Companies that use Decagon AI

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ conversational AI โ€บ Decagon AI

Decagon AI We detected 531 companies using Decagon AI and 62 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (21%) and the most common company size is 10,001+ employees (25%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs.

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Company Employees Industry Country Region Usage Start Date
Boscov's Department Store, LLC source 5,001โ€“10,000 Retail
United States
North America 2026-08-28
Malwarebytes source 501โ€“1,000 Computer and Network Security
United States
North America 2026-08-28
Logitech source 5,001โ€“10,000 Computers and Electronics Manufacturing
United States
North America 2026-08-28
Kenect source 51โ€“200 Software Development
United States
North America 2026-08-27
Intuit source 10,001+ Software Development
United States
North America 2026-08-27
EXPRESS source 5,001โ€“10,000 Retail
United States
North America 2026-08-26
MANSCAPED source 201โ€“500 Personal Care Product Manufacturing
United States
North America 2026-08-22
ezCater source 501โ€“1,000 Software Development
United States
North America 2026-08-20
Veriforce source 501โ€“1,000 IT Services and IT Consulting
United States
North America 2026-08-20
Datavant source 5,001โ€“10,000 Software Development
United States
North America 2026-08-20
CarePayment source 51โ€“200 Hospitals and Health Care
United States
North America 2026-08-16
Kafene source 51โ€“200 Financial Services
United States
North America 2026-08-15
Justworks source 1,001โ€“5,000 Human Resources Services
United States
North America 2026-08-15
TripADeal source 51โ€“200 Travel Arrangements
Australia
Oceania 2026-08-14
Phantom source 51โ€“200 Software Development
United States
North America 2026-08-10
ComEd source 5,001โ€“10,000 Utilities
United States
North America 2026-08-10
LogicMonitor source 1,001โ€“5,000 Software Development
United States
North America 2026-08-09
Trip.com Group source 10,001+ Technology, Information and Internet
China
Asia 2026-08-08
BambooHR source 1,001โ€“5,000 Human Resources Services
United States
North America 2026-08-07
OpusClip source 51โ€“200 Software Development
United States
North America 2026-08-04
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Software Development 108 (21%)
Financial Services 79 (16%)
Technology, Information and Internet 36 (7%)
Retail 24 (5%)
Telecommunications 18 (4%)

๐Ÿ“ Company Size Distribution

10,001+ employees 128 (25%)
1,001-5,000 employees 117 (23%)
501-1,000 employees 85 (17%)
201-500 employees 73 (14%)
51-200 employees 60 (12%)

๐Ÿ‘ฅ What types of companies use Decagon AI?

Source: Analysis of Linkedin bios of 531 companies that use Decagon AI

Company Characteristics
i
Trait
Likelihood
Funding Stage: Series F
1175.7x
Funding Stage: Series E
685.3x
Funding Stage: Secondary market
480.6x
Company Size: 10,001+
83.8x
Company Size: 5,001-10,000
33.7x
Industry: Banking
25.6x
I analyzed these companies and found that Decagon AI's customers span an incredibly diverse range of sectors, but they share a common thread: they're all dealing with high volumes of customer interactions. These aren't just B2B software companies. I'm seeing financial services providers like MoneyGram and Zolve, retailers like Nike and Poshmark, insurance companies like Travelers and Humana, telecommunications giants like Xfinity and Vodacom, and even fitness studios like Barry's. What unites them is that they all have large customer bases requiring support at scale.

Looking at company maturity, I'm seeing a strong bias toward established, scaled businesses. Most have employee counts in the thousands or tens of thousands. Many are publicly traded or have gone through multiple funding rounds. Even the smaller companies like Givebutter or sploot have substantial funding and are clearly in growth mode. These aren't garage startups testing product-market fit. They're companies with real revenue, real customers, and real support volume challenges.

๐Ÿ”ง What other technologies do Decagon AI customers also use?

Source: Analysis of tech stacks from 531 companies that use Decagon AI

Commonly Paired Technologies
i
Technology
Likelihood
6579.7x
3638.5x
3458.6x
3279.8x
2780.1x
1030.0x
I noticed that Decagon AI attracts companies obsessed with operational excellence and employee experience, particularly in the growth stage where efficiency becomes critical. The presence of tools like Impact, Glean, and DX tells me these are organizations investing heavily in internal knowledge management and partnership operations. This isn't your typical sales-heavy startup stack. These companies are building sophisticated operational infrastructure.

The pairing of Decagon AI with Glean is particularly revealing. Glean helps employees search across all internal tools and documents, while Decagon handles AI-powered customer support. Together, they suggest companies dealing with complex knowledge bases who want both their employees and customers to access information quickly. The high correlation with Tines, a workflow automation platform, reinforces this. These companies are automating repetitive processes across their operations, not just in customer service. Adding Qualtrics to the mix shows they're measuring experience quality obsessively, whether that's customer satisfaction or employee feedback.

The full picture reveals companies in a specific growth phase. They're past the scrappy startup stage but racing to scale efficiently. They're likely product-led or hybrid motion companies because they're investing in self-service infrastructure and knowledge management rather than just throwing more salespeople at growth. The presence of ZipHQ, an HR tool, alongside customer experience platforms suggests they're growing headcount rapidly and need systems to manage that complexity. These aren't massive enterprises yet, but they're building enterprise-grade operations.

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