boost.space

Unify business data, run live AI automations.

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About boost.space

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Key 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

  • + AI-first architecture: Built around context for agents instead of one-off chatbot answers.
  • + Integration breadth: Connectors for thousands of SaaS tools, plus tight collaboration with Make scenarios.
  • + Scalable data handling: Designed for high record counts and bulk enrichment without constant CSV imports.
  • + Enterprise posture: ISO 27001, SOC 2, GDPR and Data Act compliance reassure security-conscious buyers.

Cons

  • − Setup complexity: Good outcomes depend on thoughtful data modeling and sync configuration.
  • − Automation dependencies: Smaller plans still rely on external tools like Make for many workflow automations.
  • − Ecosystem maturity: Zapier and n8n options are still marked as coming soon.