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Hyperscale AI & ML Data Infrastructure

Fuel your LLM training and RAG architectures with massive-scale, high-fidelity public web data.

The Data Backbone Powering Next-Generation AI Systems

90M+Residential IPs
195+Countries & Regions
99.9%Request Success Rate
99.99%Network Uptime SLA

Built for Your Use Case

Every feature is engineered around the specific demands of your workflow.

Production-Grade Scale

Access millions of concurrent connections to scrape data at hyperscale.

Data Diversity

Gather localized training data from 195+ countries for better model generalization.

Web MCP Ready

Seamlessly integrate with Model Context Protocol agents for real-time web awareness.

How It Works

From Raw Web to Clean Training Data

1

Define Your Data Sources

Specify the websites, APIs, or domains to crawl — from niche forums to broad web corpora for foundation model training.

2

Scale Concurrent Connections

Deploy millions of simultaneous residential connections for true hyperscale crawling without rate limits or detection.

3

Export Structured, Clean Data

Receive deduplicated, high-quality output ready for LLM fine-tuning, RAG pipelines, or real-time agentic workflows.

AI & Data Teams Use BytesFlows For...

LLM Pre-Training Corpora

Crawl millions of diverse web pages to build rich, multilingual text datasets for foundation model pre-training.

RAG Knowledge Base Refresh

Continuously update your retrieval-augmented generation database with the latest live web content automatically.

Agentic Web Browsing

Power MCP-compatible agents and AI assistants that browse the live internet without triggering anti-bot systems.

Engineered for Performance

Join thousands of professional data teams who trust BytesFlows for their mission-critical proxy infrastructure. Our network is designed to be unblockable and ultra-fast.

99.9% Success Rate
Unlimited Concurrency
Global Targeting
24/7 Support
Hyperscale AI & ML Data Infrastructure
Get Started Today

Feed Your Models the Best Data on the Web

AI teams at leading labs and startups use BytesFlows to collect the diverse, high-quality web data their models need.