Cloudflare, Inc. · NYSE:NET

Cloudflare — Investor Day (June 2026)

193 slides from Cloudflare's investor day presentation, Jun 9, 2026

  1. Slide 1: Investor Day

    Investor Day June 9, 2026 | New York Stock Exchange

  2. Slide 2: Safe Harbor and Other Information

    Safe Harbor and Other Information This presentation has been prepared by Cloudflare, Inc. (“Cloudflareˮ) for informational purposes only and not for any other purpose. Nothing contained in this presentation is, or should be construed as, a recommendation, promise, or representation by the presenter

  3. Slide 3: Phil Winslow

    Phil Winslow Vice President of Strategic Finance, Treasury, Deal Desk, & Investor Relations

  4. Slide 4: Agenda and speakers

    Phil Winslow 100 pm - 105 pm Opening Remarks Vice President of Strategic Finance, Treasury, Deal Desk, & Investor Relations Matthew Prince 105 pm - 130 pm Vision Co-founder & Chief Executive Officer Rita Kozlov 130 pm - 150 pm AI Vice President of Product Sam Rhea 150 pm - 205 pm AICloudfla

  5. Slide 5: Matthew Prince

    Matthew Prince Co-founder & Chief Executive Officer

  6. Slide 6: iia ae a

    iia ae a =—scINN P a ns) CLOUDFLARE -—

  7. Slide 7: Rita Kozlov

    Rita Kozlov Vice President of Product for Cloudflare Developer Platform

  8. Slide 8: Cloudflare's vision for developers

    Cloudflareʼs vision for developers To help build a better Internet with a modern cloud platform that accelerates developer velocity and drives better end user experiences. Remove friction Provide the best Deliver enterprise Enable and improve modern primitives grade solutions new AI developer veloci

  9. Slide 9: Bold, non-consensus decision: isolates

    A bold, non-consensus decision we made when building the foundation of our developer platform: isolates 0ms Cold starts (no container runtime) for auto-scaling 10x Higher price-performance vs. other cloud platforms Generation One Generation Two Generation Three Generation Four One box; No metal box

  10. Slide 10: The greenfield developer platform opportunity is bigger than ever

    The “greenfieldˮ developer platform opportunity is bigger than ever Cheaper Code Explosive Volume Generative AI has driven the cost of writing code More applications are being built today than at any to near zero. What once took weeks now takes point in history. The greenfield market is hours. expan

  11. Slide 11: Last year…

    ® crouvrtare Last year...

  12. Slide 12: Last year… next phase of AI: automation

    Last year… We believed the next phase of AI was going to focus on automation, or enabling autonomous agents to own end-to-end tasks. 12

  13. Slide 13: OpenClaw fastest-growing repository in GitHub history

    OpenClaw is the fastest-growing repository in Github history Cumulative Github Stars What React achieved in 13 years, OpenClaw surpassed in 3 months. 13 Source: Cumulative GitHub stars. OpenClaw from the GitHub GraphQL API (full stargazer history); React and Linux from GH Archive star events, inde

  14. Slide 14: Last year… more code in five years than all of history

    Last year… We said more code was going to be written in the next five years than in all of history. 14

  15. Slide 15: Explosion in coding productivity

    This year has seen an explosion in coding productivity Growth in various indicators of coding output: New Websites - Y/Y Growth New iOS Apps - Y/Y Growth Github PRs - Y/Y Growth Wrangler Total Downloads 34% 68% 153% 942% Y/Y Y/Y Y/Y Y/Y 2022 2024 2026 2022 2024 2026 2022 2024 2026 2022 2024 2026

  16. Slide 16: Last year… best platform for building and scaling agents

    Last year… We believed Cloudflare would be increasingly recognized as the best platform for building and scaling agents. 16

  17. Slide 17: Developers are getting it

    Developers are “getting itˮ March 2026 5.5+ million 5.5 December 2025 4.5+ million December 2024 3+ million April 2024 2+ million June 2024 2.4+ million MILLION November 2022 1+ million developers on the November 2021 350,000 Cloudflare platform May 2022 450,000 2019 2020 2021 2022 2023 202

  18. Slide 18: Vite ecosystem weekly downloads are skyrocketing

    Vite ecosystem weekly downloads are skyrocketing npm Package Weekly Downloads — vite and @cloudflare/vite-plugin Vite is the #1 JavaScript front-end build tool, powering virtually every major framework with the sole exception of Next.js. When AI coding agents generate modern web applications, they i

  19. Slide 19: What's next?

    Whatʼs next? 19

  20. Slide 20: Still early stages of the rise of agents

    We are still in early stages of the rise of agents Agents are a function of two Train Infer Automate Agents primary components: intelligence / Intelligence reasoning Execution / reasoning and execution. 20

  21. Slide 21: How do agentic AI systems work?

    How do agentic AI systems work? AI  Workflows + APIs = Agents User Feedback Manager Agent No Analyst Agent Checker Planner Agent External Yes. Agent Systems User Satisfaction User Interpretation Workflow Workflow Iterative Output/ Instructions & Reasoning Generation Execution Improvement Outcome 21

  22. Slide 22: AI + Workflows + APIs = Agents: intelligence / reasoning

    AI + Workflows + APIs = Agents — intelligence / reasoning User Feedback Manager Agent No Analyst Agent Checker Planner Agent External Yes. Agent Systems User Satisfaction User Interpretation Workflow Workflow Iterative Output/ Instructions & Reasoning Generation Execution Improvement Outcome 22

  23. Slide 23: Models have significantly improved

    AI INTELLIGENCE / REASONING In the past 6 months, models have significantly improved Trend in Best Software Engineering Benchmark Verified Result by Model 23 Source: SWE-bench verified leaderboard archive (github.com/SWE-bench/experiments), as of June 2, 2026. Each line = one lab's rolling-best su

  24. Slide 24: Flexibility in model choice and availability

    AI INTELLIGENCE / REASONING Cloudflare offers flexibility in model choice and availability AI Gateway Workers AI What you pay for on a hyperscaler Savings What you pay for on Cloudflare Choose from 150+ models, Best provider for both select private and without vendor lock-in open-source models (e.

