The Path to Innovation: How We Built the AI-Powered OxyCopilot

Today, the world generates around 150 zettabytes of digital data per year, making it the most valuable 21st-century resource. Unfortunately, most of it is unstructured. The cost and complexity of building data scrapers and parsers have been stopping many businesses from using the competitive advantage of public web data. Until now.

74%

of businesses faced increased demand for web data in the last 12 months

50%

of developers identify parsing as one of the biggest web scraping challenges

95%

of businesses face negative effects in less than 24 hours if parsing is interrupted

75%

of developers spend from 10 to 40 hours weekly on parsing processes

*Censuswide and Oxylabs survey of 506 web scraping professionals in the UK and US, August, 2024

Disrupting the data collection industry with the help of AI

OxyCopilot is the culmination of long years of work we have done in data acquisition, AI, and machine learning (ML). The industry’s first AI-driven scraping assistant allows you to build scraping and parsing pipelines with minimal programming knowledge.

Next-gen solution for generating code in minutes
Based on natural language prompts and simple parsing templates
Backed by the expertise from NASA, Google, UCL, and MIT
Powered by 10Y of Oxylabs’ experience in ethical web data acquisition

AI is opening unprecedented opportunities for data analytics, at the same time becoming the major beneficiary of it. Oxylabs has emerged as the leader in democratizing this field, helping to bring data to the core of our digital economy.

Ali Chaudhry

Oxylabs’ AI/ML board member

The masterminds behind the OxyCopilot

To offer unrivaled innovations in web data collection, we gathered the brightest minds in the field of AI and ML. Our board of advisors brings expertise from the world’s leading science institutions and businesses, allowing Oxylabs to push the limits of data technologies.

Adi Andrei

25+ years of hands-on experience with AI & ML technology. Director at Technosophics, former senior data scientist at NASA, Unilever, and British Gas

Gautam Kedia

15+ years of experience in the production of ML systems. Applied ML Leader at Stripe. Former Applied Scientist Lead at Microsoft and Head of Applied ML at Lyft

Ali Chaudhry

Founder at ResearchPal and Generative AI and Reinforcement Learning Community in London. Former Artificial Intelligence consultant at UCL

Building industry’s first web scraping AI assistant: team story

In 2023, Fast Company listed Oxylabs as one of the best places for innovators to work in. Our drive for innovation attracts top professionals — OxyCopilot is a success story brought by a dedicated team of highly experienced developers, ML engineers, and data scientists.

2020

Oxylabs’ AI/ML board established

2021

Oxylabs introduced its first ML models

2022

The first ML model patented

2023

The AI-powered Web Unblocker launched

2023

The first AI solution patented

2023

ISO/IEC 27001:2017 certificate granted

2024

100th patent received

Julius Cerniauskas

CEO at Oxylabs

We aim to deliver the best web intelligence collection services in the market. Businesses need to save time and costs in an increasingly dynamic global race, and our mission is to give them the smoothest experience possible.

Martynas Juravicius

R&D team lead at Oxylabs

The idea behind OxyCopilot emerged a few years ago. However, the recent breakthrough in LLMs opened new opportunities for us to put these ideas into action. OxyCopilot has a level of semantic understanding that allows users to enter natural language prompts for identifying complex data patterns and generating parsing instructions in seconds.

Andrius Kuksta

ML engineer at Oxylabs

Developers can spend several days per week building and fixing parsers. OxyCopilot can help junior developers who lack skills as well as senior ones who simply need to optimize scraping and parsing processes.

We had to think out of the box

When we started building OxyCopilot, the primary challenge was to avoid calling LLMs for every parsing request. We devised an idea to leave LLMs with a function of semantic understanding while integrating simple parsing templates that can be filled in after the model recognizes the right Xpath.

We focused on the right people and priorities

Oxylabs has a large team of data scientists, ML engineers, and scraping experts with years of experience in ethical web data collection. For us, the R&D function isn't just "nice to have" — we prioritize it as vital for business growth.

We had to adopt a client-first mindset

Web data acquisition can be costly — it requires infrastructure, computing power, and a team of highly skilled scraping professionals who are hard to find. For this reason, many businesses worldwide miss the competitive advantage they could gain from publicly available web data. With OxyCopilot, a task that required a day to be completed can now be done in 5 minutes.

58% of developers

identify complex parsing patterns as a major challenge

Over 50%

of developers mention time as the main parsing-related business cost

1 in 5 businesses

face severe impact if data isn’t collected as scheduled

We help you save time you can reinvest your business growth

With OxyCopilot, you can save up to forty development hours per week that would otherwise be spent on writing codes for parsers. Forty hours your team can use to launch new business ideas or dig deeper into data-driven insights.