Alkira recently announced the closing of a $100 million Series C funding round, bringing the company’s total funding raised to date to $176 million. The round was led by Tiger Global Management, a global investment firm, with additional investment from Dallas Venture Capital, Geodesic Capital and NextEquity Partners; and participation from existing investors, including, Kleiner Perkins, Koch Disruptive Technologies and Sequoia Capital.

“The explosive growth of cloud applications and A.I. workloads are fueling a surge in demand for agile, secure, scalable cost-efficient networking solutions,” said Amir Khan, CEO at Alkira. “We’re fortunate to have strong partners to help us meet that demand while we accelerate growth, explore exciting new opportunities, and continue delivering exceptional value to our customers. Our talented team is the engine behind Alkira’s success, and we’re deeply grateful for their hard work and dedication in getting us to this point.”

Alkira provides a unique value proposition by offering:

• On-demand network infrastructure as-a-service with integrated security and networking services available globally
• The ability to securely connect any cloud, any on-prem location, any remote user or app to any other point of presence
• Agility, elasticity, intelligence, security, and scale for traditional networking use cases
• A platform to build global, secure networks in minutes, eliminating the need to acquire hardware, manage physical circuits, and run software appliances or agents on-site

The substantial Series C investment will fuel Alkira’s efforts to accelerate innovation and revolutionize how networks are consumed by enterprises, including by:

• Expanding its best-in-class multi-cloud networking solution portfolio;
  Delivering new connectivity models for the global Wide Area Network (WAN) network;
• Further simplifying how customers connect to their business partners;
  Increasingly allow customers to stop looking at networking and security in isolation and instead providing them an end-to-end secure network;
• Readying the network for increased A.I. workloads and leveraging A.I. for efficient networking (Networking for A.I. and A.I. for networking).