Boost.space is a platform for syncing and enriching data across business tools, built with AI use cases in mind. It uses the Model Context Protocol (MCP) to help prepare structured, reliable context for modern language models and agent workflows.
Unified data space for AI
Boost.space pulls data from thousands of integrations into a single store. You choose which systems to connect, which fields to standardize, and how to enrich records—so AI models work with consistent, clean, up-to-date context instead of scattered sources.
- Centralize data from many business apps
- Align fields and normalize structures across systems
- Enrich records to improve AI context quality
No-code automation
Automations are built in a visual, no-code builder. You can trigger multi-step workflows by events, schedules, or requests from an AI agent. This reduces developer workload and speeds up AI adoption across teams.
- Event- and schedule-based workflows
- Agent-triggered action chains
- Useful for sales, marketing, support, and operations
Built for scale
Boost.space is designed for teams managing many connected tools. It supports security and access control needs and helps keep the data layer stable as integrations and automation volume grow.
