Companies that use Posh.ai

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ contact center โ€บ Posh.ai

Posh.ai We detected 58 companies using Posh.ai, 10 companies that churned, and 2 customers with upcoming renewal in the next 3 months. The most common industry is Financial Services (52%) and the most common company size is 201-500 employees (36%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

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Company Employees Industry Country Region Usage Start Date
iTHINK Financial 201โ€“500 Banking
United States
North America 2026-07-10
SCU Credit Union 51โ€“200 Banking
United States
North America 2026-06-26
Discovery Federal Credit Union 11โ€“50 Financial Services
United States
North America 2026-04-08
Tucson Federal Credit Union 51โ€“200 Financial Services
United States
North America 2026-02-21
American Partners Federal Credit Union 11โ€“50 Financial Services N/A North America 2026-01-14
Eagle Community Credit Union 51โ€“200 Banking
United States
North America 2025-12-16
Lighthouse Credit Union 201โ€“500 Financial Services
United States
North America 2025-11-12
Flagler Credit Union, A Division of Dort Financial 11โ€“50 Banking
United States
North America 2025-10-19
Noble Credit Union 201โ€“500 Banking
United States
North America 2025-03-16
Hudson Valley Credit Union 501โ€“1,000 Financial Services
United States
North America
Service Credit Union 501โ€“1,000 Banking
United States
North America
MIDFLORIDA Credit Union 1,001โ€“5,000 Banking
United States
North America
AmeriCU Credit Union 201โ€“500 Banking
United States
North America
Salem Five Bank 501โ€“1,000 Financial Services
United States
North America
Canvas Credit Union 501โ€“1,000 Financial Services
United States
North America
Citadel Credit Union 501โ€“1,000 Banking
United States
North America
ORNL Federal Credit Union 501โ€“1,000 Banking
United States
North America
Tower Federal Credit Union 501โ€“1,000 Financial Services
United States
North America
Affinity Plus Federal Credit Union 501โ€“1,000 Banking
United States
North America
Camden National Bank 501โ€“1,000 Banking
United States
North America
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Financial Services 30 (52%)
Banking 27 (47%)
Software Development 1 (2%)

๐Ÿ“ Company Size Distribution

201-500 employees 21 (36%)
51-200 employees 21 (36%)
501-1,000 employees 12 (21%)
11-50 employees 3 (5%)
1,001-5,000 employees 1 (2%)

๐Ÿ‘ฅ What types of companies use Posh.ai?

Source: Analysis of Linkedin bios of 58 companies that use Posh.ai

Company Characteristics
i
Trait
Likelihood
Industry: Banking
319.5x
Industry: Financial Services
41.3x
Company Size: 501-1,000
19.1x
Company Size: 201-500
12.0x
Country: United States
7.8x
Company Size: 51-200
6.1x
I noticed that Posh.ai's customers are overwhelmingly credit unions and community banks across the United States. These aren't tech companies or retailers. They're financial institutions that hold deposits, issue loans, provide mortgages, and offer basic banking services to their local communities. Many started decades ago serving specific employee groups (postal workers, teachers, university staff) and have since expanded to serve broader geographic areas.

These are mature, established institutions. The asset sizes range from hundreds of millions to several billion dollars. Employee counts typically fall between 50 and 500, with some larger outliers exceeding 1,000 employees. Many celebrate 70, 80, or even 90-year histories. They operate multiple physical branches (often 10 to 30 locations) and serve member bases ranging from 35,000 to over 300,000 people. Only a few companies show any venture funding, and those are small debt rounds, not equity investments.

๐Ÿ”ง What other technologies do Posh.ai customers also use?

Source: Analysis of tech stacks from 58 companies that use Posh.ai

Commonly Paired Technologies
i
Technology
Likelihood
8032.4x
6625.5x
6601.0x
3037.3x
1368.6x
1087.6x
I noticed that Posh.ai users are primarily financial services companies, particularly credit unions and regional banks, focused on digital customer engagement and regulatory compliance. The stack reveals organizations trying to modernize their member experience while managing strict security requirements. These aren't startups experimenting with chatbots. They're established financial institutions with sophisticated needs around identity management, compliance, and omnichannel communication.

The pairing of Glia and Liveperson alongside Posh.ai tells me these companies are investing heavily in conversational AI and digital banking experiences. They're building multiple layers of customer interaction tools, suggesting they handle high volumes of routine inquiries that need automation. The presence of Sailpoint Identity Cloud makes perfect sense here because financial institutions need enterprise-grade identity and access management. When you're deploying AI that touches customer accounts, you can't compromise on security. Meanwhile, SiteImprove indicates these organizations care deeply about their web presence, digital accessibility, and compliance with standards like ADA, which is critical for regulated financial institutions.

The full stack screams regulated industry with digital transformation initiatives. These are not product-led growth companies. They're service-led organizations where trust and compliance drive decisions. The combination of marketing analytics tools like TVSquared with enterprise security and customer engagement platforms suggests mid-to-late stage companies with dedicated budgets for different departments. They have the resources to invest in specialized tools rather than all-in-one platforms.

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