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Mayfield Fund

Mayfield Fund

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Mayfield Fund is a long-standing, people-first venture firm that backs founders from inception through early scale, with the strongest focus on Pre-Seed, Seed, Series A, and selective Series B. The firm is known for hands-on board partnership, disciplined pacing, and high-conviction investing in AI, enterprise infrastructure, deep tech, cybersecurity, semiconductors, and technology-driven health.

Evaluation weights

How much weight this firm places on each dimension. Totals 100%.

Team-led · 41%
Metrics
9%

Revenue, growth, and unit economics

Market
26%

Size, timing, and competitive landscape

Team
41%

Founder experience and execution ability

Product
24%

Differentiation and technical quality

  • Founder-first over spreadsheet-first at early stage
  • Strong preference for sectors where Mayfield already has thematic conviction
  • Skeptical of hype cycles and sprint-style deployment
  • Prefers companies that can support a close, long-term board relationship

Pitch difficulty

How hard it is to get a meeting and close funding from this firm.

Funded / yr
32

Deals closed in a typical year.

Led / yr
12

Rounds led in the last 12 months.

Pitches / yr
~2964

Decks reviewed in a typical year.

Acceptance rate
1.1%

Share of pitches that get funded.

Estimated — public data is not fully disclosed.

Why it's hard
  • People-first bar is unusually high and founder fit matters heavily
  • The firm invests only in areas where it has strong internal conviction and expertise
  • Consensus-driven internal process raises the quality threshold
  • Measured pacing and limited new-company volume reduce room for marginal deals

Mayfield is highly respected and conviction-driven, with a strong brand, focused sector map, and a consensus process that filters for founder fit and thematic alignment. It takes meaningful differentiation to win a yes, but the firm is still accessible to very early-stage companies, including inception-stage startups, if the team and theme strongly fit.

Green flags

What drives a yes for this firm.

  • Authentic founders with mission, ambition, and an identifiable X-factor
  • A founder-company fit that supports a long-term, hands-on board relationship
  • Clear thematic alignment with Mayfield's stated sectors and areas of expertise
  • Early evidence of durable product engagement, retention, or network effects
  • A conviction case that stands on substance rather than market hype

Red flags

What kills deals and gets a fast no.

  • AI or other trend-driven pitches that feel opportunistic or hype-led
  • Weak retention, shallow engagement, or fragile usage quality
  • Businesses far outside Mayfield's defined areas of expertise
  • Founders who do not want or fit hands-on board involvement
  • A case built on speed, momentum, or market heat without a real conviction thesis

How to win

Patterns that lead to successful pitches.

  • Lead with founder-market fit, mission, and why this team is uniquely suited to win
  • Frame the company inside one of Mayfield's active themes such as AI, developer infra, cyber, chips, or health tech
  • Show durable engagement signals early, especially retention, workflow embedment, or network effects
  • Demonstrate substance and technical differentiation rather than a trend-chasing narrative
  • Position the relationship as a true long-term board partnership, not just a financing event

Fund strategy & identity

Who they are and how they operate.

  • Leads or co-leads Pre-Seed, Seed, and Series A rounds, with follow-on capacity into Series B
  • Uses dedicated vehicles across inception AI, core early-stage, and selective Series B investing
  • Prefers concentrated, measured deployment rather than high-volume investing
  • Builds conviction through thematic sourcing and internal partner-led diligence
  • Stays within sectors where the team has clear domain expertise
Firm identity
People-first, founder-led partnership modelInception-to-iconic early-stage specialistHands-on, roll-up-our-sleeves board member mentalityThematic but disciplined rather than hype-drivenConsensus-oriented investment culture

Investment focus

Industries, themes, and typical ARR expectations.

Industries
AI/MLEnterprise SoftwareDeveloper ToolsCloud InfrastructureCybersecuritySemiconductorsDigital HealthBiotech & Life SciencesMarketplacesConsumer Internet
Investment themes
Generative AI, AI infrastructure, and AI + X application layersCognition-as-a-service and AI teammates for enterprise workflowsData economy and developer-first infrastructureCybersecurity and deep technical enterprise systemsSemiconductor renaissance and chip designHuman health, engineering biology, and tech-enabled healthcarePlanetary health and other deep-tech systems with enduring technical moats
Typical check by stage
Pre Seed$1M-$2M
Seed$1M-$4M
Series A$5M-$15M
Series B$10M-$30M
Series C$5M-$20M
Growth$5M-$30M
Typical ARR by stage
Pre Seed$0
Seed$0-$1M
Series A$1M-$5M
Series B$5M-$20M

Investment thesis

Core beliefs and strategy behind their investing approach.

Mayfield’s core belief is a people‑first, "inception to iconic" approach – they back founders they can serve as roll‑up‑our‑sleeves board members. Their investment focus is early‑stage (Seed, Series A and B) with a particular emphasis on AI (including AI + X and cognition‑as‑a‑service), the data economy, developer‑first infrastructure, the renaissance of semiconductors, cybersecurity/deep‑tech, and human/planetary health. Geographically they are U.S.‑centric but have historically run separate vehicles for India and China. They avoid chasing fads or investing in areas outside their domain expertise, preferring disciplined pacing (new investments every 3.5‑4 years) and a collaborative, consensus‑driven decision process. Recent activity includes a dedicated $250 M AI Start seed fund that writes $1‑4 M checks at the inception stage, complementing their flagship $580 M Seed/Series A fund and $375 M Select III Series B vehicle.

