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 466 companies using Decagon AI and 94 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (23%) 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 modifications to subprocessor lists.

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Company Employees Industry Country Region Usage Start Date
Payoneer source 1,001โ€“5,000 Financial Services
United States
North America 2026-06-10
PriceSmart source 5,001โ€“10,000 Retail
United States
North America 2026-06-06
PlatLog source 1,001โ€“5,000 Transportation, Logistics, Supply Chain and Storage
Brazil
South America 2026-06-04
StubHub source 1,001โ€“5,000 Software Development
United States
North America 2026-06-03
GoodVets source 201โ€“500 Veterinary Services
United States
North America 2026-06-02
NeoGenomics Laboratories source 1,001โ€“5,000 Hospitals and Health Care
United States
North America 2026-05-22
ClarityPay source 51โ€“200 Financial Services
United States
North America 2026-05-20
EverBank source 1,001โ€“5,000 Banking
United States
North America 2026-05-19
Jomashop.com source 51โ€“200 Technology, Information and Internet
United States
North America 2026-05-15
Zocdoc source 501โ€“1,000 Internet Publishing
United States
North America 2026-05-15
Stone source 5,001โ€“10,000 IT Services and IT Consulting
Brazil
South America 2026-05-14
Patreon source 201โ€“500 Technology, Information and Internet
United States
North America 2026-05-13
Suntory Holdings Limited source 10,001+ Food and Beverage Services
Japan
Asia 2026-05-10
Pluralsight source 1,001โ€“5,000 E-Learning Providers
United States
North America 2026-05-09
Connox GmbH source 201โ€“500 Retail Furniture and Home Furnishings
Germany
Europe 2026-05-07
Robinhood source 1,001โ€“5,000 Financial Services
United States
North America 2026-05-07
Progressive Insurance source 10,001+ Insurance
United States
North America 2026-05-04
Evolent source 1,001โ€“5,000 Hospitals and Health Care
United States
North America 2026-05-03
Bitdefender source 1,001โ€“5,000 Software Development
Romania
Europe 2026-05-02
Grupo Autoglass source 1,001โ€“5,000 Retail
Brazil
South America 2026-05-02
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Software Development 101 (23%)
Financial Services 71 (16%)
Technology, Information and Internet 29 (6%)
Retail 19 (4%)
IT Services and IT Consulting 16 (4%)

๐Ÿ“ Company Size Distribution

10,001+ employees 114 (25%)
1,001-5,000 employees 102 (23%)
501-1,000 employees 75 (17%)
201-500 employees 67 (15%)
51-200 employees 51 (11%)

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

Source: Analysis of Linkedin bios of 466 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 466 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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