Artificial Intelligence & Machine Learning,
Cloud Security,
Next-Generation Technologies & Secure Development
Zero Trust Network Access Firm Plans to Enhance Platform and Accelerate Revenue Growth

A vendor specializing in zero trust network access, with leadership rooted in extensive experience from Google, has secured $160 million in funding to refine its services for complex, multi-domain enterprise ecosystems. This capital is intended to transition Tailscale’s offerings from a solution designed for smaller teams to one suited for large corporations requiring comprehensive administrative domains.
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The Series C funding round reflects positive evaluations from investors, allowing Tailscale to effectively double its valuation from $780 million in May 2022 to $1.45 billion. CEO Avery Pennarun articulated that favorable terms and an appealing valuation were instrumental in this financing round, offering the company a more expedited path to increased revenue.
Since its inception in 2019, Tailscale has grown to a workforce of 177 and accumulated over $275 million in total funding, having previously completed a $100 million Series B round, led by CRV and Insight Partners. In leading the company, Pennarun draws from a robust background at Google, where he engaged in developing Wi-Fi technologies and services.
From Single Network to Multi-Instance Support
Accel, a prominent Series A investor, played a pivotal role in Tailscale’s funding, providing favorable conditions that minimize the need for a larger board. These monetary resources will enable Tailscale to enhance its capabilities concerning decentralized control within organizational networks, addressing the growing intricacies of customer environments.
Pennarun noted that maintaining profitability necessitates rigorous alignment of revenues with expenditures, emphasizing the need for strategic investment to outpace competitors. Tailscale’s forthcoming enhancements focus on improving network segmentation, performance, and flexibility, meeting the demands of more expansive and complex client bases.
The transition toward supporting multiple instances within large organizations reflects a recognition of the decentralized nature of major enterprises where distinct departments often operate independently. This architectural shift aims to strike a balance between organizational autonomy and connectivity across departments.
Unique Networking Challenges Facing AI Firms
AI companies are particularly susceptible to complex networking challenges due to their reliance on multiple cloud environments and the necessity for access to distributed GPU clusters along with sensitive on-premises data. Tailscale’s peer-to-peer model provides an effective solution in this multi-cloud context, allowing AI companies to concentrate on model training while outsourcing their networking needs.
As Tailscale seeks to bolster its operational efficiency while tracking key SaaS metrics such as revenue growth and gross margins, the company aims for increased revenue without a significant rise in headcount, emphasizing a commitment to capital efficiency. Tailscale’s competitive advantage lies in its efficient technology, which reduces operational costs through peer-to-peer connections while maintaining high product quality and offering free support to users.