Decision patterns

How they evaluate and make investment decisions.

Mayfield sources deals through thematic outreach and internal networks, then two partners build a conviction dossier and present it to the full investment team for a consensus decision. They prioritize "people first" – authentic founders with a strong mission and X‑factor – and evaluate teams before market size or traction. For SaaS, retention and gross‑margin discipline are the top metrics; for marketplaces and consumer products they look for durable usage and network effects. Deal‑breakers include chasing hype without conviction, weak user engagement/retention, and founders who are not a good fit for Mayfield’s hands‑on board involvement. Their model emphasizes a measured cadence, avoiding the sprint‑style investing seen in 2021.

Risk appetite

Mayfield is conviction‑driven and willing to invest at the very inception of a company, reflecting an aggressive stance on early‑stage risk while maintaining a disciplined deployment schedule (≈10‑14 new companies per fund cycle). They often lead Seed and Series A rounds, especially through the AI Start vehicle, but are also comfortable co‑investing and taking minority positions when partnering with angels or other VCs. Their approach balances aggressive early‑stage backing with measured pacing across fund cycles.

Notable investments

Key portfolio companies and why they fit the thesis.

  • HashiCorpLead
    Backed at inception to build a multi‑cloud platform, matching Mayfield’s focus on enterprise infrastructure and early‑stage, founder‑first bets.
  • PoshmarkLead
    Early investment in a mobile‑native community marketplace aligns with Mayfield’s consumer marketplace experience and people‑first approach.
  • TeamBridgeLead
    Enterprise workforce operating system fits Mayfield’s AI‑enabled enterprise applications and category creation focus.
  • NumeralLead
    Fintech infrastructure for payments aligns with Mayfield’s enterprise and infrastructure thesis.
  • LexCheckLead
    AI‑driven contract‑review software matches Mayfield’s AI‑first, enterprise software investment strategy.
  • GruveLead
    AI‑assisted enterprise services embody Mayfield’s cognition‑as‑a‑service vision.
  • ProRata.aiLead
    GenAI attribution infrastructure fits Mayfield’s inception‑stage, AI‑focused thesis.
  • ProjectorLead
    Consumer productivity and visual‑communication platform represents early‑stage category creation with strong product DNA.
  • Zimride/Lyft
    Early participation in a consumer marketplace demonstrates Mayfield’s historical interest, but leadership was not claimed.

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
Navin Chaddha

Navin Chaddha

Managing Partner

Mayfield Fund

Navin Chaddha is Managing Partner at Mayfield, where he leads the firm and invests across AI, enterprise, and semiconductors.

AIEnterpriseSemiconductors
Ursheet Parikh

Ursheet Parikh

Partner

Mayfield Fund

Ursheet Parikh is a Partner at Mayfield investing in AI, enterprise infrastructure, and human and planetary health.

AIEnterprise InfrastructureHuman & Planetary Health
Patrick Salyer

Patrick Salyer

Partner

Mayfield Fund

Patrick Salyer is a Partner at Mayfield investing in AI and enterprise software.

AIEnterprise Software
Rajeev Batra

Rajeev Batra

Partner

Mayfield Fund

Rajeev Batra is a Partner at Mayfield focused on enterprise companies. His investments include Outreach, Marketo, SeekOut, SmartRecruiters, ServiceMax, Alignable, Crunchbase, Cube, TrustRadius, and WideOrbit.

Enterprise
Vijay Reddy

Vijay Reddy

Partner (AI Start)

Mayfield Fund

Vijay Reddy is Mayfield's dedicated partner for the $250 million AI Start fund, supporting founders at Day Zero. He brings more than a decade of inception and early-stage investing experience across AI and enterprise infrastructure.

AI
Partners
Tejas Maniar

Tejas Maniar

Partner

Mayfield Fund

Mayfield partner focused on enterprise investing and firm strategy.

EnterpriseEnterprise softwarePeople operationsStrategyTalent
Shivani Gupta

Shivani Gupta

Director, Strategy and Programs

Mayfield Fund

Mayfield strategy and programs director focused on GenAI initiatives.

ContentGenAIPortfolio growthProgramsStrategy
Team
Irving Hsu

Irving Hsu

Principal

Mayfield Fund

Mayfield principal investing in enterprise AI and infrastructure.

AIDeveloper toolsEnterprise softwareInfrastructureUniversity partnerships
Matt Carbonara

Matt Carbonara

Investor

Mayfield Fund

Mayfield AI and enterprise investor, formerly of Citi Ventures and Cisco.

AICloud infrastructureCybersecurityDeveloper toolsEnterprise

Public voice

Notable statements and public positions.

  • “We believe that AI will emerge as our teammate and that the Gen.AI wave will create many iconic companies.” — Navin Chaddha, AI Start announcement (2023).
  • “We stuck to our conviction of staying as an early‑stage venture investor… We raised a similar size fund every four years and invested in thirty companies per fund. We primarily led Series A investments.” — Navin Chaddha, TechCrunch fund announcement (2020).
  • “Last year, for every dollar we took in, we sent $4 back … It took a lot of courage and a lot of holding our feet on the ground.” — Navin Chaddha, PitchBook interview on fundraising discipline.

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