Boost.space

Boost.space is a unified data foundation and AI-ready database built for retailers, brands, and automation teams that need one reliable source of truth across scattered tools. Instead of treating spreadsheets, CRMs, e-commerce platforms, and supplier feeds as separate silos, the platform centralizes product, customer, order, and campaign data so downstream automations and AI agents can act on consistent records. It is positioned as the data layer underneath tools like Make.com, n8n, and Zapier, with native support for deploying operational AI agents on top of live business data.

Key Features

• Single source of truth database: Centralizes records from e-shops, CRMs, ERPs, suppliers, distributors, and ad platforms with two-way synchronization so automations read and write consistent data instead of duplicating fields across apps.
• Ready-to-deploy AI agents: Offers operational agents for product enrichment, dynamic pricing, supplier listing cleanup, marketplace distribution, audience activation, and GEO optimization on one shared data foundation.
• Deep Make.com support: Boost.space 5.0 adds one-click Make.com connection, a dedicated Make Engine app, priority rules for conflicting updates, and an AI Mapping Module that auto-maps incoming bundles from HubSpot, Shopify, Stripe, and similar tools.
• Remote MCP server: Exposes live business data to MCP-compatible AI tools such as Claude, OpenAI clients, Cursor, and Windsurf, allowing agents to query records, create orders, and update inventory securely.
• High-throughput operations: Markets unlimited API rate limits, bulk operations above 1,000 records per request, instant webhooks, native deduplication via key columns, and built-in remote IDs for cross-system linking.
• AI inside tables: Includes an AI toolbar for field generation, transformation, and validation, plus inline editing, advanced filters, linked-record tables, and button fields that trigger webhooks per row.

How Boost.space Works

Teams connect core systems so products, customers, orders, and campaigns flow into one unified foundation with bidirectional sync. They then deploy a ready-made AI agent or custom workflow on that same layer without training models or building pipelines from scratch. Agents run on live records, make decisions, and write results back into connected tools. For automation professionals, Make.com can keep handling scenario logic while Boost.space stores, enriches, validates, and prioritizes the records those scenarios depend on.

Integrations and Use Cases

Boost.space advertises 2,675 native integrations and is commonly used behind Make.com, n8n, and Zapier workflows. Public examples include supplier feed normalization, AI-powered PIM enrichment, LinkedIn sales outreach orchestration, audience syncing for ad platforms, and multi-channel catalog distribution for retailers and brands. Case studies reference customers such as Display Me, Tlama Games, Rock Point, Skoda, and Slevomat, with outcomes ranging from SKU expansion without extra headcount to improved campaign targeting.

The platform reports more than 15,000 teams across 140 countries and emphasizes enterprise-grade security certifications including GDPR compliance, ISO 27001, SOC 2 Type I, and HIPAA readiness. That combination makes it attractive to product-led businesses managing complex catalogs across multiple channels and markets.

Pricing and Access

Boost.space does not publish self-serve plan prices on its main marketing site. Prospective customers are directed to book a demo or request a free analysis, which indicates a sales-led buying process for most teams. Exact monthly or annual costs should be confirmed during evaluation rather than assumed from public listings.

For agencies and implementation specialists, Boost.space runs an official partner program with Silver, Gold, and Platinum tiers, recurring commissions reported at 10 to 20 percent, blueprint access, co-selling support, and partner enablement resources aimed at Make.com partners, n8n specialists, Zapier consultants, and automation agencies.

Pros and Cons

Pros:

• Strong fit for teams already invested in Make.com, n8n, or Zapier that need a durable data layer instead of spreadsheet-backed automations.
• Native MCP support makes it practical for connecting AI agents to real operational records.
• Operational AI agents target concrete problems such as incomplete catalogs, stale pricing, and fragmented supplier feeds.
• Bulk operations, instant webhooks, and native deduplication address common scaling pain points in integration platforms.

Cons:

• Lack of transparent public pricing makes quick budget comparisons harder for smaller teams.
• The platform is infrastructure-oriented, so buyers may need partner or internal integration expertise to realize value quickly.
• Priority-setting changes in version 5.0 can alter existing data-conflict behavior for long-time customers.
• Many high-value capabilities are positioned around demo-led evaluation rather than instant self-service onboarding.

Who Should Use Boost.space

Boost.space is best suited to retailers, brands, e-commerce operators, and automation agencies managing complex product catalogs across multiple suppliers, channels, and markets. It is especially compelling when a team already runs Make.com or similar iPaaS scenarios and needs a real database with deduplication, AI enrichment, and agent-ready access through MCP. It is a weaker fit for individuals or very small teams looking for simple plug-and-play SaaS with published pricing and minimal setup.