Companies that use Swan

Analyzed and validated by Henley Wing Chiu

Swan We detected 166 customers using Swan and 47 companies that churned or ended their trial. The most common industry is Software Development (42%) and the most common company size is 11-50 employees (54%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.

Note: We only track when a company installs the Swan tracking script on their website (majority of customers)

About Swan

Swan identifies and de-anonymizes website visitors using AI agents, then automatically qualifies them against ideal customer profiles and executes personalized outreach on LinkedIn and email to convert anonymous traffic into sales meetings.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
Upriver 11–50 Software Development IL +100% 2025-12-26
DataFlint 11–50 Data Infrastructure and Analytics N/A +44.4% 2025-12-21
Returniverse 11–50 Software Development US +8.3% 2025-12-17
Shovels 2–10 Data Infrastructure and Analytics US +30.8% 2025-12-17
Payouts Network 11–50 Financial Services US +8.7% 2025-12-10
Modulate 11–50 Software Development US +7.8% 2025-12-08
Kinetech Cloud 11–50 IT Services and IT Consulting US -8.3% 2025-11-27
Cymbio 51–200 Information Technology & Services IL +5.6% 2025-11-13
Elite Performance Medical 2–10 Higher Education N/A +433.3% 2025-11-12
EasySend 51–200 Software Development IL -13.3% 2025-11-11
Finout 51–200 Software Development IL +43.2% 2025-11-10
Charm Security 11–50 Computer and Network Security US +400% 2025-11-10
Rainforest QA 11–50 Software Development US -9.9% 2025-11-08
SketchDeck.ai 2–10 Software Development CA +88.9% 2025-11-07
Superlegal 51–200 Software Development US N/A 2025-11-02
AptEdge 11–50 Software Development US 0% 2025-10-31
Sedric 11–50 Software Development N/A +48.9% 2025-10-25
Draftt 11–50 Software Development N/A +16.7% 2025-10-23
Klaar 11–50 Software Development US 0% 2025-10-23
Base 11–50 Software Development US +5.9% 2025-10-22
Showing 1-20 of 166

Market Insights

🏢 Top Industries

Software Development 66 (42%)
Technology, Information and Internet 24 (15%)
Computer and Network Security 8 (5%)
Financial Services 8 (5%)
IT Services and IT Consulting 6 (4%)

📏 Company Size Distribution

11-50 employees 87 (54%)
51-200 employees 43 (27%)
2-10 employees 25 (16%)
201-500 employees 4 (2%)
1,001-5,000 employees 1 (1%)

🔧 What other technologies do Swan customers also use?

Source: Analysis of tech stacks from 166 companies that use Swan

Commonly Paired Technologies
i
Technology
Likelihood
12388.8x
9053.4x
1019.7x
569.1x
564.5x
473.7x
I noticed that Swan users are running aggressive, modern outbound sales operations with a heavy emphasis on website visitor identification and account-based prospecting. The massive correlation with tools like RB2B, Warmly, and Vector.co tells me these companies are obsessed with capturing buying intent signals the moment someone lands on their website. They're not waiting for forms to be filled out. They want to know who's browsing and reach out immediately.

The pairing of RB2B with Warmly is particularly revealing. RB2B identifies anonymous website visitors at the company level, while Warmly takes that data and turns it into immediate sales actions. Add Midbound to the mix, which focuses on catching prospects when they're actually in-market, and you see a clear pattern. These companies are building real-time prospecting machines that react to buying signals within minutes, not days. The presence of Knock AI, which automates personalized outreach, suggests they're trying to operate this motion at scale without drowning their sales teams in manual work.

The full stack screams sales-led growth at the early to mid-stage startup level. These aren't enterprise companies with long-established processes. They're startups trying to punch above their weight class by being faster and smarter about identifying opportunities. The Salesforce App Exchange correlation confirms they're investing in CRM infrastructure, but the focus on visitor identification and intent data shows they're hunting for efficiency gains in the top of funnel, not just optimizing existing pipeline.

👥 What types of companies is most likely to use Swan?

Source: Analysis of Linkedin bios of 166 companies that use Swan

Company Characteristics
i
Trait
Likelihood
Funding Stage: Seed
54.4x
Industry: Software Development
18.5x
Industry: Technology, Information and Internet
15.8x
Company Size: 51-200
3.4x
Country: US
3.0x
Company Size: 11-50
2.3x
I analyzed these companies and found that Swan's typical customers are B2B software and technology companies building platforms that other businesses depend on. They're not selling to consumers. They're creating infrastructure for financial services, building developer tools, automating business operations, or providing specialized SaaS solutions. Many are in fintech, but you also see heavy representation in cybersecurity, cloud infrastructure, procurement automation, and workforce management.

These are predominantly growth-stage companies. The funding data tells part of the story: most have raised Seed through Series B rounds, typically between 5 million and 50 million dollars. Employee counts cluster between 11 and 200 people. These aren't scrappy pre-product startups, nor are they mature public companies. They're in that critical scaling phase where they have product-market fit and paying customers, but they're still building out infrastructure, adding features, and figuring out operations at scale.

Alternatives and Competitors to Swan

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