  25. Slide 25: AI + Workflows + APIs = Agents: execution

    AI + Workflows + APIs = Agents — execution User Feedback Manager Agent No Analyst Agent Checker Planner Agent External Yes. Agent Systems User Satisfaction User Interpretation Workflow Workflow Iterative Output/ Instructions & Reasoning Generation Execution Improvement Outcome 25

  26. Slide 26: Why agents must be able to write code

    Why agents MUST be able to write code: 1. Context window limitations 2. Lack of accuracy 3. LLMs are bad at tool calling 26 26

  27. Slide 27: Context window limitations

    WORKFLOWS  APIs EXECUTION — WHY AGENTS MUST BE ABLE TO WRITE CODE CONTEXT WINDOW LIMITATIONS Why agents MUST be able to write code: Context window limitations Actual Context Tool Definitions System Prompt Task Window 1M 2.5M 2K Conversation 8K When AI agents encounter complex tasks ○ That means

  28. Slide 28: Lack of accuracy

    WORKFLOWS  APIs EXECUTION — WHY AGENTS MUST BE ABLE TO WRITE CODE LACK OF ACCURACY Why agents MUST be able to write code: Lack of accuracy LLMs lack situational context like date and time. To obtain this information, you need to make additional tool calls, which costs more tokens, or create work

  29. Slide 29: LLMs are bad at tool calling

    WORKFLOWS  APIs EXECUTION — WHY AGENTS MUST BE ABLE TO WRITE CODE LLMs ARE BAD AT TOOL CALLING Why agents MUST be able to write code: LLMs are bad at tool calling https://www.anthropic.com/engineering/code-execution-with-mcp ✖ “Tool callingˮ is an artificial injection that happens post-training.

  30. Slide 30: LLMs were never trained for tool calling

    WORKFLOWS  APIs EXECUTION — WHY AGENTS MUST BE ABLE TO WRITE CODE LLMs ARE BAD AT TOOL CALLING LLMs were never trained for tool calling… Metaphor: Making an LLM perform tasks with tool calling is like putting Shakespeare through a month-long class in Mandarin and then asking him to write a play

  31. Slide 31: LLMs were trained on writing lots of code

    WORKFLOWS  APIs EXECUTION — WHY AGENTS MUST BE ABLE TO WRITE CODE LLMs ARE BAD AT TOOL CALLING …but LLMs were trained on writing lots and lots of code. async () => { const today = new Date(); const eventDate = new Date(today.getFullYear(), today.getMonth(), today.getDate(), 18, 0, 0); const isoD

  32. Slide 32: Need a place to securely execute code at scale

    Now, we need a place to securely execute all of this code at scale. So, why canʼt agents just scale on the hyperscalers? 32

  33. Slide 33: How hyperscalers have scaled

    How hyperscalers have scaled… Microservices were all about vertical scaling, or creating many copies to run the same thing. From To Monolith Microservices* * same application, scaled to millions of users 33

  34. Slide 34: …won't work for agents

    …wonʼt work for agents Microservices rely on being able to run many instances of one application, whereas agents generate new instances of applications on each run. From To To Monolith Microservices* Agents** * same application, ** infinite ephemeral applications, scaled to millions of users many pe

  35. Slide 35: Microservices and hyperscalers: one menu

    METAPHOR INDUSTRIAL KITCHEN vs. PERSONAL CHEF Microservices and hyperscalers: One menu, serving millions per day 35

  36. Slide 36: How hyperscalers scale microservices

    METAPHOR INDUSTRIAL KITCHEN vs. PERSONAL CHEF How hyperscalers scale microservices: spin up new franchise kitchens, operationalized around the same menu 36

  37. Slide 37: The problem for agents with hyperscaler scaling

    METAPHOR INDUSTRIAL KITCHEN vs. PERSONAL CHEF The problem for agents with how hyperscalers scale: all compute until today has been designed to execute the same code 37

  38. Slide 38: What agents need to scale

    METAPHOR INDUSTRIAL KITCHEN vs. PERSONAL CHEF What agents need to scale: ephemeral pop-ups, specific to their needs, that can be instantly spun up and down for a task 38

  39. Slide 39: Why the current cloud approach won't scale for agents

    Why the current cloud approach wonʼt scale for agents United States 100M Knowledge Workers 1 Agent per worker 10 Agents per CPU 10M CPUs Global 1B Knowledge Workers 10 Agents per worker 10 Agents per CPU 1B CPUs Current global server CPU production: 20x current global server 35  45M per year CP

  40. Slide 40: The next bottleneck to AI adoption: CPU for execution

    Whatʼs the next bottleneck to AI adoption? Itʼs the CPU for execution. — So, how do we scale to billions of agents? Unpredictable CPU workloads Automate driven by Train Infer Agents agents is the next Consistent GPU workloads Unpredictable GPU workloads bottleneck to Intelligence / Reasoning Execu

  41. Slide 41: The cloud that got us here won't get us where agents go

    The cloud that got us here wonʼt get us to where agents need to go 41

  42. Slide 42: Isolates were built for this moment

    Remember that bold, non-consensus decision we made back in 2017? Isolates were built for this moment! 42

  43. Slide 43: Isolates can run up to 100x more efficiently

    Because isolates can reshare the runtime against many runs, they can run up to 100x more efficiently 43

  44. Slide 44: Cloudflare lowers TCO by 50% for agents

    What does this mean for customers? Cloudflare lowers TCO by 50% for agents and the code they write Serve a single-region web app Deploy 10K agent-generated apps Run 1M agent sessions 1B requests per month Every day, for 30 days Per month 15.2% lower TCO on AWS 63.6% lower TCO on Cloudflare 74.7% lo

  45. Slide 45: Andy Jassy was right about primitives

    Andy Jassy was right about primitives… “The best way we know how to do this is by building primitive services. … Primitives are the raw parts or the most foundational-level building blocks for software developers. … And, over the last 20 years, primitives have been at the heart of how weʼve innovate

  46. Slide 46: The agentic cloud needs new primitives

    …but the agentic cloud needs new primitives 2006 2026 S3 🡒 Durable Objects & Artifacts EC2 → Isolates Workers) SQS → Workflows 46

  47. Slide 47: Customer quote: Discord

    We know what the hyperscalers will look like in 10 years…the same as they do now. Weʼre looking to Cloudflare for what the next generation cloud will look like.ˮ – Mark Smith, VP of Core Tech at Discord 47

  48. Slide 48: Internet traffic is changing as a result of agents

    Internet traffic is changing as a result of agents, driving demand for agentic cloud primitives to scale Desktop and WHERE One Room → On-premises → Everywhere → Anywhere HOW WHEN Batch Deliberate Ubiquitous Continuous 48 Note: Framework inspired by Stratechery.

