersecurity built for data sovereignty; Greylock led the $45M seed (March 2026).
- BasetenLeadProvides AI application infrastructure, matching Greylock's AI + infrastructure investment theme.
- InstabaseLeadIntelligent automation and data infrastructure for enterprises fits Greylock's enterprise software thesis.
- Abnormal AILeadAI-first cloud email security is a core area of Greylock's cybersecurity focus.
- 7AIAgentic AI for security operations; Greylock participated in the seed, and the $130M Series A was led by Index Ventures.
- WisetackLeadFintech platform for BNPL services expands Greylock's thesis on software reshaping commerce and services.
- Resolve AIAI agents for SRE/DevOps align with Greylock's AI + infrastructure interests, though the firm only participated.
Co-invested with
Other firms in this catalog who've backed the same companies.
Partners
Full firm roster — key partners, partners, and the wider team.
Key partners
Saam Motamedi
Partner
Greylock
Greylock partner focused on seed and early-stage enterprise software, AI, cybersecurity, and data infrastructure.
Jerry Chen
Partner
Greylock
Greylock partner focused on ambitious enterprise software founders.
Mike Duboe
Partner
Greylock
Greylock partner focused on growth-minded investments in commerce, marketplaces, and vertical software.
Reid Hoffman
Partner
Greylock
Greylock partner, entrepreneur, and investor known for LinkedIn, PayPal, Facebook, Airbnb, and network-driven businesses.
Asheem Chandna
Partner
Greylock
Greylock partner focused on enterprise, cybersecurity, infrastructure software, and AI-enabled security operations.
Partners
Don Sullivan
Administrative
Greylock
Greylock administrative leader overseeing operations, finance and administration.
Simon Rothman
Partner
Greylock
Greylock marketplace investor and former founder of eBay Motors.
David Strohm
Venture Partner
Greylock
Greylock venture partner known for DoubleClick, OpenDNS, SuccessFactors and other enterprise investments.
Mor Chen
Partner
Greylock
Greylock partner backing Israeli cybersecurity and enterprise AI founders.
Sophia Luo
Partner
Greylock
Greylock Partner investing in AI-native applications and infrastructure.
Neiman Mathew
Partner
Greylock
Greylock partner working with pre-idea and early technical founders.
Lee Haney
Partner, Customer Development
Greylock
Greylock customer development partner connecting founders with enterprise technology leaders.
Bill Helman
Advisory Partner
Greylock
Greylock advisory partner and former managing partner with technology and health care investing experience.
Shreya Shekhar
Partner
Greylock
Greylock partner backing AI, cybersecurity, infrastructure and devtools founders.
Jason Risch
Partner
Greylock
Greylock partner investing in cybersecurity, AI and next-generation software.
Allie Dalglish
Business Operations
Greylock
Greylock business operations leader managing firm initiatives and strategic projects.
Seth Rosenberg
Partner
Greylock
Greylock partner investing in fintech, AI and crypto infrastructure.
Public voice
Notable statements and public positions.
- We expect that every company will become an AI company.
- Our typical day one checks range from $2M to $20M.
- In order to achieve real success, you need to be contrarian and right.
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