Warburg Pincus backs Oxylabs in USD $130 million deal

Warburg Pincus has invested USD $130 million in Oxylabs, valuing the web data infrastructure company at USD $3.6 billion.

The valuation puts Oxylabs at the top end of the web data infrastructure market, the company said, as investors look beyond headline artificial intelligence developers to the systems that help AI tools gather information from the open web.

Oxylabs said the investment reflects growing interest in what it called the AI web access layer, a part of the technology stack that enables automated systems and AI agents to gather data and carry out tasks online. It said the market is drawing more attention as AI groups move closer to public listings and investors assess the wider ecosystem around them.

Vytautas Savickas, Chief Executive Officer of Oxylabs, linked that shift to the rise of AI agents and their need for large-scale web access.

"As AI agents begin to navigate the web far more than humans ever have, the future belongs to the data infrastructure that grounds these systems in real-time, reliable flow of knowledge. This is exactly what Oxylabs has spent the last decade building," Savickas said.

Oxylabs argues that web data access is becoming increasingly important as AI systems move from generating responses to performing actions on users' behalf. That shift could increase demand for tools that collect public web data, manage browsing sessions, and feed current information into AI models.

Savickas said recent moves by large AI companies have also made the supporting market more visible to private investors.

"The whole AI industry steps into its new stage as Anthropic and OpenAI announce IPO filings. As these companies approach public markets, it makes sense for private investors to look at the support system without which AI could not function the way we want it to. Web data access at scale, for example, is necessary if we want AI agents to complete tasks online," he said.

Compliance focus

Alongside the funding announcement, Oxylabs said the market is consolidating around companies with stronger compliance procedures. It said investor scrutiny is increasing and that businesses in the sector now need to show not only technical progress but also tighter controls around know-your-customer processes and data practices.

That matters in a sector that has long faced questions about the line between collecting public web data and breaching platform rules or privacy expectations. Companies involved in web scraping and related tools have often had to defend their methods, particularly as regulators and website operators have paid closer attention to automated access.

Oxylabs said the market's more reputable segment is becoming clearer as weaker operators fall away.

"At this time, especially as we are receiving validation by private equity firms, it is becoming clear that the winning strategy in our industry is combining innovation with compliance. Now, as those who did not invest enough in compliance or KYC fall, the ones that are left will have extensive patent portfolios, and robust practices and procedures in place. In other words, AI web data access will be provided by fewer companies, but it will be those that survived the toughest scrutiny and spent years building actual proprietary knowledge," Savickas said.

Warburg Pincus is a long-established private equity investor with more than USD $105 billion in assets under management and more than 225 active portfolio companies. Its backing of Oxylabs suggests that specialist infrastructure businesses tied to AI demand are attracting capital even when they operate outside the better-known chipmaking and model-building segments of the market.

Founded in 2015, Oxylabs describes itself as a web data ecosystem. It provides access to ethically sourced public web data and tools used by businesses in areas such as AI, eCommerce, and digital intelligence. It has also expanded through acquisitions, including the purchase of ScrapingBee.

Product direction

Oxylabs has also outlined plans to broaden its product range as search and online automation shift toward more agent-led models. Among the areas it highlighted were web index and headless browser tools, both commonly used to retrieve and interact with online content programmatically.

Savickas said static stores of online information will not be enough for the next phase of AI applications.

"As the market shifts toward agentic search, we are further developing our product portfolio, including web index, headless browser, and other cutting-edge solutions. The next generation of AI won't be powered by static indexes that only capture yesterday's internet. For it to work at enterprise grade, the infrastructure behind them is key: the scale, speed, reliability, and compliance required to make open-web knowledge usable in real-time production," he said.