  49. Slide 49: Agent-native businesses are powered by Cloudflare

    Mobile-native businesses Agent-native businesses were powered by the cloud are powered by Cloudflare ⟶ ⟶ ⟶ ⟶ ⟶ ⟶ ⟶ 49

  50. Slide 50: In the past month alone…

    Figma @figma ic) vwdym of course there's an agent right on the design canvas that’s fluent In Figma and native to the way your team works Lovable @Lovable o Your Lovable apps are now built to be found. New apps are now server side rendered and discoverable through search ‘engines like Google and Al

  51. Slide 51: Fastest, most secure, most cost-effective place to build agents

    Cloudflare is the fastest, most secure, and most cost-effective place to build, deploy, and scale… The code Agents & they write 51

  52. Slide 52: One cloud to power them all

    8 billion Multiple agents Infinite people → per person → lines of code One cloud to power them all 52

  53. Slide 53: Sam Rhea

    Sam Rhea Chief Information Officer

  54. Slide 54: We don't just build and sell AI tools

    We donʼt just build and sell AI tools and platforms… 54

  55. Slide 55: We are our own most demanding AI customer

    …we are our own most demanding AI customer 55 55

  56. Slide 56: What is Cloudflare OS?

    What is Cloudflare OS? 56

  57. Slide 57: Equip and enable every team member to do more

    Equip and enable every team member to do more One-Click AI Agent Centrally Managed Secure System of Model Optionality by Workspace Context Layer Record Access Use Case and Role Full agent harness running Curate the jobs-to-be- Provide access to critical Default to the right model in a Cloudflare con

  58. Slide 58: Cloudflare's agentic workspace

    Cloudflareʼs agentic workspace 58

  59. Slide 59: Framework for where and how team members build

    A new framework for where and how team members build 59

  60. Slide 60: Scaling productivity without scaling cost

    Scaling productivity without scaling cost Cost-efficient Al usage for every employee: ✓ Model optionality Control model usage without lock-in risk ✓ Dynamic routing Map employee roles and skill files to specific models ✓ Infire Faster, more cost-efficient inference ✓ Caching Save token spend on at-s

  61. Slide 61: Investing in a central context layer

    Investing in a central context layer Defining the jobs-to-be-done as centrally managed skill files: ● Tap experts to document workflows and 1 create skill files. ● Create a “magic inboxˮ email alias where 2 everyone else can send work. ● Staff the inbox with Al agent operators 3 who run it as a serv

  62. Slide 62: Cloudflare OS in Action

    Cloudflare OS in Action AL A CLOUDFLARE

  63. Slide 63: A comprehensive skill library

    A comprehensive skill library Every team member 63

  64. Slide 64: Builders / Sellers

    ® crouvrtare Builders Sellers 64

  65. Slide 65: Code review lets us ship even faster, safely

    Code review lets that us lets ship us ship eveneven faster, faster, safely safely Builders 65 65

  66. Slide 66: Agents fix problems so engineers can focus on building

    Agents fix problems so engineers can focus on building Builders 66

  67. Slide 67: BDRs research prospects at scale

    BDRs research prospects at scale for outbound work Sellers 67

  68. Slide 68: Every seller starts with a prescriptive plan

    Every seller starts their day with a prescriptive plan Sellers 68

  69. Slide 69: Generate custom slide decks for each conversation

    Generate custom slide decks for each conversation Sellers 69

  70. Slide 70: Spend event planning time with customers instead

    Spend event planning time with customers instead Sellers 70

  71. Slide 71: Sellers create solution architecture proposals

    Sellers create their own solution architecture proposals Sellers 71 71

  72. Slide 72: Sellers position Cloudflare by use case and region

    Sellers position Cloudflare by use case and region Sellers 72 72

  73. Slide 73: And, we're just getting started

    And, we're just on started | — =——

  74. Slide 74: Stephanie Cohen

    Stephanie Cohen Chief Strategy Officer

  75. Slide 75: Cloudflare was built for this moment

    Cloudflare was built for this moment The business model Cloudflare is the only cloud Every agentic interaction of the Internet is changing built for the Agentic Internet on the Internet is a chance for commerce …and weʼre already seeing results 75

  76. Slide 76: Platform of choice for the agentic web

    Platform of choice for the agentic web 76

  77. Slide 77: We are already seeing results: media sector proof points

    We are already seeing results Media sector proof points 37%+ revenue growth 1.3x higher revenue per customer in Q1ʼ26 vs. Q1ʼ25 than company average t 60%+ expansion rate 117% DNR for retained customers in Q1ʼ26 r in Q1ʼ26 e n Increase Win new d Grow existing  customers Win New Customers customers

  78. Slide 78: The business model of the Internet is changing

    The business model of the Internet is changing 78

  79. Slide 79: AI is a platform shift with unprecedented adoption

    AI is a platform shift, and the adoption is unprecedented Years to reach 1 billion users globally Internet 14 years Social Media 8.5 years 2x+ faster Smartphone 6 years adoption of Gen AI than any other preceding platform shift Gen AI 2.5 years Source: Our World in Data / ITU (internet users, 1B

  80. Slide 80: AI adoption is transforming where we spend our time

    AI adoption is quickly transforming where we spend our time 2000s Internet Open Web: 100% 2010s Mobile Open Web: 100% 2015  22 Social Open Web: 55% Social:45% Social: 45% 2024 Open Web: 25% Social Social and AI75% and AI 75% AI ERA Share of online attention Note: Illustrative / directional frami

