Companies that use Decagon AI

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

Decagon AI We detected 398 companies using Decagon AI and 48 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (24%) 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.

⏱️ Data is delayed by 1 month. To show real-time data, sign up for a free trial or login
Company Employees Industry Region YoY Headcount Growth Usage Start Date
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
Acorns 501–1,000 Financial Services US +15.4% 2026-01-24
Synchrony 10,001+ Financial Services US +8.7% 2026-01-24
Walgreens 10,001+ Retail Pharmacies US +6.1% 2026-01-23
RateGenius 201–500 Financial Services US -6.2% 2026-01-22
WatchGuard Technologies 1,001–5,000 Computer and Network Security US +11.6% 2026-01-20
Grubhub 1,001–5,000 Technology, Information and Internet US -5.8% 2026-01-20
Questrade Financial Group 1,001–5,000 Financial Services CA -12% 2026-01-20
Arvest Bank 5,001–10,000 Banking N/A +7.4% 2026-01-18
Fiserv 10,001+ IT Services and IT Consulting US +4.2% 2026-01-18
Copart India Technology Center 501–1,000 IT Services and IT Consulting IN +14.3% 2026-01-18
NatWest 10,001+ Banking GB +1.2% 2026-01-16
JetSMART Airlines 501–1,000 Airlines and Aviation CL +20.8% 2026-01-15
AstraZeneca 10,001+ Pharmaceutical Manufacturing GB +4.2% 2026-01-13
Showing 1-20 of 398

Market Insights

🏢 Top Industries

Software Development 91 (24%)
Financial Services 64 (17%)
Technology, Information and Internet 21 (6%)
Retail 16 (4%)
IT Services and IT Consulting 14 (4%)

📏 Company Size Distribution

10,001+ employees 103 (27%)
1,001-5,000 employees 81 (21%)
501-1,000 employees 67 (18%)
201-500 employees 57 (15%)
51-200 employees 39 (10%)

👥 What types of companies use Decagon AI?

Source: Analysis of Linkedin bios of 398 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 398 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.

Alternatives and Competitors to Decagon AI

Explore vendors that are alternatives in this category

Forethought Forethought Decagon AI Decagon AI Level AI Level AI Sierra AI Sierra AI ElevenLabs ElevenLabs Ada Ada

Loading data...