> ## Documentation Index > Fetch the complete documentation index at: https://docs.brightdata.com/llms.txt > Use this file to discover all available pages before exploring further. # Bright Data Managed Services overview > Use Bright Data Managed Services to have a dedicated team build, run and monitor your web data pipeline on 400M+ IPs, with 24/7 monitoring under an SLA. Bright Data Managed Services is a fully managed web data collection service: a dedicated Bright Data team runs the whole data pipeline for you, from source discovery to delivery, under a defined SLA with 24/7 proactive monitoring. Managed Services is also called Managed Data Acquisition. You define the data you need, and the Managed Services team handles source scoping, collector development, anti-bot management, quality validation, enrichment and delivery. Managed Services suits teams that want to focus on their own product without building and maintaining a data collection operation. ## What does Bright Data manage in Managed Services? Bright Data scopes every Managed Services engagement as a dedicated project and assembles a team to match it. Most engagements include the following services, and an engagement is not limited to them: * **Source scoping and discovery.** Bright Data experts identify, evaluate and prioritize public web sources across domains, regions and languages. If you have a source list, the team builds from it directly. If you do not, source discovery is included. * **Custom collector development.** Collectors are built for your sources, fields, schemas and collection logic, with no constraints from a pre-existing catalog. * **Anti-bot and traffic management.** Bright Data manages proxy rotation, CAPTCHA solving, session logic, browser fingerprints and request cadence on a network of 400M+ IPs. * **Data validation and quality control.** Every delivery passes automated completeness checks, deduplication, cross-referencing and content fingerprinting, which detects and discards block pages before delivery. * **Data enrichment and transformation.** Data can be cleaned, normalized, categorized, tagged, translated, summarized or enriched before delivery. * **24/7 proactive monitoring.** The Managed Services team monitors pipelines continuously and in most cases resolves issues before the next scheduled delivery. * **Delivery to your stack.** Data arrives in JSON, NDJSON, CSV, Excel, Parquet or a custom format, at the destination you choose: API, Amazon S3, Google Cloud Storage, Azure, Snowflake, Databricks, SFTP, webhook or a direct database integration. ## What data can Managed Services collect? Managed Services can collect any publicly available web data. Examples from active engagements: * **AI and machine learning training data.** HTML pages, images, video, audio, PDFs and structured text from public web sources, with compliance screening at the domain, page and asset level, deduplication, PII flagging and quality validation. * **E-commerce and retail.** Product pages, pricing, availability, reviews, star ratings, variants, images and seller data across hundreds of domains, with custom product and review schemas. * **Competitive and brand intelligence.** Competitor pricing and assortment in luxury, fashion, CPG and marketplace categories, across markets and currencies, delivered as daily or weekly snapshots. * **Travel and hospitality.** Pricing, availability and competitor data from online travel agencies, airlines and hotel platforms. * **Financial and alternative data.** Public signals from company pages, job listings, executive changes, filings and market data sources, delivered on a recurring schedule. * **Business information and lead enrichment.** Company profiles, firmographics, contact information, hiring signals and technographics, delivered on a recurring schedule to keep CRMs and sales pipelines current. * **Market intelligence.** Signals from media, social, review and content platforms, enriched and categorized for dashboards or models. ## When should you choose Managed Services? Choose Managed Services over the self-serve products when one or more of these apply: * Your team needs production data without building or operating the collection layer. * You need custom sources, custom schemas or delivery configurations that the self-serve catalog does not offer. * You need an SLA, a named owner and clear accountability, not only a tool and a support queue. * Compliance and legal review are part of your buying process (GDPR, CCPA, SOC 2, ISO 27001). See [Bright Data security and compliance](https://docs.brightdata.com/general/security/security-overview.md). * Your internal scraping setup has become a maintenance bottleneck that pulls engineers away from core work. * You need data from a large number of sources or from complex, bot-protected targets that need dedicated infrastructure. * You want a hybrid setup: [Scraper API](https://docs.brightdata.com/products/scrapers/overview.md), [Scraper Studio](https://docs.brightdata.com/products/scraper-studio/overview.md) or your own scrapers for the sources you can cover, and Managed Services for the sources, markets or use cases that need more dedicated resources. ## How do you get started with Managed Services? Managed Services is not self-serve. A Bright Data data expert scopes the project with you before any collection begins. To see the stages of an engagement, read [How Bright Data Managed Services works](https://docs.brightdata.com/products/managed-services/how-it-works.md). > [card] [Talk to a data expert](https://brightdata.com/products/managed-service) > > Contact Bright Data to scope a Managed Services project.