  81. Slide 81: AI is breaking the business model of the Internet

    AI is breaking the business model of the Internet Publication Peak Performance Jan 2026 Traffic Decline Mar 2024 8,530,891 264,861 -97% Feb 2024 7,610,480 768,792 -90% Feb 2024 5,322,037 790,002 -85% Feb 2024 1,974,331 293,898 -85% Jul 2024 15,577,298 4,045,783 -74% Nov 2024 7,754,067 2,976,994 -62%

  82. Slide 82: It's not just the media industry

    Itʼs not “justˮ the media industry 82

  83. Slide 83: Multiple industries impacted

    We are seeing multiple industries impacted Absolute human traffic by Industry June 2025 vs. April 2026 comparison) 35 – 40 % DECLINES Jun 2025 Apr 2026 Jun 2025 Apr 2026 Jun 2025 Apr 2026 Jun 2025 Apr 2026 Financial Retail Computer Software IT & Services Services Jun 2025 Apr 2026 83 Source: Cloudf

  84. Slide 84: The business of the Internet needs saving

    And, the business of the Internet needs saving 6+ billion $16+ trillion people connect to the value of the digital economy, Internet, a number that's 15% of global GDP doubled in 11 years 59% 61% of people use the Internet to of users cite information stay connected with friends access as the top re

  85. Slide 85: Mission: Help build a better Internet

    Mission: Help build a better Internet 85

  86. Slide 86: The only cloud built for the Agentic Internet

    Cloudflare is the only cloud built for the Agentic Internet 86

  87. Slide 87: Supply, technical capabilities and demand

    Supply Technical Capabilities Demand Transparency • Control • Optimize • Charge Optimize • Behave • Access • Discover Reliable scarcity Bot Management Infrastructure Filter and manage automated traffic Analytics AI Gateway, Workers, & Workers AI b Value discovery Web Bot Auth u Developer Tools Authe

  88. Slide 88: Supply

    ® crouvrtare Supply 88

  89. Slide 89: The Internet runs on Cloudflare

    The Internet runs on Cloudflare Breadth Depth Importance Uniqueness The worldʼs largest 20% of the Internet 36% of the top 10,000 42% of the developer communities runs on Cloudflare sites run on Cloudflare Fortune 500 run on Cloudflare 89

  90. Slide 90: The economy runs on Cloudflare

    The economy runs on Cloudflare MEDIA SOFTWARE & SAAS RETAIL & ECOMMERCE FINANCE & FINTECH GAMING & GAMBLING HEALTHCARE 90

  91. Slide 91: Demand

    ® crouvrtare Demand 91

  92. Slide 92: Leading AI companies already run on Cloudflare

    Leading AI companies already run on Cloudflare too Top 50 generative AI Web products, by unique monthly visits 78 % run on Cloudflare 92 Source: Top 50 Generative AI Web Products based on a16z Consumer report as of March 2026. This includes generative AI Web products only and does not include mobile

  93. Slide 93: Developers increasingly build agents on Cloudflare

    Developers increasingly build their agents on Cloudflare Agents SDK Downloads Agent SDK Downloads May 2026 42x 3.2M monthly downloads growth in monthly downloads August 2025 1M+ total 14M downloads downloads since March 2025 Launched launch 93 Source: npm public download statistics for the agents p

  94. Slide 94: Technical Capabilities

    ® crouvrtare Technical Capabilities 94

  95. Slide 95: The foundational beliefs that built our platform

    The foundational beliefs that built our platform Secure by default Fast by default Scalable by default A property of where your code A consequence of the platform Handled by the platform, not runs, not a product you attach to it being everywhere, not a region you capacity you provision and manage pi

  96. Slide 96: Technical capabilities required for a functioning market

    Technical capabilities required for a functioning market A payment Reliable system scarcity Neutrality / Crisis Response Analytics a level playing field Streamlined Value workflows discovery 96

  97. Slide 97: Best at identifying, classifying and controlling bots

    #1 FUNCTIONING MARKETS REQUIRE RELIABLE SCARCITY We are the best at identifying, classifying, and controlling bots Our competitive advantage is visibility. The more of the Internet we see, the better we identify, classify, and stop unwanted or malicious bots — before they ever reach our customersʼ

  98. Slide 98: Transformation of data to insights

    #2 FUNCTIONING MARKETS REQUIRE ANALYTICS Transformation of data to insights is key for business development Bot Management began as a threat intelligence product for security but is now also being used for market intelligence to drive marketing and partnerships decisions. 98

  99. Slide 99: First-party signals identify highest-quality content

    #3 FUNCTIONING MARKETS REQUIRE VALUE DISCOVERY First-party signals identify highest-quality content Cloudflareʼs network processes trillions of requests daily, generating unique signals that help partners identify and surface the most relevant information. Demand Traffic Quality Real-time query vol

  100. Slide 100: Easy Button for well-behaving crawlers and agents

    #4 FUNCTIONING MARKETS REQUIRE STREAMLINED WORKFLOWS “Easy Buttonˮ for well-behaving crawlers & agents More developer integrations Building agents Creator revenue on Cloudflare /Crawl explosion means your code runs milliseconds enables agents to crawl in a way that aligns with site ownersʼ preferen

  101. Slide 101: Cloudflare does not compete with publishers or AI labs

    #5 FUNCTIONING MARKETS REQUIRE NEUTRALITY / A LEVEL PLAYING FIELD Cloudflare does not compete with publishers or AI labs As a neutral third-party, Cloudflare can serve both sides… Unique page views by AI crawlers Neutrality transforms Cloudflare from Multipliers show less access vs. #1 crawler an i

  102. Slide 102: Largest payment network comparison

    #6 FUNCTIONING MARKETS REQUIRE A PAYMENT SYSTEM LARGEST PAYMENT NETWORK 900 million 30+ trillion Average transactions per day Average transactions per day 100,000 transactions per second 500+ million transactions per second Source: Largest payment network figures per its public filings and technol

