Companies that use Decagon AI

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

Decagon AI We detected 453 companies using Decagon AI and 89 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
Kinetic 10,001+ Telecommunications US N/A 2026-04-10
Truework 51–200 Financial Services US N/A 2026-04-04
KeyBank 10,001+ Banking US N/A 2026-04-03
FIGS 201–500 Retail Apparel and Fashion US N/A 2026-04-02
Contabo 201–500 Software Development DE N/A 2026-03-28
Careem 1,001–5,000 Software Development AE N/A 2026-03-28
Telna 51–200 Telecommunications CA N/A 2026-03-27
Ennismore 10,001+ Hospitality GB N/A 2026-03-26
UPC Chello 5,001–10,000 Business Consulting and Services NL N/A 2026-03-24
Ticketek Australia 201–500 Entertainment Providers AU N/A 2026-03-23
Truist 10,001+ Financial Services US N/A 2026-03-23
ISDIN 501–1,000 Pharmaceutical Manufacturing ES N/A 2026-03-21
Xero 1,001–5,000 Software Development NZ N/A 2026-03-18
Wealthfront 201–500 Financial Services US N/A 2026-03-14
Thriveworks 1,001–5,000 Mental Health Care US N/A 2026-03-13
Shippo 201–500 Software Development US N/A 2026-03-13
Patagonia 1,001–5,000 Retail US N/A 2026-03-12
Opendoor 1,001–5,000 Software Development US N/A 2026-03-08
Bankwell 51–200 Banking US N/A 2026-03-05
Showing 1-20

Market Insights

🏢 Top Industries

Software Development 100 (23%)
Financial Services 68 (16%)
Technology, Information and Internet 24 (6%)
Retail 18 (4%)
IT Services and IT Consulting 17 (4%)

📏 Company Size Distribution

10,001+ employees 117 (27%)
1,001-5,000 employees 93 (21%)
501-1,000 employees 70 (16%)
201-500 employees 66 (15%)
51-200 employees 48 (11%)

👥 What types of companies use Decagon AI?

Source: Analysis of Linkedin bios of 453 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.

🔧 What other technologies do Decagon AI customers also use?

Source: Analysis of tech stacks from 453 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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