boost.space

boost.space

boost.space unifies business data and runs live AI automations across your entire operation.

About boost.space

boost.space serves as a central data hub that consolidates customer, product, and operational information into a live, structured view designed specifically for AI agents. Rather than having data scattered across multiple tools, this platform creates a unified foundation where your AI systems can access, understand, and act on accurate business data in real time. The platform connects to over 2,600 tools and automation platforms including Make, Zapier, and n8n, enabling seamless two-way synchronization. This means your data stays current across all systems without manual intervention, reducing inconsistencies and ensuring your AI agents always work with up-to-date information. boost.space includes built-in AI and data enrichment capabilities through AI Fields, which automatically classify, normalize, translate, and enhance records at scale. This transforms raw data into structured, actionable metadata that improves the quality of insights and decisions your AI systems can make. The platform uses Model Context Protocol (MCP) to connect any large language model, giving your AI agents the ability to query data, compute results, and trigger workflows directly. This flexibility means you can leverage your preferred LLM while maintaining a consistent data layer across your entire automation infrastructure.

Features

  • Agentic Database & Context Layer: Consolidates customer, product, and operational data into a live structured view for AI agents.
  • Data Layer & Two-way Sync: Connects to 2,600+ tools and automation platforms like Make, Zapier, and n8n to keep records aligned.
  • AI & Data Enrichment: Uses AI Fields to classify, normalize, translate, and enrich records at scale with structured metadata.
  • MCP-based AI Agents: Connects any LLM through Model Context Protocol so agents can query data, compute results, and trigger workflows.

Pros

👍 Unifies data from 2,600+ connected tools in one structured layer 👍 Two-way sync keeps all systems aligned automatically 👍 AI enrichment scales data classification and normalization 👍 Works with any LLM through Model Context Protocol 👍 Enables AI agents to query data and trigger workflows directly

Cons

👎 Requires integration setup across multiple existing systems 👎 Learning curve for configuring agentic workflows 👎 Pricing model not clearly detailed for budget planning 👎 Data complexity may require initial restructuring efforts

boost.space Pricing Plans

Free

$0 per month

Pro

$25 per month

Business

$135 per month

Enterprise

Custom

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