  103. Slide 103: Bridge with the traditional payments ecosystem

    #6 FUNCTIONING MARKETS REQUIRE A PAYMENT SYSTEM Cloudflare is the bridge with the traditional payments ecosystem Web Bot Auth enables merchants to cryptographically verify agent identity before processing transactions. PAYMENT NETWORK ADOPTERS Trusted Agent Verification Deliver secure agentic comme

  104. Slide 104: Every agentic interaction is a chance for commerce

    Every agentic interaction on the Internet is a chance for commerce 104

  105. Slide 105: The agentic surge is real

    The agentic surge is real AI Agent Requests (in billions per day) 1,700% INCREASE in daily AI agent requests on Cloudflareʼs network over one year 105

  106. Slide 106: Machine payments will grow with machine traffic

    Machine payments will grow with machine traffic Cloudflare founded the x402 Foundation with Coinbase and Stripe. 2 BILLION x402 can become the standard to connect machine buyers 402 responses served per day and sellers in the request path. on Cloudflareʼs network 402 200 OK AI agent requests Agent

  107. Slide 107: Full stack for agentic commerce

    We have the full stack for agentic commerce Access control 107

  108. Slide 108: Every agent request can become a metered event

    Every agent request can become a metered event The economic surface expands from content access to recommendations, payments, fulfillment, and audit.  Build Discover Recommend Act Verify Settle deploy + configure crawler access ranking + context reserve or buy identity + policy payment + audit Acce

  109. Slide 109: It's already happening

    Itʼs already happening 109 109

  110. Slide 110: Large media companies use Cloudflare to do deals

    ITʼS ALREADY HAPPENING Large media companies use Cloudflare to do deals 110

  111. Slide 111: People Inc. blocks AI crawlers to get content deals

    People Inc. uses the technology from web infrastructure provider Cloudflare to block other AI crawlers, prompting AI players to approach it with content deals. In September 2025, People attributed its decision to leverage Cloudflareʼs technology as a way to get AI companies to the negotiating table,

  112. Slide 112: Startup AI companies use Cloudflare to access the Internet

    ITʼS ALREADY HAPPENING Startup AI companies use Cloudflare to access the Internet onact 🡒 🡒 Verify site live 🡒 🡒 ive Millions of websites Check renders R2 Daily diffs Signals API Websites to monitor Daily checks Stores raw results On changes only Sends updates Daily website verification for…

  113. Slide 113: Crawl intelligence lets us price niche content

    ITʼS ALREADY HAPPENING Proprietary crawl intelligence lets us price niche content programmatically Crawl Attempts Sample Publisher Sample Health Site  AI Content Scraper 23 MM 112 K Niche Content Scraping AI Chat User 120 MM 787 MM AI crawlers are scraping specific Search Bot 24 MM 459 K content (e

  114. Slide 114: We are just getting started

    We are just getting started Media sector today Tomorrow… 37%+ revenue growth Content Marketplace in Q1ʼ26 vs. Q1ʼ25 Programmatic monetization of content at scale 60%+ expansion rate Signals Standardized, machine-readable vocabulary for retained customers in Q1ʼ26 for real-time decision-making 1.3x h

  115. Slide 115: Act I + Act III = Act IV

    Cloudflare was built for this moment Act I + Act III = Act IV Connect & Protect Build Agentic Internet 115

  116. Slide 116: Mark Anderson

    Mark Anderson President of Revenue

  117. Slide 117: What customers are saying

    What customers are saying The market has come to Cloudflare 117

  118. Slide 118: The market has come to Cloudflare

    The market has come to Cloudflare Then 2024 Now 2026 ↑2.3x 61% 269 52% 173 49% 118 Q4ʼ23 Q4ʼ24 Q4ʼ25 Q4ʼ23 Q4ʼ24 Q4ʼ25 Brand Awareness Trend $1M Large Customers Phase: Market Education Phase: Market Pull ■ “Who is Cloudflare?ˮ ■ AI modernization ■ “Why Cloudflare?ˮ ■ Security transformation ■ “

  119. Slide 119: In the middle of a platform shift

    We are in the middle of a platform shift Cloud Social Agents 2000 2010 2025 2007 2022 Mobile AI 119

  120. Slide 120: AI and agents change everything

    AI and agents change everything 120

  121. Slide 121: AI has moved from experimentation to urgency

    AI has moved from experimentation to urgency 9 months ago Next 12 months AI needs to be enabled but with Autonomous agents will automate a guardrails for businesses double-digit percentage of all work Today AI usage has gone from experimentation to urgency 121

  122. Slide 122: The agentic surge is real

    The agentic surge is real 1,700 % INCREASE in daily AI agent requests on Cloudflareʼs network from June 1, 2025 to May 31, 2026 122

  123. Slide 123: Frontier AI models change the attack landscape

    Frontier AI models change the attack landscape Average time between vulnerability disclosure confirmed exploitation is collapsing 24hrs 2027 123

  124. Slide 124: Customers need a modern platform for an AI-driven world

    Customers Everyone is need a Frontier AI models are building & modern changing running agents platform for the attack an AI-driven landscape world 124

  125. Slide 125: IT budgets and headcounts only marginally increasing

    IT budgets and headcounts are only marginally increasing… 2.8 % 1.3 % average IT budget average tech worker growth in 2026 headcount growth in 2026 125 Source: Gartner CIO Agenda, 2026.

  126. Slide 126: CIOs are expanding AI spending significantly

    …but CIOs are expanding AI spending significantly 88 % 84 % 72 % 69 % Percent of organizations increasing investment in 2026 digital priorities AI Cyber/ Cloud Application information platforms modernization security 126 Source: Gartner CIO Agenda, 2026.

