Companies that use Knock AI

Source: Analysis of tech stacks from 35 companies that use Knock AI

I noticed that Knock AI users are typically B2B SaaS companies with sophisticated, operationally-minded teams. The presence of tools like Rocketlane (for client onboarding) and Swan (banking-as-a-service) suggests these are companies either selling to other businesses or embedding complex services into their products. They're building serious infrastructure, not running simple marketing sites.

The pairing of Factors.ai with Knock AI is particularly revealing. Factors.ai provides account-based analytics, which means these companies are tracking how entire organizations interact with their product, not just individual users. When combined with Knock AI's notification infrastructure, this suggests they're sending targeted, contextual messages based on account-level behavior. Similarly, Rocketlane's appearance tells me onboarding is critical to their business model. These companies need to communicate effectively during implementation, which makes sense if they're selling complex products with longer sales cycles. The Golinks presence reinforces this, as internal link management becomes important when teams need to coordinate across multiple tools and documentation.

The full stack reveals product-led growth companies that have matured past the earliest stages. They're investing in customer success infrastructure (Rocketlane), protecting their ad spend (ClickCease), and implementing enterprise security (OneLogin). They're not purely sales-led because they're focused on product notifications and user engagement. They're not purely marketing-led because of the heavy emphasis on post-sale experience. Instead, they're in that crucial scale-up phase where product adoption drives revenue, but they need operational excellence to retain and expand accounts.

Source: Analysis of Linkedin bios of 35 companies that use Knock AI

I noticed that Knock AI's customers are predominantly B2B software companies building technical infrastructure and security products. These aren't consumer apps or traditional SaaS tools. They're creating cloud security platforms, developer tools, data infrastructure, AI platforms, and compliance systems. Many position themselves as solving complex technical problems for other businesses: cloud cost optimization, application security, data pipelines, and developer experience platforms.

These are firmly growth-stage companies. The majority have 50-200 employees and have raised Series A or B funding, typically between $10M and $50M. A few are earlier (seed stage with 20-40 people) and a handful are more mature (200-500 employees, Series C), but the center of gravity is clear: they're past the scrappy startup phase but not yet enterprise-scale. They have product-market fit and are scaling their go-to-market operations, which is exactly when companies invest in professional notification infrastructure.