Oxylabs, a Lithuania-based company specializing in web data infrastructure, has secured $130 million in funding from the private investment firm Warburg Pincus. This investment values the company at $3.6 billion and represents its first external capital since its founding in 2015.
The funds were received through the Warburg Pincus Capital Solutions Founders Fund. With this influx of capital, the company plans to accelerate its product roadmap, strengthen its technology stack, and continue making strategic acquisitions.
Oxylabs provides web data infrastructure that enables enterprises to obtain publicly available data from the internet in large volumes. The company's technologies, which are a provider of web analytics infrastructure, support the development of artificial intelligence due to their real-time capabilities. The system provides up-to-date information for large language models, autonomous AI agents, and augmented search generation applications, processing billions of web requests daily and holding over 160 patents on its technologies.
Oxylabs' infrastructure is utilized by entities such as e-commerce firms, the cybersecurity sector, and market research agencies. These clients use it to gather competitor pricing information, analyze consumer purchasing behavior, track cybersecurity threats, and identify fraudulent practices. Uitautas Savikas, CEO of Oxylabs, noted that the future of AI will rely on real-time internet information rather than static datasets, and stated that the company has prepared itself to serve this emerging market for many years.
The investment comes amid growing demand for AI data infrastructure, allowing Oxylabs to enhance its competitive offering. In addition to product improvements, the company intends to complete further acquisitions and establish strategic partnerships. Previously, Oxylabs expanded through two additions: Webshare in 2022 and ScrapingBee in 2025. The new agreement will fuel these initiatives and help deepen the company's technological capabilities.
Warburg Pincus emphasized that Oxylabs has become a significant player in the web analytics field, noting that this investment reflects growing confidence in European technology companies building the foundation for the global AI revolution. This move strengthens Warburg Pincus' involvement in Lithuania's tech sector, where the firm also holds investments in Nord Security, another well-known technology company founded in the Tesonet accelerator.
As web scraping grows alongside AI development, the industry faces increasing regulatory scrutiny. Issues concerning ethical data collection and residential proxy networks prompt providers to pay more attention to transparency and regulatory compliance. Oxylabs asserts that responsible data collection remains central to its business strategy. The company has contributed to the creation of an ethical web data collection initiative and implemented compliance audits through its trust center to increase client confidence. Oxylabs believes that the need for real-time internet data will grow as AI agents are more widely adopted across various industries, and the company aims to be a critical technology provider for the next generation of artificial intelligence applications.
Yotta Data Services, a company specializing in artificial intelligence infrastructure and data centers, announced the raising of approximately $150 million from non-institutional investors. The company's valuation was set at approximately 37,000 crore rupees.
The raised capital is intended to strengthen the company's financial position through growth and to support the next stage of expansion. The company emphasized that all attracted funds will be directed towards accelerating growth, and there was no Offer for Sale (OFS) from shareholders in this round.
Yotta continues to assess interest from long-term institutional investors while maintaining its course toward its pre- and post-IPO plan, although the timeline for this has not been disclosed. Previously, there were reports that the company was raising funds through global funds or via listing.
The company stated that its current valuation is based on fundamental business metrics, revenue from long-term contracts, and execution visibility. Yotta expects this valuation to increase as its AI infrastructure capacity grows and new client agreements are signed.
Operationally, Yotta plans to increase its AI cloud platform to over 40,000 Nvidia Blackwell GPUs within the next four months, and to approximately 85,000 GPUs by the end of the current fiscal year. This will enable it to become one of the largest AI computing platforms outside the US and China.
The company continues to support sovereign cloud and AI initiatives in India while scaling up services for global AI model developers and inference providers. Yotta's long-term goal is to help India become a producer of AI infrastructure and intelligence, rather than just a consumer.
LinqAlpha has successfully raised $22 million in a Series A funding round. These funds are earmarked to accelerate the growth of its artificial intelligence platform designed for institutional investors.
The round was supported by investors such as AVP, Atinum Investment, and GFT Ventures. Additionally, several strategic financial institutions and venture platforms from Europe, Asia, and the United States participated. The New York-based company develops what it calls the Alpha Intelligence Layer for global public markets.
The platform assists investment specialists in processing complex market information using specialized AI agents. With this new funding, LinqAlpha's total raised capital has increased to approximately $28.6 million.
LinqAlpha was founded in 2022 by Jacob Choi, Subin Pang, Jin Kim, and Hodjun Choi. The founding team combines financial expertise with research in artificial intelligence. Among the founders are former Goldman Sachs analysts and MIT computer science graduates.
As public markets become increasingly interconnected, investors are forced to simultaneously track earnings reports, policy changes, supply chain events, credit markets, and social media signals. LinqAlpha believes that traditional analysis methods cannot keep up with such a growing volume of data. The platform allows investment teams to use AI agents trained on their own research history instead of relying on general language models. These agents then link new market events to previous investment ideas to generate relevant insights. One of the founders noted that the competitive advantage lies in identifying market-influencing signals even before they become widely known.
Currently, the platform is used by over 70 financial institutions. Clients include research, trading, and sales teams at major investment banks. On the buying side, clients include Causeway Capital Management LLC and Schonfeld Strategic Advisors LLC. The company initially started in Cambridge, Massachusetts, and later operated between South Korea and the United States before establishing its headquarters in New York. During this period, the business also underwent two rebrandings before adopting the name LinqAlpha.
The new funding will allow the company to expand its international staff. Management also plans to strengthen integration with market and alternative datasets. Additional investments will be directed towards implementing equity, macroeconomics, credit, and multi-asset investment strategies.
LinqAlpha is entering the competitive market of AI research platforms. Demand continues to grow as investment firms seek faster analysis without compromising their proprietary insights. According to Manish Agarwal, General Partner at AVP, many AI products focus on automating routine tasks or accelerating information retrieval. He believes that LinqAlpha helps investors find differentiated investment ideas through context-aware intelligence.
Competition remains significant, as large AI service providers have attracted significantly more funding in recent years. Nevertheless, LinqAlpha asserts that its specialized approach better meets the needs of institutional investors who seek bespoke analysis rather than standard AI outputs. Industry forecasts also point to continued expansion in financial AI, with growing adoption among banks, insurance companies, and asset managers expected to attract further investment in companies developing specialized corporate AI platforms. LinqAlpha's long-term success will likely depend on demonstrating measurable value to institutional clients operating in increasingly complex global markets.
