Lithuania’s Oxylabs raises $130M from Warburg Pincus at a $3.6bn valuation
Oxylabs, a Lithuanian web-data company, has secured $130M in funding from Warburg Pincus, valuing the firm at an impressive $3.6 billion. This marks Oxylabs’ first external investment since its launch in 2015.
July 9, 2026
(Image: Oxylabs)
Oxylabs announced today a funding round led by Warburg Pincus. The company boasts an impressive $350 million in annual recurring revenue and over 350,000 customers, establishing it as Lithuania’s second unicorn startup.
Selling Shovels for the Agentic Web
Oxylabs specializes in providing infrastructure for collecting public web data at scale. Initially offering premium proxy services to route requests and gather data, they have since evolved into a full-fledged web-data platform with over 160 patents and processing billions of requests daily.
The Pitch: AI’s Need for Live Data
The company’s CEO, Vytautas Savickas, argues that the next generation of AI agents will require live web feeds rather than static indexes. This aligns with Oxylabs’ decade-long focus on building infrastructure to support this market need.
Warburg Pincus Expands Its Lithuanian Footprint
This investment is not Warburg Pincus’s first in Vilnius. They also back Nord Security, another Tesonet unicorn, solidifying their presence in Lithuania’s thriving data industry.
A Flag for European Tech
Savickas sees this funding as evidence that Europe can develop world-class technology essential to AI development.
Navigating Legal and Ethical Waters
The web-data business faces legal challenges regarding large-scale scraping and proxy network sourcing. Oxylabs distinguishes itself through strong compliance, co-founding an ethical web-data initiative, and maintaining a transparent trust center.
Future Growth and Acquisitions
The newly secured funding will enable Oxylabs to expand its acquisition and partnership efforts, building upon previous acquisitions of Webshare in 2022 and ScrapingBee in 2025. Goldman Sachs advised on the investment.
Why It Matters
This funding round highlights where investors perceive AI value to be concentrated—not just in models but in the infrastructure that supports them.