  127. Slide 127: IT leaders' focus: accelerate AI adoption with security

    IT leadersʼ focus initiatives: accelerate AI adoption with security built-in Secure workforce use of AI Govern AI agents Discover and control how employees interact with Secure interactions between human users AI tools (e.g., ChatGPT, Claude) and AI agents Protect applications Build AI securely Defe

  128. Slide 128: A platform that was built for this moment

    Customers donʼt need a whole new paradigm to build, adopt, & secure AI. for users They need a platform that was & for agents built for this moment in the first place. 128

  129. Slide 129: Cloudflare was built for this moment

    Cloudflare was built for this moment. 129

  130. Slide 130: Only vendor to connect, protect and build AI

    Cloudflare is the only vendor to help customers connect, protect, and build AI We offer AI security and AI Category Secure workforce Protect AI-powered infrastructure Govern AI agents Build AI securely use of AI applications products — all on one platform Remote MCP servers, Workers AI, AI Search, C

  131. Slide 131: Building a world-class go-to-market organization

    Building a world-class go-to-market organization 131

  132. Slide 132: Building World-Class GTM

    Accelerate AE Add stage-appropriate momentum leadership and talent Become more Win with partners first Building Crisis Response systematic and World-Class targeted GTM Sell the March towards platform the enterprise 132

  133. Slide 133: Stage-appropriate leadership and talent

    #1 ADD MORE STAGEAPPROPRIATE LEADERSHIP & TALENT Established new GTM leadership team and upleveled sales management and the field Jeff Samuels Chief Marketing Officer Rick Congdon GEO VP, Americas Tony Van den Berge GEO VP, EMEA Goran Risticevic GEO VP, APAC of GTM of account Sayoko Matsumoto GEO

  134. Slide 134: More systematic and targeted approach

    #2 BECOME MORE SYSTEMATIC AND TARGETED Improved go-to-market approach to best address the unique needs of our diverse customer set Defining clear market segments allows Majors Developer Speedboat us to apply Enterprise Cloudflare One specific sales Named Speedboat models to Public Sector target cus

  135. Slide 135: Enterprise momentum continues to build

    #3 MARCH TOWARDS THE ENTERPRISE Enterprise momentum continues to build… $1M Customers vs. Annualized Revenue 800 700 $1M+ customers 600 represent less $1M Customers 500 than 1% of 400 Cloudflareʼs 300 paying 200 customers. 100 0 $1,000 $2,000 $3,000 $4,000 $5,000 Annualized Revenue $M 135 Sourc

  136. Slide 136: Customers in the Top 100 across all industries

    #3 MARCH TOWARDS THE ENTERPRISE …across all industries Customers in the Top 100 Number of Cloudflare Source: FactSet company screening report as of May 2026; screen uses FactSet Revere Business Industry Classification System RBICS) supplemented with Forbes Top 200 US Private Companies. 136 Top 100

  137. Slide 137: Relentless focus on innovation

    #4 SELL THE PLATFORM 2022 Relentless focus on innovation Argo for Spectrum Ethereum Gateway Custom Domain Spectrum Gateway Protection 2014 Advanced Area 1 Email Domains API Shield Security Certification Manager Access Regional Services Images DLP Calls R2 DNS Firewall Argo Workers Image Resizing Pa

  138. Slide 138: Connect, protect, and build everywhere

    #4 SELL THE PLATFORM Connect, protect, and build everywhere Connect and protect Connect and protect external-facing systems internal-facing systems Cloudflare Network Services Cloudflare Zero Trust Services Cloudflare Application Services Build the next-generation of applications Cloudflare Develop

  139. Slide 139: The power of partnership

    #5 WIN WITH PARTNERS FIRST The power of partnership Partners as a % of revenue Partners reach 1000s of customers each PARTNERS CUSTOMERS 139

  140. Slide 140: Physics 101: momentum

    #6 ACCELERATE AE MOMENTUM Physics 101 p=mv Momentum, n. Mass, n. Velocity, n. the quantity of motion in a the quantity of matter within a given a quantity that designates speed moving body, expressed as the object together with the direction of product of its mass and velocity movement 140

  141. Slide 141: Sales productivity at new all-time highs

    #6 ACCELERATE AE MOMENTUM Productivity Rolling 4Quarter ACV per Account Executive Net We are encouraged by the continued improvement in sales productivity to new all-time highs. 141

  142. Slide 142: Increased hiring of stage-appropriate GTM talent

    #6 ACCELERATE AE MOMENTUM Increased hiring of stage-appropriate GTM talent Account Executive Capacity Net Y/Y Growth Composition of New AE Hires We continue to 42% 40% 72% 73% increase hiring in sales — with a focus on enterprise 58% 60% account executives with proven track 28% 27% records. 2022

  143. Slide 143: What's next for 2026 and beyond?

    Whatʼs next for 2026 and beyond? 143

  144. Slide 144: Our own most demanding AI customer

    We are our own most demanding AI customer 144

  145. Slide 145: AI agents are becoming full-cycle co-sellers

    AI agents are becoming full-cycle co-sellers Salesforce: The State of Sales Report – “How Reps Across the industry, sales reps are being Spend Their Time During an Average Workweekˮ stretched thin by two opposing forces: growing customer demands and limited time to deliver. AI agents are increasingl

  146. Slide 146: AI-powered tools transforming sales strategies

    AI-powered tools are transforming sales strategies Examples of AI use cases from one end of the sales process to the other: 1 2 3 4 5 6 7 Next best RFP/RFQ Guided Next best Research Meeting Intelligent opportunit responde pricing/ action assistant support coaching y r quoting ■ Lead gen and ■ Recomm

  147. Slide 147: Customer lifecycle reimagined with AI

    The customer lifecycle reimagined with AI 1. Onboarding 2. Adoption 3. Renewal Setting the foundation Proving value Solidifying the relationship Standardizing the initial journey for Driving deep platform usage through Ensuring commitment and identifying rapid time-to-value and technical strategic b

  148. Slide 148: Go-to-market has achieved escape velocity

    Go-to-market at Cloudflare has achieved escape velocity 148

  149. Slide 149: Thomas Seifert

    Thomas Seifert Chief Financial Officer

  150. Slide 150: Traffic growth is accelerating

    Traffic growth is accelerating Millions of Requests per Second on Cloudflareʼs Network (increase in Q1ʼ25 vs. Q1ʼ26 1,700% + 600+ bps higher Q/Q growth INCREASE in daily AI agent requests on Cloudflareʼs network from June 1, 2025 to May 31, 2026 150

