Boost.space is a no-code Agentic Database designed specifically for AI agents and automation. It transforms scattered business data into live structured context that is continuously centralized, standardized, enriched, and synced across your tools. The platform serves as a Single Source of Truth database where your data connects, enabling AI agents to act on your business with full contextual understanding.

The platform features a Data Layer with two-way synchronization capabilities that centralizes and formats your data into a single source of truth. It includes AI and Data Enrichment functionality that aggregates the strengths of the best available AI models—from image generation to text analysis—directly into your data layer. The Model Context Protocol (MCP) enables AI to execute tasks across your business toolstack, such as issuing invoices or processing orders, triggered directly by simple prompts.

Boost.space works by connecting scattered datasets across hundreds of siloed tools, building a Single Source of Truth through centralization and standardization. Once data is unified in format with relations between different datasets, the platform enriches and automates it using AI Fields that can connect to any preferred LLM. After enrichment, the system synchronizes data back to update tools from one place, keeping everything synced and up-to-date.

The platform provides benefits including turning siloed LLMs into an integrated business intelligence system, allowing workflows to compound instead of breaking. It enables AI agents to operate with full context of your business—from past interactions to live database states. Use cases include AI-powered Product Information Management for e-commerce, agentic multichannel outreach with CRM synchronization, and performance marketing powered by first-party data.

Target users include teams and companies needing to unify business data for AI and automation purposes, with specific applications for e-commerce, sales, and marketing operations. The platform integrates with automation tools like Make.com, with Zapier and n8n integrations coming soon, and is compatible with various LLMs through the Model Context Protocol.