Our privacy practices comply with data protection laws, including the EU data protection regulatory framework, GDPR, and the California Consumer Privacy Act of 2018 (CCPA) – respecting requests to exercise privacy rights and more.
Your trusted partner for high-quality AI grounding data
Gain a competitive edge using high-quality, reliable web data tailored for AI engineers, ML teams, enterprise developers, and LLM builders.
- Full data coverage
- Personalized data feed
- Integrated API delivery
- 100% compliant data
AI & ML Engineering Teams
Ground your models in real-time web data
Feed your RAG pipelines, vector databases, and LLM grounding layers with fresh, structured web data collected at scale from any source on the open web.
Enterprise AI Developers
Build AI products that stay current and accurate
Power knowledge bases, fact-checking systems, and AI assistants with continuously refreshed web data to reduce hallucinations and keep enterprise AI outputs reliable.
Trusted by 20,000+ customers worldwide
AI grounding popular use cases
Real-Time Web Grounding for LLMs
Connect your LLM to the live web so it always responds with current, accurate information. Use Bright Data's infrastructure to retrieve fresh web content at query time, grounding model outputs in real-world data rather than stale training snapshots.
Fact-Checking and Hallucination Reduction
Verify AI-generated claims against live web sources before surfacing outputs to users. Build fact-checking layers that retrieve structured, up-to-date web data to cross-reference model responses and significantly reduce hallucination rates.
Knowledge Base Construction
Build and continuously update enterprise knowledge bases with structured content scraped from the open web. Aggregate documentation, news, regulatory filings, and domain-specific sources into a searchable, AI-ready corpus your teams can rely on.
Vector DB Hydration with Live Web Data
Keep your vector database fresh by continuously ingesting new web content, structured and cleaned for embedding. Ensure your retrieval layer always surfaces the most relevant and recent information when your AI application queries it.
RAG Pipeline Data Feeds
Supply your retrieval-augmented generation pipelines with a continuous stream of high-quality, structured web data. Bright Data's APIs and MCP server integrate directly into RAG architectures to deliver the right context at the right time.
Web Data Enrichment for AI Training
Continuously enrich your AI training datasets with fresh, diverse, and structured web content. Improve model accuracy, domain coverage, and generalization by feeding training pipelines with regularly refreshed data sourced from across the open web.
Ready to connect your AI to the live web? Explore our MCP server for AI grounding
Industry Leading Compliance
Why 20,000+ Customers Choose Bright Data
100% Compliant
All data collected and provided to customers are ethically obtained and compliant with all applicable laws.
24/7 Global Support
A dedicated team of customer service professionals is available to assist you at any time.
Complete Data Coverage
Our customers can access over 400M+ monthly IP addresses worldwide to collect AI grounding data from any site or platform on the open web.
Unmatched Data Quality
With our advanced technology and quality assurance processes, we ensure accurate, structured, and high-quality data ready for AI ingestion.
Powerful Infrastructure
Our proxy-unblocking infrastructure makes it easy to collect large-scale web data for LLM grounding, RAG pipelines, and knowledge base construction without getting blocked.
Custom Solutions
We provide tailored web data solutions to meet each team's unique AI grounding, retrieval, and enrichment requirements.
Frequently Asked Questions
Is using publicly available web data for AI grounding allowed?
Yes. Accessing publicly available information via automated means is considered permissible under applicable regulatory and legal frameworks. Bright Data's services emulate the behavior of an individual end user, and there is nothing done through our services that cannot be done manually with a web browser. This makes it a legitimate and widely adopted practice for powering AI grounding and retrieval pipelines at scale.
Read more: Code of Ethics and Conduct
How does Bright Data ensure compliance when collecting web data for AI?
Bright Data collects only publicly available data, meaning information that does not require a login or sign-in to access. We ensure our privacy practices comply with data protection laws including GDPR and CCPA, and we continuously monitor legal developments to help customers use our services compliantly.
Bright Data has designed a detailed Privacy Policy to provide all required information about its privacy practices.
What sources can be used for AI grounding data?
AI grounding data can be collected from virtually any public web source including news outlets, documentation sites, regulatory databases, eCommerce platforms, forums, social media, and search engine results. Bright Data's SERP API, Discover API, Web Unlocker, and Web Archive all support large-scale retrieval across these sources.
How does Bright Data integrate with RAG pipelines and vector databases?
Bright Data provides APIs and an MCP server that integrate directly into RAG architectures and vector database hydration workflows. Structured web data can be retrieved on demand or on a scheduled basis and piped into your embedding and retrieval layers with minimal engineering overhead.
What security measures does Bright Data have in place to protect customer data?
Bright Data manages data for over 15,000 organizations around the world. Our security model and controls are based on international standards including ISO 27001, ISO 27018, CSA Star level I, and OWASP Top 10, as well as best practices for data encryption, infrastructure security, and external security audits.
How fresh is the web data retrieved for AI grounding?
Data freshness depends on your use case and retrieval method. Real-time grounding queries retrieve live web content at the moment of the request. For scheduled pipeline feeds, refresh frequency can be configured from near real-time to daily or weekly depending on your needs.
Can I get a sample to test the data with my AI system?
Yes, we can provide samples for testing; please contact our sales representatives.
Can Bright Data combine data from multiple sources for AI grounding?
Yes. We can combine data from multiple web sources into a unified feed, for example merging search results, news content, and domain-specific documentation into a single structured pipeline. Please contact our data experts to discuss your specific requirements.
Do you provide historical web data for AI training and enrichment?
Yes. Through our Web Archive and dataset products, we provide historical web data going back up to 1 year for most sources, enabling longitudinal training dataset construction and model enrichment over time.