  151. Slide 151: Cloudflare Revenue Models 101

    Cloudflare Revenue Models 101 151

  152. Slide 152: Understanding Cloudflare's revenue models

    Understanding Cloudflareʼs revenue models Flat Rate Pure Usage Pool of Funds Cap Model 1 Free, Pro, and 2 3 Enterprise committed 4 Enterprise committed Pay-As-You-Go) Business plans) value contracts) capacity contracts) One fixed price for unlimited/uncapped Billed in arrears for the exact numbe

  153. Slide 153: Cap model provides predictable revenue

    CAP MODEL Monthly cap contracts provide predictable revenue for Cloudflare and cost for customers… Illustrative Example of Cap Model New contract New contract with raised cap with raised cap at 12 months at 24 months Why customers select a cap model: ✓ offers predictable budgeting, as long as Reques

  154. Slide 154: Accelerating traffic growth and cap model upsizing

    CAP MODEL …but accelerating traffic growth can result in earlier-than- expected increases to cap model contracts Illustrative Example of Cap Model with Accelerated Usage New contract New contract with raised cap with raised cap at 20 months at 9 months When actual usage outpaces a customerʼs initial

  155. Slide 155: Leading technology company increased cap twice in 2025

    A Leading Technology Company: Increased monthly cap twice in 2025 Example: 1st Cap 2nd Increase Cap Existing Billable Data Transfer & Cap Increase customer increasing Revenue monthly cap contract Note: FY2023 and FY2024 revenue reflects actual full fiscal-year revenue; Q1'25Q1'26 revenue is annuali

  156. Slide 156: Pool of funds accelerate platform adoption

    POOL OF FUNDS Pool of funds accelerate platform adoption… Pool of Funds as a % of New ACV Booked Enterprises are increasingly accustomed to purchasing cloud services through flexible consumption models. 156

  157. Slide 157: Pool of funds impact on shape of financial reporting

    POOL OF FUNDS …but can impact the “shapeˮ of financial reporting 2024 PoF Cohort: PoF Revenue 2025 PoF Cohort: PoF Revenue vs. If-Ratable Revenue vs. If-Ratable Revenue Revenue recognition is often lower in the near term but accelerates over course of the contract as customers accelerate adoption an

  158. Slide 158: Leading AI company signed two PoF deals

    A Leading AI Company: Signed two PoF deals in 2024 and 2025 Signed 2-yr 215% $85M increase PoF in ACV Example: 39% Existing Q/Q 73% customer Q/Q 27% transitioning to Q/Q pool of funds Signed 1-yr 44% Q/Q 7 order $13.5M PoF 112% forms Q/Q signed in Signed 2023 35% initial vs. ‘24 contract Run-

  159. Slide 159: Drivers of Value Creation

    Drivers of Value Creation Growth + Profitability 159

  160. Slide 160: Growth

    ® crouvrtare Growth 160

  161. Slide 161: Drivers of high, sustainable growth

    Drivers of high, sustainable growth Expanding TAM Growing pipeline Improving sales productivity and growing capacity Building momentum with Increasing platform Accelerating traction in larger customers adoption key product areas 161

  162. Slide 162: A consistently expanding TAM

    #1 EXPANDING TAM A consistently expanding TAM Cloudflare $384B Developer Services Areas for Potential ● Application Platform Incremental ● Object Storage Growth $329B ● AI & Agent Builder Platforms ● Inference ● AI Observability $282B Cloudflare Network Act IV $238B Services 1 Cloudflare One ● Netw

  163. Slide 163: Pipeline continues to grow

    #2 GROWING PIPELINE Pipeline continues to grow Pipeline $M ↑40% Robust pipeline growth gives us confidence to invest in sales capacity. 163

  164. Slide 164: Go-to-market initiatives are paying off

    #3 IMPROVING SALES PRODUCTIVITY AND GROWING CAPACITY Go-to-market initiatives are paying off Rolling 4Quarter ACV per Account Account Executive Capacity Net Executive Net Y/Y Growth We continue to invest in quota-carrying sales capacity and expect that productivity to continue to grow for a ve

  165. Slide 165: Large customers are getting larger

    #4 BUILDING MOMENTUM WITH LARGE CUSTOMERS Large customers are getting larger Revenue $M) by All Customers $5M 56x 39 42% $1M$5M 55x $500K$1M 37x $100K$500K of the Fortune 500 23x of the Fortune 500 $100K 6x % 2018 2019 2020 2021 2022 2023 2024 2025 165 165 Note: Growth factors (e.g., 6x

  166. Slide 166: Land-and-expand fuels platform adoption

    #5 INCREASING PLATFORM ADOPTION Land-and-expand fuels platform adoption Annualized Recurring Revenue by Annualized Recurring Revenue by Product SKU Product Attach Rate Cohorts $M Our success in driving platform adoption is evidenced by the consistently increasing amount spent with Cloudflare in h

  167. Slide 167: Accelerating traction in key product areas

    #6 ACCELERATING TRACTION IN KEY PRODUCT AREAS Cloudflare One Developer Cloudflareʼs ↑43% ↑137% multi-act play is only just getting y/y growth in ARR in y/y growth in ARR in started. 2025 2025 167 Note: See the Appendix for how we define “Annualized Recurring Revenueˮ or “ARR.ˮ 2025 ARR calculated a

  168. Slide 168: Profitability

    Profitability 168

  169. Slide 169: Unit economics

    Unit economics Unit Economic Margin by Component What does it “cost to bookˮ $1 of Cost to Book incremental ARR? CTB  Sales & CTB Marketing cost per dollar of incremental ARR How much does it “cost to serveˮ Cost to Serve the lifetime revenue? CTS = CTS Delivery, R&D, Support & G&A cost as % of

  170. Slide 170: Gross margin reporting is influenced by multiple factors

    COST TO SERVE  COGS Gross margin reporting is influenced by multiple factors Change in Gross Margin by Factor (since Q1ʼ24 – The percentage of paid versus free traffic on our network, which is neutral to operating margin, has grown significantly. – Workers developer platform products, which are cu

