Companies that use Panther

Source: Analysis of tech stacks from 88 companies that use Panther

I noticed that companies using Panther are data-intensive organizations with sophisticated security and compliance requirements. The presence of tools like DBT Enterprise, Monte Carlo Data, and Conveyor tells me these are companies building serious data infrastructure where data quality, observability, and governance are critical. They're likely operating in regulated industries or handling sensitive customer data at scale.

The pairing of Panther with Teleport is particularly revealing. Teleport provides secure access to infrastructure, while Panther handles security monitoring and detection. Together, they suggest companies that have moved beyond basic security tools and need programmatic, code-driven approaches to both access control and threat detection. The appearance of Monte Carlo Data alongside Panther also makes sense. If you're monitoring your data pipelines for quality issues, you're probably also monitoring those same systems for security threats. These companies view data operations and security operations as interconnected disciplines. The strong correlation with DBT Enterprise reinforces this, since DBT users are typically running complex data transformations that need both quality checks and security oversight.

The full stack reveals companies in a rapid growth phase that have graduated from simple SaaS tools to more specialized, often developer-focused platforms. The presence of Glean, an enterprise search tool, suggests these organizations have reached a size where knowledge management becomes a real problem. These aren't early-stage startups still figuring out product-market fit. They're scaling companies with dedicated data teams, security teams, and likely 200-plus employees who need to collaborate across complex technical systems.

Source: Analysis of Linkedin bios of 88 companies that use Panther

I noticed that Panther's customers are predominantly technology-forward companies building digital platforms and infrastructure that handle sensitive data at scale. These aren't traditional enterprises. They're companies creating fintech products (Gusto, Mercury, Guideline), developer tools and cloud infrastructure (Cockroach Labs, Wasabi, Yugabyte), cybersecurity solutions (Snyk, Axonius, GitGuardian), and consumer applications with millions of users (Discord, Lyft, Grindr). Many are building marketplaces, SaaS platforms, or data-intensive products where security isn't just important, it's foundational to their business model.

These are primarily high-growth, venture-backed companies in the Series B to Series E range, though the mix includes some public companies and later-stage private firms. The typical profile shows 200 to 2,000 employees with substantial funding rounds of $50M to $200M. They're past the early experimental phase but still scaling rapidly. Many mention serving thousands of enterprise customers or millions of end users, signaling they've achieved product-market fit and are now focused on scale and operational maturity.