What is Boost.space?

Boost.space is a unified data foundation for your business — built so AI agents can actually run on it. Most AI projects fail because the data behind them is broken. Boost.space fixes the data first: it connects the tools you already use, keeps your products, customers, orders, and campaigns in sync in both directions, and gives every AI agent one clean, structured place to read and act.

The idea in one picture

1. Connect your data — plug in your e-shop, CRM, ERP, suppliers, and ad platforms (2,600+ native integrations). Everything flows into one foundation, synced both ways.
2. Let agents work on it — deploy ready-made AI agents for product operations, connect your own over MCP, or build on the API and SDKs.
3. Results write back — agents make decisions on live data and write the results back into your systems.

These docs cover the foundation itself: modules, spaces, records, and typed fields — plus the automation, AI, MCP, and developer surfaces built on top.

Why the foundation matters for AI

The same qualities that make data usable by people make it usable by agents:

• Typed fields — a date is a date, a price is a price; agents read and write without guesswork. See Field types.
• Relational links — linked records connect products to suppliers, orders to customers — so agents can traverse context, not just rows.
• Deduplicated by design — the key field and source priority keep one clean record per real-world entity, no matter how many tools feed it.
• Permission-scoped — an agent over MCP sees and changes only what the connecting user can. No separate security model.

How it compares

• Unlike standalone AI tools, which are only as smart as the data you paste into them — Boost.space prepares the data first, so AI executes with full business context.
• Unlike a traditional PIM, it unifies products and customers, orders, and campaigns on one foundation.
• Unlike a CDP, it goes deep on product data — built for product-led businesses with complex catalogs across channels and markets.
• Integration platforms (Make, n8n, Zapier) sit on top of it: Boost.space is the data layer underneath — it completes them, not competes with them.

Who it's for

Built for retailers and brands selling across multiple channels and markets — pulling data in from suppliers, pushing it out to marketplaces, franchises, and partners — and for the operations and AI teams who need a governed, structured backend their agents can trust. Trusted by 15,000+ teams across 140 countries; security and compliance live at the Trust Center (GDPR, ISO 27001, SOC 2, HIPAA).

Where to go next

• Get working fast with the Quickstart.
• Learn the data model in Core concepts and the product guides.
• Connect an agent — Boost.space for AI agents.
• Build on the data with the API and SDKs.