We detected 87 customers using Tines. The most common industry is Software Development (29%) and the most common company size is 1,001-5,000 employees (40%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Tines
Tines provides a workflow and AI orchestration platform for security and IT teams to connect tools, automate repetitive tasks, deploy intelligent agents, and reduce tech debt through mission-critical automated workflows that run securely at scale.
🔧 What other technologies do Tines customers also use?
Source: Analysis of tech stacks from 87 companies that use Tines
Commonly Paired Technologies
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Shows how much more likely Tines customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using Tines are deeply invested in operational automation and security workflows, particularly around identity, access, and compliance. The presence of tools like Veza, Atlan, and DX tells me these are companies dealing with complex data environments and stringent security requirements. They're likely in regulated industries or high-growth tech companies where manual processes create bottlenecks and risk.
The pairing of Tines with Veza makes immediate sense because Veza handles identity security and access governance while Tines automates the remediation workflows. When Veza flags an access issue, Tines can automatically trigger deprovisioning or approval workflows. Similarly, Atlan's data catalog capabilities combined with Tines suggest these companies are automating data governance processes at scale. The presence of Decagon AI is particularly interesting because it indicates these teams are also automating customer support operations, suggesting a broader operations automation strategy beyond just security.
My analysis shows these are likely Series B to growth stage companies with mature security and operations teams. The tech stack reveals a product-led operational philosophy where they're investing heavily in tools that reduce manual work and scale processes without adding headcount. They're not using Tines for simple integrations but rather for orchestrating complex, multi-step workflows across security, data, and support functions. The presence of ZipHQ, which handles procurement workflows, reinforces that these companies think systematically about automation across departments.
👥 What types of companies is most likely to use Tines?
Source: Analysis of Linkedin bios of 87 companies that use Tines
I noticed that Tines customers are predominantly companies that handle sensitive data at scale and face serious consequences if systems fail. These aren't just tech companies. They include financial services firms managing billions in transactions (PayPal, Affirm, Vanguard), insurance companies protecting policyholders (Farmers, Centene, Coalition), retailers running complex supply chains (lululemon, Circle K, Booking.com), and infrastructure providers where downtime means real-world impact (Zayo, Octopus Energy, American Express GBT). What unites them is operational complexity and regulatory scrutiny.
These are established, resource-rich organizations. The employee counts skew heavily toward mid-market and enterprise, with most companies employing between 1,000 and 10,000+ people. Many are post-IPO (Okta, Snowflake, PayPal, Spotify) or backed by substantial private equity funding. Even the smaller companies in this list, like StrongDM or OnSecurity, are well-funded growth-stage firms with serious institutional backing. These aren't scrappy startups experimenting with security automation. They're companies with existing security teams and mature operations.
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