Companies that use Sana AI

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ learning management โ€บ Sana AI

Sana AI We detected 508 companies using Sana AI, 18 companies that churned, and 71 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (22%) and the most common company size is 1,001-5,000 employees (26%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: We only track companies using Sana AI (a Workday company). We have data separately on companies that use the core Workday product.

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Company Employees Industry Country Region Usage Start Date
ThomasLloyd Group source 1,001โ€“5,000 Environmental Services
Switzerland
Europe 2026-07-20
TAKKT Group source 1,001โ€“5,000 Wholesale
Germany
Europe 2026-07-20
Rainbow Centre source 501โ€“1,000 Non-profit Organizations
Singapore
Asia 2026-07-19
Pine Rest Christian Mental Health Services source 1,001โ€“5,000 Mental Health Care
United States
North America 2026-07-19
OneTrust source 1,001โ€“5,000 Software Development
United States
North America 2026-07-19
Nidec Corporation Global source 10,001+ Appliances, Electrical, and Electronics Manufacturing
Japan
Asia 2026-07-19
Nadara source 501โ€“1,000 Renewable Energy Power Generation
United Kingdom
Europe 2026-07-18
Moody's Corporation source 10,001+ Financial Services
United States
North America 2026-07-18
Maryland-National Capital Park and Planning Commission source 1,001โ€“5,000 Government Administration
United States
North America 2026-07-18
Lockton source 10,001+ Insurance
United States
North America 2026-07-18
Legend Biotech source 1,001โ€“5,000 Biotechnology Research
United States
North America 2026-07-18
Hays Electrical Services source 1,001โ€“5,000 Construction
United States
North America 2026-07-17
Golden Touch source 501โ€“1,000 Retail Apparel and Fashion
United States
North America 2026-07-17
FleetPride source 5,001โ€“10,000 Truck Transportation
United States
North America 2026-07-17
ERCO Worldwide source 501โ€“1,000 Chemical Manufacturing
Canada
North America 2026-07-17
Equinor source 10,001+ Oil and Gas
Norway
Europe 2026-07-17
Ecolab source 10,001+ Chemical Manufacturing
United States
North America 2026-07-17
BWXT source 5,001โ€“10,000 Defense and Space Manufacturing
United States
North America 2026-07-16
Zufall Health source 201โ€“500 Hospitals and Health Care
United States
North America 2026-07-15
WelbeHealth source 501โ€“1,000 Hospitals and Health Care
United States
North America 2026-07-15
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Software Development 107 (22%)
Financial Services 40 (8%)
IT Services and IT Consulting 21 (4%)
Hospitals and Health Care 20 (4%)
Insurance 13 (3%)

๐Ÿ“ Company Size Distribution

1,001-5,000 employees 130 (26%)
10,001+ employees 129 (26%)
501-1,000 employees 95 (19%)
201-500 employees 62 (13%)
5,001-10,000 employees 42 (8%)

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

Source: Analysis of Linkedin bios of 508 companies that use Sana AI

Company Characteristics
i
Trait
Likelihood
Funding Stage: Series D
425.8x
Funding Stage: Secondary market
385.7x
Funding Stage: Post IPO debt
310.6x
Company Size: 10,001+
88.2x
Company Size: 5,001-10,000
39.1x
Company Size: 1,001-5,000
28.4x
I analyzed these companies and found that Sana AI's typical customer operates in industries where knowledge work and human expertise are central to value creation. These aren't primarily manufacturing or logistics companies. They're financial services firms managing complex portfolios, healthcare organizations coordinating patient care, professional services firms delivering advisory work, technology companies building software platforms, and large retail operations managing distributed workforces. What unites them is that their core business depends on employees accessing, sharing, and applying specialized knowledge effectively.

The stage signals are clear. These are predominantly established enterprises, not early-stage startups. I see Fortune 500 companies, publicly traded firms with post-IPO funding rounds, and organizations with 5,000 to ,000+ employees. When smaller companies appear, they're typically well-funded growth-stage businesses at Series C or beyond. The employee counts, global office footprints, and references to serving millions of customers indicate operational maturity and scale.

๐Ÿ”ง What other technologies do Sana AI customers also use?

Source: Analysis of tech stacks from 508 companies that use Sana AI

Commonly Paired Technologies
i
Technology
Likelihood
3142.0x
2422.3x
2121.3x
1823.4x
825.3x
792.2x
I noticed something striking about companies using Sana AI: they're heavily invested in employee development and customer experience at scale. The combination of learning platforms like Mindtickle and Go1 alongside customer service tools like Decagon AI tells me these are growth-stage companies that need to rapidly upskill their teams while maintaining excellent customer interactions. They're not just hiring people, they're building systematic ways to make those people effective quickly.

The pairing of Sana AI with Mindtickle is particularly revealing. Mindtickle focuses on sales readiness and enablement, which means these companies are likely scaling their revenue teams fast and need AI-powered knowledge management to keep everyone aligned on messaging and product information. Similarly, Go1 provides enterprise learning content, suggesting these organizations see employee education as a competitive advantage. When you add Qualtrics for experience management, you see companies obsessed with measuring and improving both employee and customer satisfaction through data.

The presence of Watershed (climate analytics) and ZipHQ (spend management) reveals these are companies operating at significant scale with mature operational concerns. They're past the scrappy startup phase and into the phase where ESG reporting and financial operations matter. The full picture suggests sales-led organizations that are scaling rapidly and using technology to compress the typical learning curves that come with growth.

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