How Web Intelligence is Powering the Next Wave of AI Infrastructure
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From Web to Artificial Intelligence: Building the Missing Links
April 25, 2026 - 10:54 am
For years, web intelligence has served as a cornerstone for significant data-driven advancements across various sectors. As big data continued to grow, meeting the infrastructure demands for sustained data flow became increasingly challenging. In recent times, AI has witnessed its most remarkable leaps forward. This evolution is intrinsically linked to the story of how the web intelligence industry adapted to support the escalating scale and complexity required by AI—and technology at large.
Infrastructure for Handling Everything All At Once
As AI companies entered 2025, they embarked on a race to develop multimodal tools capable of efficiently processing audio and video data. This ambition immediately placed immense pressure on data infrastructure. Video datasets are significantly larger than text, more intricate to process, and demand substantial resources for advanced model training.
We had foreseen that handling multimodal data would become a critical frontier in AI. Despite preparation, when the time came to harness this power, there were numerous hurdles to overcome.
For instance, creator consent has been a contentious issue in AI training, especially with complex content like professionally produced videos. Even with granted consent, transforming licensed videos into ethically sourced, AI-ready datasets requires significant effort and specialized infrastructure.
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Video Data API: Streamlining the Process
We developed the Video Data API to simplify this process. It handles video identification, extraction of public data and metadata, eliminating the need for teams to build and maintain custom scrapers. These solutions act as highways, enabling seamless movement of public and licensed data from the web to AI labs.
Addressing Scalability Challenges with High-Bandwidth Proxies
Moving large video files at scale presents a throughput challenge. High-Bandwidth Proxies overcome this with 200+ Gbps of dedicated bandwidth, optimized for efficient video downloads—a capability conventional infrastructure lacks.
Sustained Data Access: The Role of Headless Browsers
The AI agent conversation shifted in 2024 as professionals realized the crucial question was not what could be automated but whether reliable web access at scale was achievable. In most cases, the answer was no. Website complexity increases, making stable automated access harder to ensure, especially on JavaScript-heavy sites.
Headless browsers play a vital role here by adapting to dynamic website structures and performing a multitude of actions that are both simple and complex for machines.
Adapting to AI-Powered Online Search Engines
Starting mid-2024, traditional search result pages incorporated LLM-generated answers, AI summaries, and conversational interfaces. This evolution necessitates a new focus on tracking brand appearances in these AI responses, giving rise to Generative Engine Optimisation (GEO) as a distinct category.