  171. Slide 171: How revenue mix influences unit economic KPIs

    How revenue mix influences unit economic KPIs Act I Act II Act III Act IV 171

  172. Slide 172: Unit economics define the growth/margin frontier

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Unit economics define the Faster growth/margin frontier Value = Revenue - (CTS) - CTB x (Attrition + Growth) Growth Revenue Unit Economic Margin = 44% Slower Lower Higher Unit Economic Margin Note: Illustrative diagram. 172

  173. Slide 173: Unit Economics by Act: Act I

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Unit Economics by Act Faster ACT I - COST TO BOOK : AVERAGE - COST TO SERVE : AVERAGE ACT I - ATTRITION : Higher Growth Slower Lower Higher Unit Economic Margin Note: Illustrative diagram. 173

  174. Slide 174: Unit Economics by Act: Act II

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Unit Economics by Act Faster ACT II - COST TO BOOK : HIGHER - COST TO SERVE : LOW ACT I - ATTRITION : LOWER Growth ACT II Slower Lower Higher Unit Economic Margin Note: Illustrative diagram. 174

  175. Slide 175: Lower gross margin doesn't mean lower unit economic margin

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Lower gross margin doesnʼt mean lower unit economic margin — especially for platform businesses at scale CASE STUDY FOR ACT III COST TO BOOK Early customer acquisition relies on efficient product-led growth PLG, self-serve onboarding, Microsoft Intell

  176. Slide 176: Platform businesses shift growth/margin frontiers

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Platform businesses Faster ACT III possess the unique capacity to structurally shift → Growth their growth/margin → frontiers upward and → to the right as revenue scales. → Slower Lower Higher Unit Economic Margin Note: Illustrative diagram. 176

  177. Slide 177: Unit Economics by Act: Act III

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Unit Economics by Act ACT III Faster ACT III - COST TO BOOK : LOWER - COST TO SERVE : INITIALLY HIGH, ACT I LOWER AT SCALE Growth - ATTRITION : LOW ACT II Slower Lower Higher Unit Economic Margin Note: Illustrative diagram. 177

  178. Slide 178: Unit Economics by Act: Act IV

    HOW REVENUE MIX INFLUENCES UNIT ECONOMIC KPIS Unit Economics by Act Faster ACT IV - COST TO BOOK : LOWEST - COST TO SERVE : LOWEST - ATTRITION : LOWEST Growth Act IV could have unit economics “off the chart” ACT IV Slower Lower Higher Unit Economic Margin Note: Illustrative diagram. 178

  179. Slide 179: What are our financial targets?

    What are our financial targets? 179

  180. Slide 180: $5B annualized revenue before year-end 2028

    Before year-end 2028 $5B annualized revenue Year-end 2025 $2.4B annualized revenue 180

  181. Slide 181: Our Rule of 40 North Star

    Our “Rule ofˮ North Star… 2028 2027 50% + Since IPO 50% 40% 181

  182. Slide 182: AI is driving better cost to book

    COST TO BOOK  S&M AI is driving better cost to book… Illustrative Example of Ratio-Oriented GTM Model Every GTM metric across the technology Non-Quota Carrying industry has historically scaled based on a MARKETING ratio of employees who carry quota AEs to every other support function within the G

  183. Slide 183: Reinvested in more AEs to produce higher growth

    COST TO BOOK  S&M …that can be reinvested in more AEs to produce higher growth Illustrative Example of Ratio-Oriented GTM Model — Status Quo vs. with AI Automation From one end of ------------------ Status Quo ------------------ ---------------- w/ AI Automation ---------------- the sales Headcount

  184. Slide 184: Supercharging a 10x engineer into a 1000x engineer with AI

    COST TO SERVE  R&D Supercharging a 10x engineer into a 1000x engineer with AI ONE ENGINEER  ONE WEEK TWO ENGINEERS  TWO MONTHS EVERY MERGE REQUEST  EVERY REPO Reimplementing Next.js Rebuilding WordPress Reviewing Code across Every Repo Steve Faulkner, Sr. Director of Cloudflare One product manag

  185. Slide 185: AI is transforming G&A workflows

    COST TO SERVE  G&A AI is transforming G&A workflows Low Maturity Top Performers New Frontier G&A is being rebuilt around Al-augmented workflows 8% 6% ■ Finance & Accounting: continuous Healthcare close, automated reconciliations, Principal investors & private equity real-time variance commentary

  186. Slide 186: Long-term operating model

    Long-term operating model Prior Updated Long-Term Long-Term 2022 2023 2024 2025 Model Model Gross 78 % 78 % 79 % 76 % 75%  77% 70%  77% Margin Sales & Marketing 42 % 40 % 38 % 36 % 27%  29% 23%  25% % of revenue) Research & Development 19 % 17 % 16 % 16 % 18%  20% 15%  17% % of revenue) Gene

  187. Slide 187: Achieve GAAP profitability by 2028

    Achieve GAAP profitability by 2028 latest 187

  188. Slide 188: Matthew Prince, Michelle Zatlyn, Thomas Seifert, Mark Anderson

    Matthew Prince Michelle Zatlyn Thomas Seifert Mark Anderson Co-founder & Chief Co-founder & Chief Financial Officer President of Executive Officer President Revenue 188

  189. Slide 189: Appendix

    Appendix

  190. Slide 190: GAAP to Non-GAAP Reconciliation (Annual)

    GAAP to Non-GAAP Reconciliation Annual 190

  191. Slide 191: GAAP to Non-GAAP Reconciliation (Quarterly)

    GAAP to Non-GAAP Reconciliation Quarterly) 191

  192. Slide 192: Definitions & Methodologies

    Definitions & Methodologies Paying Customers. We believe our ability to grow the number of paying customers on our network provides a key indicator of growth of our business and our future business opportunities. We define a paying customer at the end of the quarter as a person or entity who has gen

  193. Slide 193: Definitions & Methodologies

    Definitions & Methodologies Annualized Recurring Revenue ARR. Annualized Recurring Revenue, or ARR, is defined as the annualized value of our customer subscription contracts as of the measurement date, assuming any contract that expires during the next 12 months is renewed on its existing terms. A

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