Boost.space v5

Boost.space v5 provides a persistent context layer that turns siloed LLMs into an integrated business intelligence system. Give automations a Shared Brain with past interactions and live database state.

Boost.space v5

About Boost.space v5

Boost.space v5 is a no-code Single Source of Truth database built for AI and automation use cases. It consolidates fragmented business data into a Unified Grid and enriches that data so automations and AI agents can act on accurate, live context.

Review

This release emphasizes a persistent context layer that helps AI agents and automations share state and build on each other's work. It combines a central data store with built-in automation capabilities via the Make.com engine, aiming to replace fragile spreadsheet-based stacks.

Key Features

  • Unified Grid: a Single Source of Truth (SSOT) that aggregates and normalizes scattered business data.
  • Shared context for AI agents: persistent context so agents and workflows can reference past interactions and live database states.
  • Two-way, real-time synchronization: live updates and bi-directional sync across connected apps.
  • Built-in automation engine: Make.com-powered orchestration for creating and running automations without external tooling.
  • MCP Ready / LLM query support: allow LLMs and agent systems to query and reason over live business data.

Pricing and Value

Boost.space v5 follows a freemium approach with free options and paid subscription tiers, including a PLUS plan that bundles the Make.com engine. At launch there is a founders' offer (limited-time discount and onboarding hours) that reduces initial cost for early adopters. The platform's value comes from reducing manual sync work, consolidating integrations, and providing persistent context that can make automation stacks more reliable and compound in value over time.

Pros

  • Centralizes data across many apps so teams stop chasing multiple sources of truth.
  • Persistent context improves the reliability and continuity of AI agents and complex workflows.
  • Wide integration surface and a built-in automation engine simplify building end-to-end scenarios.
  • Real-time, two-way sync supports workflows that depend on current state and updates.
  • Helpful onboarding materials and tutorials reduce initial setup friction for many users.

Cons

  • There is a learning curve for users unfamiliar with data modeling or automation design.
  • Some users have reported occasional support delays during account or login issues.
  • Costs can increase for teams that need high-volume usage or the bundled automation engine on paid tiers.

Overall, Boost.space v5 is best suited for teams and operations focused on scaling automations, integrating many tools, or giving AI agents live business context. Small solo users with simple needs may find it more than required, while growing teams and automation engineers will benefit most from its centralized data approach and built-in orchestration.



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