How DataOx Helps Data-Driven Startups Get Competitive Advantage in the Market

The paradox is that in this context, high-quality data acquisition and maintenance becomes a critical challenge for these startups themselves. Facing limited in-house resources, many of them turn to external providers with deep expertise in data delivery and integration. One company powering successful business intelligence platforms behind the scenes is DataOx.

A Reliable Partner for Data-Critical Businesses

DataOx has been providing managed web scraping services since 2015, acting as an external partner that helps businesses aggregate data from public sources and deliver, integrate, and maintain it at scale. The team is spread worldwide, with headquarters in Tallinn, Estonia.

While data extraction might look like a secondary task to outsiders, for business intelligence platforms and other data-driven companies, it's the core of their product. Success depends directly on the quality and timeliness of data delivery. So, DataOx operates in a professionalized market, supporting startups that need reliable, recurring data streams, handling the operational realities of running data pipelines at scale: compliance, uptime, data freshness, and format consistency that most in-house teams underestimate until they hit them.

Founding Team & Roles

The company was founded by Sergii Klius and Dmitriy Forys with a mission to give businesses comprehensive access to data, through services built for reliability and long-term growth.

"Even before the AI boom, data acquisition was a tricky issue for many businesses," says Sergii Klius. "Entrepreneurs would come to us knowing exactly what data they needed and where to find it. However, the fact that the data was publicly available didn't mean it could easily be transformed into a reliable data pipeline that integrated seamlessly with their core product. That's where our expertise made the difference."

Starting out as a startup itself, DataOx has grown into an established data delivery provider that today serves over 300 projects worldwide, with a significant share of clients working with the company on a regular basis for 5+ years.

"We really appreciate our clients' trust and work continuously to improve our services to meet their needs," says Dmitriy Forys. "This way, we expanded our web scraping services into a full range of data solutions, including data enrichment, integration, visualization, and custom software development. Now our clients don't have to look for several providers. They get everything they need from one team that already understands their data and their use case."

Business Impact

DataOx measures its own success through the success of the businesses it powers. The company works with a variety of industries. 

Legal tech. A legal tech startup relying on DataOx's data pipelines to power its core product was acquired by Thomson Reuters for $750 million. This case underscores how a clean, reliable data layer can become a company's most defensible asset.

HR tech. An AI-powered performance hiring platform in DataOx's portfolio has helped its own clients generate over $643 million in additional bottom-line revenue through better hires and reduced turnover. Behind its resume screening, candidate sourcing, and AI-driven scorecards sits the continuous, structured data infrastructure DataOx helps maintain.

Beyond the headline deals. Across its 300+ active projects, DataOx has supported real estate platforms tracking market data at scale, monitoring tools helping companies with brand protection, and dozens of early-stage startups that later raised follow-on funding on the strength of the data-driven products DataOx helped bring to life. 

The common thread: none of these companies set out to become data infrastructure experts. They needed a partner who already was one, so they could focus on the product decisions and DataOx made it possible.