Boost.space serves as a no-code Agentic Database designed specifically for AI agents and automation workflows. Its main purpose is to transform scattered business data into live structured context that is continuously centralized, standardized, enriched, and synced across various business tools. This enables AI agents to act effectively on business data with full contextual understanding.

The platform functions as a Single Source of Truth database that connects, manages, transforms, enriches, and synchronizes data. It provides a data layer with two-way synchronization capabilities, allowing AI to understand business context and drive self-improving workflows. The system includes AI fields for data enrichment and connects to preferred LLMs, while also supporting Model Context Protocol (MCP) to enable AI execution across business toolstacks.

Boost.space operates through a structured process that begins with connecting scattered datasets from various tools. It then centralizes and standardizes this data into unified formats with proper relations between datasets. The platform enriches data using AI Fields and connects it to preferred LLMs, followed by synchronization back to original tools to maintain updated information across all systems.

The primary benefit is providing AI agents and automations with complete, standardized context they need to execute effectively across business operations. Use cases include AI-powered Product Information Management for e-commerce, agentic multichannel outreach with CRM synchronization, performance marketing powered by first-party data, and marketplace listing optimization.

The product targets teams and companies needing to unify business data for AI and automation purposes, with specific applications for e-commerce, sales, and marketing operations. It integrates with automation platforms like Make.com, with upcoming support for Zapier and n8n, and is compatible with various LLMs through Model Context Protocol.