Emergence Capital is a concentrated, thesis-driven venture firm focused exclusively on B2B software companies shaping how work gets done. The firm specializes in leading early institutional rounds in enterprise SaaS and AI-native businesses, then partnering deeply from first check through IPO with hands-on support in hiring, go-to-market, and category building.
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
- Thesis-first rather than volume-driven
- Prefers category creators over incremental tools
- Willing to invest early if insight and workflow defensibility are strong
- Biased toward lead deals with meaningful ownership and board involvement
Pitch difficulty
How hard it is to get a meeting and close funding from this firm.
- Funded / yr
- 20Deals closed in a typical year.
- Led / yr
- 10Rounds led in the last 12 months.
- Pitches / yr
- ~4732Decks reviewed in a typical year.
- Acceptance rate
- 0.4%Share of pitches that get funded.
Estimated — public data is not fully disclosed.
Why it's hard
- Roughly five to seven new investments firm-wide per year
- Strict focus on B2B software and AI-native enterprise companies
- Preference for leading rounds and securing meaningful ownership
- Deep partnership diligence with extensive references and full-partner involvement
Emergence is one of the more selective enterprise-focused firms because it invests in only a handful of new companies each year, stays tightly constrained to B2B software, and requires strong thesis fit, founder alignment, and category-level potential.
Green flags
What drives a yes for this firm.
- Tight fit with Emergence's B2B enterprise and AI-at-work thesis
- Potential to become a category-defining platform with durable defensibility
- Founders who are highly referenceable, values-aligned, and strong long-term partners
- Evidence of outcome ownership, workflow depth, and reinforcing data loops
- A path to strong B2B fundamentals such as retention, CAC efficiency, and scalable GTM
Red flags
What kills deals and gets a fast no.
- Consumer, prosumer, hardware, biotech, or other non-B2B categories
- AI products that are just thin tools or wrappers without durable advantage
- Weak retention, shallow workflow embed, or no path to enterprise-grade economics
- Founders who fail reference checks or seem misaligned with a long-term board partnership
- Markets too small or crowded to support a category-defining outcome
How to win
Patterns that lead to successful pitches.
- Pitch a company squarely inside enterprise B2B with a clear future-of-work or AI-at-work angle
- Show why the product owns a workflow or outcome, not just a feature layer
- Demonstrate compounding defensibility through data loops, retention, or expansion behavior
- Frame the company as a category-defining opportunity with a credible path to scale
- Come prepared for deep diligence on founder quality, culture, and enterprise GTM readiness
Fund strategy & identity
Who they are and how they operate.
- Invest behind a narrow thesis in enterprise SaaS and AI-native B2B
- Concentrate new investments to roughly one per partner per year
- Lead rounds and take board seats with healthy ownership targets
- Use full-partnership diligence and strategy support on each deal
- Stay engaged across company-building, GTM scaling, and follow-on financing
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.
Emergence is a low‑volume, high‑touch venture firm built exclusively for B2B founders “shaping the way the world works.” The core thesis is to back category‑defining enterprise software at the earliest institutional stages and bend the odds from “emerging to iconic” through concentrated partnership: each Partner makes roughly one new investment per year, the full partnership engages on diligence and strategy, and the firm stays engaged from first round to IPO. Sector focus is narrow but deep: early‑stage enterprise SaaS and the next wave of AI‑native B2B companies. Two durable lenses guide their AI era: Coaching Networks (software that continuously learns from the best human operators and coaches the rest) and AI‑Native Services (owning the outcome by collapsing software + services with AI doing the work). They emphasize vertical/industry clouds, workflow systems with data network effects, and AI applications that drive measurable efficiency and retention. Geography: HQ in San Francisco; they invest primarily in U.S. B2B companies, with no formal geographic restriction publicly stated. What they avoid: consumer and non‑B2B categories; the firm is “laser‑focused on B2B software,” not broad consumer, capital‑intensive hardware, or biotech tools outside the software layer. Core belief about value creation: durable B2B category leaders are built by pairing deep thesis work with hands‑on company building — hiring, enterprise go‑to‑market, and customer access — rather than spreading capital widely. In the AI platform shift, they are leaning in: they view AI as a generational opportunity in work, with AI‑native businesses often scaling revenue faster and achieving better retention. Their goal is to help founders transition from SaaS to AI‑powered models while preserving B2B fundamentals (NDR, CAC payback, burn multiple) that correlate with long‑term outcomes.
Decision patterns
How they evaluate and make investment decisions.
