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.

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.