Chip Hazard
Co-founder & General Partner
Flybridge
Chip Hazard is a Co-founder and General Partner at Flybridge whose stated interests include AI infrastructure, developer platforms, and agentic business applications.
Flybridge is an AI-only early-stage venture firm that primarily backs founders at pre-seed and seed, with a strong concentration in NYC and Boston. The firm is explicitly founder-driven, prefers to be first to believe, and combines high-conviction early bets with selective follow-on capital for breakout companies after Series A.
Evaluation weights
How much weight this firm places on each dimension. Totals 100%.
Team-led · 42%
Metrics
7%
Revenue, growth, and unit economics
Market
27%
Size, timing, and competitive landscape
Team
42%
Founder experience and execution ability
Product
24%
Differentiation and technical quality
- Strong bias toward founders over spreadsheets at pre-seed and seed
- Strong preference for AI-native companies over legacy software retrofits
- Bias toward leading or co-leading rather than being a passive participant
- Favors companies with real defensibility in data, workflow, or trust rather than model access alone
Pitch difficulty
How hard it is to get a meeting and close funding from this firm.
Funded / yr
51
Deals closed in a typical year.
Led / yr
5
Rounds led in the last 12 months.
Pitches / yr
~468
Decks reviewed in a typical year.
Acceptance rate
10.9%
Share of pitches that get funded.
Estimated — public data is not fully disclosed.
Why it's hard
- AI-only thesis excludes non-AI and weakly AI-enabled startups
- Very strong emphasis on founder quality and founder-problem fit
- Preference for clear data moats, trust-centric product design, and GTM beyond pilots
- Concentrated seed leadership model limits the number of core bets
Flybridge is accessible relative to larger multistage firms because it invests aggressively at pre-seed and seed and actively seeks to be first to believe. But it is still selective because its mandate is now AI-only, it concentrates conviction into a limited number of seed leads, and it has a sharply defined view of what makes an AI-native company defensible.
Green flags
What drives a yes for this firm.
- A founder with singular obsession, high agency, and unconventional thinking
- Clear founder-problem fit around an important AI-native problem
- A large multi-act market with room for platform expansion
- Technical and product differentiation combined with a credible GTM wedge
- Evidence of durable defensibility through proprietary data, workflow embedding, or earned secrets
Red flags
What kills deals and gets a fast no.
- Non-AI-native companies or superficial AI repositioning
- Products that are essentially demo ware or thin wrappers on external models
- No durable defensibility beyond access to the current model layer
- Pilot-heavy GTM with no path to scaled buying behavior
- Founders lacking authentic problem obsession, sharp insight, or clear founder-problem fit
How to win
Patterns that lead to successful pitches.
- Show why the founder is uniquely obsessed with and qualified to solve this problem
- Frame the company as AI-native with a concrete wedge, not as software with AI added on
- Demonstrate how the product earns trust and becomes embedded in real workflows
- Explain the durable moat through proprietary data, earned secrets, or workflow lock-in
- Present a credible plan to escape pilot purgatory and reach repeatable deployment
Fund strategy & identity
Who they are and how they operate.
- Invest early through Next Wave pre-seed investing and convert into seed leads/co-leads
- Lead or co-lead concentrated seed rounds with initial checks typically between $1M and $3M
- Focus exclusively on AI-native companies rather than broad software categories
- Reserve capacity for opportunistic $10M+ follow-ons after Series A
- Leverage deep history in developer platforms and data infrastructure to assess modern AI companies
Firm identity
AI-only venture firmFounder-first at the earliest stageSeed lead/co-lead specialistNYC and Boston ecosystem-focusedHigh-conviction, first-to-believe investor
Investment focus
Industries, themes, and typical ARR expectations.
Industries
AI/MLDeveloper ToolsData InfrastructureEnterprise SoftwareFuture of WorkCybersecurityConsumer Software
Investment themes
AI infrastructure and developer platformsAgentic business applicationsNative AI products for work, creativity, and relationshipsHuman-AI interfaces that earn user trustProprietary data moats and earned secretsGo-to-market models that move beyond pilots into real deploymentEast Coast AI ecosystems connecting research talent with enterprise buyers
Typical check by stage
Pre Seedup to $250k
Seed$1M-$3M
Typical ARR by stage
Pre Seedpre-revenue-$250K
Seed$0-$1M
Growth$5M+
Investment thesis
Core beliefs and strategy behind their investing approach.
Decision patterns
How they evaluate and make investment decisions.
Notable investments
Key portfolio companies and why they fit the thesis.
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
Jeff Bussgang
Co-founder & General Partner
Flybridge
Jeff Bussgang is a Co-founder and General Partner at Flybridge, Harvard Business School faculty member, entrepreneur, and author focused on AI, vertical SaaS, and fintech startups.
Jesse Middleton
General Partner
Flybridge
Jesse Middleton is a General Partner at Flybridge focused on the future of work, native AI applications, and serial entrepreneurs.
Public voice
Notable statements and public positions.
Similar firms
Firms with overlapping stage and industry focus.
Bloomberg Beta
1.1% Team-led ·6 stages
Bloomberg Beta is an early-stage venture firm focused on the future of work: startups that improve how knowledge work gets done. The firm is especially active at pre-seed and seed, often as first money in, and combines high-conviction individual partner decisions with a clear thematic and values-based filter around trustworthy, inclusive founders building in North America.
Accel
0.5% Team-led ·6 stages
Accel is a global, software-centric venture firm known for initiating investments in category-defining technology companies and supporting them from inception through scale. The firm combines a strong early-stage franchise with a concentrated late-stage Leaders strategy, backing exceptional founders in large markets with high conviction and a willingness to lead across geographies and stages.
Bessemer Venture Partners
0.2% Market-led ·6 stages
Bessemer Venture Partners is a global, multi-stage venture firm that backs founders from pre-seed through growth with a strong bias toward enduring, public-scale technology companies. The firm is especially identified with cloud/SaaS, developer platforms, vertical software, and AI application-layer investing, using deep sector roadmaps and ARR-centric operating benchmarks to underwrite category leaders.
Two Sigma Ventures
0.3% Market-led ·5 stages
Two Sigma Ventures backs early-stage companies built at the intersection of exploding information, increasing computing power, and exceptional founders. The firm is thesis-driven around data science, machine learning, and advanced engineering, and is especially active as a lead investor at Series A while using the broader Two Sigma platform to help companies accelerate technical and commercial learning.