Data for AI is fueling massive growth at Bright Data

AI breakthroughs are no longer defined by model size or compute power alone, they’re defined by the quality, timeliness, and relevance of the data that powers them. Every new generation of artificial intelligence, from large language models to autonomous agents, depends on a continuous connection to the living web.

Static datasets once the foundation of machine learning are now stale by the time they’re processed. In a world where information decays within hours, fresh data has become the oxygen of AI innovation. Real‑time information allows AI to perceive change, adapt to context, and deliver outputs grounded in the world as it is, not as it once was.

This transformation has reshaped how we think about infrastructure. The next wave of AI isn’t just about smarter models, it’s about smarter data. Live web data feeds, continuous indexing, and agentic data pipelines are becoming the foundation upon which modern intelligence runs. Without them, even the most advanced systems risk becoming disconnected from reality.

Now businesses are rushing to build their proprietary knowledge bases to train models and enable agentic retrieval, as the entire industry has realized that differentiated intelligence comes not just from better algorithms, but from access to richer, more relevant, and constantly updated information. 

At Bright Data, we’ve had a front‑row seat to this transformation. Our company is highly profitable with annualized revenue exceeding $300 million. We are growing by more than 50% year-over-year and we are on track for $400 million in revenue mid 2026. This growth mirrors the surging demand we’re seeing for real‑time, ethical data collection, the kind of infrastructure that keeps AI systems in sync with the ever‑changing web.

Today, Bright Data supports 14 of the top 20 global LLM labs and 7 of the top 10 AI‑first companies, providing the data backbone for more than 100 million AI agent interactions daily. From training and fine‑tuning to continuous inference and real‑time decision‑making, our platform enables AI systems to see, understand, and act on the open web responsibly.

As AI expands from static to dynamic, from training to reasoning the need for access to real‑time data will only intensify. Our mission has always been simple but ambitious: to keep public web data accessible, transparent, and ethically collected, powering innovation, competition, and understanding in the age of AI.

Bright Data now operates the third‑largest repository of cached web pages (behind the Internet Archive and Google) and stands as the second‑largest web data company globally (behind Google). These milestones are a reflection of how essential timely, relevant, and trustworthy data has become to the future of intelligence.

Feeding AI with live, high‑integrity data is how we turn static models into dynamic, decision‑making systems – AI that thinks, moves, and evolves in rhythm with the real world.