Unify business data, run live AI automations.
What is boost. space? boost. space focuses on turning fragmented business data into a single, AI-ready context layer. It acts as a no-code agentic database that centralizes records from CRM, e-commerce, billing, support, and more, then keeps everything synchronized. On top of that standardized data, teams can run automations and AI agents, use built-in enrichment fields, and let large language models calculate answers and trigger workflows on live data rather than stale exports. 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.

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