Emergence’s investment decisions start with strict thesis alignment: they look for companies that augment human workers (Coaching Networks) or own AI‑driven outcomes (AI‑Native Services). Founder quality and cultural fit come next; partners stress deep reference checks and value alignment. Market size and defensibility are weighted heavily—outcome‑ownership, data loops, and the potential to become category leaders matter more than absolute ARR at early stages. Traction thresholds are flexible; for AI‑native Series A deals, they accept $0‑$3‑4 M ARR in the first monetization year if the product shows strong loop dynamics. The firm’s process is collaborative, with all partners contributing to diligence, and they aim to lead rounds to secure meaningful ownership and board seats. Deal‑breakers include lack of B2B focus, weak moats, pure tool‑like AI without compounding advantage, or cultural misfit.
Risk appetite
Emergence Capital runs a concentrated, high‑conviction portfolio. The firm deliberately caps its activity to roughly one new investment per partner each year, translating to about five‑to‑seven deals firm‑wide. This low‑volume approach lets them take lead positions, secure meaningful ownership, and act as long‑term board partners. Their thesis‑driven focus on early‑stage enterprise SaaS—and now AI‑augmented work—means they are willing to back pre‑product or pre‑PMF companies when the thesis gives them an informational edge, accepting higher early risk in exchange for outsized upside. At the same time, they apply disciplined diligence, extensive reference checks, and a values‑aligned partnership model, limiting reckless betting. Overall their appetite is aggressive in conviction and lead orientation but selective and long‑term focused.
Notable investments
Key portfolio companies and why they fit the thesis.
- DoximityLeadVertical healthcare network with strong network effects; fits Emergence's focus on industry-specific platforms that modernize critical professional workflows.
- Veeva SystemsLeadArchetypal vertical SaaS for life-sciences, aligning with Emergence's emphasis on industry cloud systems of record; Emergence led the Series A.
- Hanover ParkLeadAI-native fund-administration service addressing a massive, mission-critical workflow; Emergence led the Series A.
- HarperLeadAI-driven insurance brokerage tackling a large commercial insurance distribution market, matching the firm's AI-native vertical thesis.
- RowspaceLeadAI/knowledge platform for institutional finance decision-making; Emergence co-led the Series A with Sequoia.
- Bedrock RoboticsAutonomous construction technology ("Waymo for the built world") aligns with the firm's interest in enterprise-scale industrial transformation.
- ZoomLeadCategory-defining enterprise communications platform; Emergence led Zoom's Series C, consistent with the firm's historical backing of foundational B2B software.
- SalesforceLeadFoundational cloud CRM that pioneered enterprise SaaS; Emergence led an early venture round (Jan 2003), cementing its reputation in B2B software.
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
Gordon Ritter
Founder + General Partner
Emergence Capital
Gordon Ritter is Founder and General Partner at Emergence Capital, known for enterprise software investing and early backing of Salesforce and Veeva.
Jake Saper
General Partner
Emergence Capital
Jake Saper is a General Partner at Emergence Capital investing at the frontier of enterprise AI. His stated themes include AI-native services, agentic software, and physical-world AI.
Joe Floyd
General Partner
Emergence Capital
Joe Floyd is a General Partner at Emergence Capital who backs enterprise founders and has led investments in companies including SalesLoft, project44, Genspark, and Together.ai. His profile highlights long-running work in AI infrastructure and founder support.
Kevin Spain
General Partner
Emergence Capital
Kevin Spain is a General Partner at Emergence Capital with a track record that includes Doximity, Blend, and Augmedix. His background combines venture investing, entrepreneurship, and corporate development experience at Microsoft.
Santi Subotovsky
General Partner
Emergence Capital
Santi Subotovsky is a General Partner at Emergence Capital whose investments include Zoom, Chorus, and Openpath. His profile emphasizes founder relationships, communications software, and helping companies scale globally.
Lotti Siniscalco
General Partner
Emergence Capital
Lotti Siniscalco is a General Partner at Emergence Capital with deep fintech expertise. Her official profile names investments including Oyster, Federato, Method, Strala, Casap, and Harper.
Partners
Team
Kabir Sial
Investor
Emergence Capital
Emergence Investor and former Palantir engineer focused on complex B2B software problems.
George Kunthara
Investor
Emergence Capital
Emergence Investor and former early Retool GTM operator focused on category-defining B2B products.
Kyle Murphy
Principal
Emergence Capital
Emergence Principal and former Plaid GTM strategist focused on new products and B2B software.
Rishub Nahar
Investor
Emergence Capital
Emergence Investor and former Hightouch PM focused on customer-obsessed B2B software teams.
David Dworsky
Principal
Emergence Capital
Emergence Principal and former early Retool operator focused on customer-obsessed B2B software founders.
Public voice
Notable statements and public positions.
- "It’s a generational opportunity for AI investing, period." — Joe Floyd, General Partner (Fortune, 2025‑03‑25)
- "Artificial Intelligence isn’t going to steal your job. It’s going to save it." — Gordon Ritter, Founding GP (Coaching Networks thesis)
- "We make one investment per partner per year… we strive for healthy ownership percentages… Ultimately, this is a services business." — Jake Saper, GP (Acquired.fm interview)
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