Companies that use Decagon AI

Analyzed and validated by Henley Wing Chiu
All conversational AI Decagon AI

Decagon AI We detected 411 companies using Decagon AI and 67 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 (27%). 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 Region YoY Headcount Growth Usage Start Date
BradyPLUS 5,001–10,000 Professional Services US +6.3% 2026-03-01
Attindas Hygiene Partners 1,001–5,000 Consumer Goods US N/A 2026-03-01
ResortPass 51–200 Internet Marketplace Platforms US +12.8% 2026-02-27
Bombas 51–200 Retail Apparel and Fashion US +10.9% 2026-02-24
Accor 10,001+ Hospitality FR +4% 2026-02-24
Afterpay 501–1,000 Financial Services AU -10.8% 2026-02-23
GitLab 1,001–5,000 IT Services and IT Consulting US +15.8% 2026-02-21
Fullscript 501–1,000 Health and Human Services CA +22.8% 2026-02-21
AllTrails 201–500 Technology, Information and Internet US +15.3% 2026-02-20
Dexcom 10,001+ Medical Equipment Manufacturing US +11.5% 2026-02-16
BlaBlaCar 501–1,000 Technology, Information and Internet FR +17.3% 2026-02-16
Rappi 1,001–5,000 Technology, Information and Media OO +10% 2026-02-14
Peloton Interactive 1,001–5,000 Wellness and Fitness Services US -9.3% 2026-02-14
Whirlpool Corporation 10,001+ Manufacturing US +3.4% 2026-02-07
LifeMD 201–500 Wellness and Fitness Services US +23.3% 2026-02-06
FLEETCOR 5,001–10,000 Financial Services US N/A 2026-02-05
Bloomingdale's 5,001–10,000 Retail Luxury Goods and Jewelry US +5.4% 2026-02-04
Vagaro 201–500 Software Development US +21.8% 2026-01-31
Cargill 10,001+ Food and Beverage Manufacturing US -10% 2026-01-28
WeWork 5,001–10,000 Real Estate US +2.6% 2026-01-28
Showing 1-20 of 411

Market Insights

🏢 Top Industries

Software Development 91 (23%)
Financial Services 65 (16%)
Technology, Information and Internet 23 (6%)
Retail 16 (4%)
IT Services and IT Consulting 15 (4%)

📏 Company Size Distribution

10,001+ employees 105 (27%)
1,001-5,000 employees 86 (22%)
501-1,000 employees 69 (18%)
201-500 employees 58 (15%)
51-200 employees 41 (10%)

👥 What types of companies use Decagon AI?

Source: Analysis of Linkedin bios of 411 companies that use Decagon AI

Company Characteristics
i
Trait
Likelihood
Company Size: 1,001-5,000
9.9x
Industry: Software Development
6.0x
Country: US
1.5x
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.

🔧 What other technologies do Decagon AI customers also use?

Source: Analysis of tech stacks from 411 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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