Companies that use Cloudflare Agents

Analyzed and validated by Henley Wing Chiu
All machine learning and LLM development Cloudflare Agents

Cloudflare Agents We detected 70 companies using Cloudflare Agents. The most common industry is Software Development (48%) and the most common company size is 11-50 employees (36%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: We track companies that use Cloudflare Agents to build a MCP server. We also track all companies that use Cloudflare in general

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
Lean Labs 11–50 Advertising Services US N/A
aneon solutions - A h&z Group Company 11–50 Information Technology & Services AT N/A
MailerSend 2–10 IT Services and IT Consulting US N/A
Unblock 2–10 Environmental Services N/A N/A
KERNEL 2–10 Software Development N/A N/A
Techmakers 2–10 IT Services and IT Consulting IT N/A
Apify 51–200 Technology, Information and Internet CZ N/A
Sønr 11–50 Insurance GB N/A
Square 1,001–5,000 Software Development US N/A
DevCycle 11–50 Software Development US N/A
Command Code 11–50 Software Development US N/A
Zeabur 11–50 Software Development US N/A
Cirra AI 2–10 Software Development US N/A
Clemta 11–50 Financial Services US N/A
Fingertip (acq. by Linktree) 2–10 Software Development AU N/A
itGenius 🤓 Biz Tech Experts 11–50 IT Services and IT Consulting AU N/A
DoiT 501–1,000 Technology, Information and Internet US N/A
CBOS 11–50 Software Development ZA N/A
Contentful 501–1,000 Software Development DE N/A
PayPal 10,001+ Software Development US N/A
Showing 1-50 of 2,769

Market Insights

🏢 Top Industries

Software Development 29 (48%)
Technology, Information and Internet 10 (17%)
IT Services and IT Consulting 8 (13%)
Financial Services 3 (5%)
Computer and Network Security 2 (3%)

📏 Company Size Distribution

11-50 employees 22 (36%)
51-200 employees 14 (23%)
2-10 employees 12 (20%)
501-1,000 employees 6 (10%)
1,001-5,000 employees 4 (7%)

👥 What types of companies use Cloudflare Agents?

Source: Analysis of Linkedin bios of 70 companies that use Cloudflare Agents

Company Characteristics
i
Trait
Likelihood
Industry: Software Development
39.7x
Industry: Technology, Information and Internet
23.8x
Company Size: 51-200
7.5x
Country: US
5.3x
Company Size: 11-50
3.0x
Company Size: 2-10
1.8x
I noticed these companies fall into three main categories: developer infrastructure and tooling (Apify, Replicate, DevCycle, Zeabur), business software platforms serving other companies (Contentful, Linear, Webflow, Klaviyo), and fintech/payments companies (Square, PayPal, Dodo Payments, Clemta). What unites them is they're building products that other businesses depend on daily. They're not selling widgets, they're selling the pipes and platforms that power modern digital businesses.

The funding data reveals a clear pattern: these are predominantly growth-stage companies. I see lots of Series A and B rounds (Krisp $9M, Linear $82M, Middesk $57M, Replicate $40M), with a few later-stage players like Contentful at Series F ($175M). There are some pre-seed and seed companies, but even those describe themselves with growth language. The employee counts cluster between 11-200 people, that classic scaling phase where infrastructure decisions really matter. Only a handful are true enterprises like PayPal, Square, or Cloudflare itself.

🔧 What other technologies do Cloudflare Agents customers also use?

Source: Analysis of tech stacks from 70 companies that use Cloudflare Agents

Commonly Paired Technologies
i
Technology
Likelihood
4330.8x
2649.8x
2604.7x
2090.9x
1942.9x
1693.5x
I noticed that Cloudflare Agents users are overwhelmingly developer-focused companies in the early to mid-growth stage. The massive correlation with MCP (4330x more likely) immediately signals these are technically sophisticated organizations building AI-powered products. When you combine this with Cursor appearing 1693x more often, it's clear we're looking at companies where engineering teams are experimenting with cutting-edge AI development tools and infrastructure. These aren't traditional enterprises adopting conservative tech. They're nimble organizations where developers have significant influence over purchasing decisions.

The pairing of MCP and Cursor is particularly telling. Both are AI-native development tools, suggesting these companies are building AI features into their core products, not just experimenting on the side. The appearance of Glean (2649x more likely) adds another dimension. Glean is an enterprise search tool, which means these companies are already managing enough information and scale that they need sophisticated internal knowledge systems. When you layer in ZipHQ and Dovetail, both collaboration and research tools, you see teams that are highly focused on velocity and informed decision-making. They're investing in tools that help them move faster while staying aligned.

My analysis shows these are product-led companies, likely Series A through Series C stage. The tech stack screams product-led growth. They're not heavily sales-tooled. Instead, they're investing in developer productivity and internal efficiency. These companies probably have 50 to 300 employees with engineering representing a significant percentage of headcount. They're building products for other technical users and understand that infrastructure choices like Cloudflare Agents are competitive advantages.

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