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.
• Enterprise posture: ISO 27001, SOC 2, GDPR and Data Act compliance reassure security-conscious buyers.

Cons

• Setup complexity: Good outcomes depend on thoughtful data modeling and sync configuration.
• Automation dependencies: Smaller plans still rely on external tools like Make for many workflow automations.
• Ecosystem maturity: Zapier and n8n options are still marked as coming soon.

Who Uses It

• E-commerce Businesses: Unifying catalog data, supplier feeds, and images, then enriching listings for marketplaces and storefronts.
• Sales & RevOps Teams: Synchronizing CRM data and activities while powering AI-supported outreach and reporting.
• Marketing Teams: Building first-party audiences and coordinated campaigns from centralized data across ad, email, and analytics tools.
• Operations & Data Teams: Maintaining a single source of truth that underpins dashboards, internal tools, and automation.
• Uncommon Use Cases: Used by AI consulting agencies for client data-readiness projects; adopted by SaaS product teams to feed in-app copilots.

Pricing

• Free: $0 per month; includes 500 records, 500 AI credits per month, unlimited users, Automation Engine with your Make account, and free trial access.
• Pro: $25 per month (discounted from $49 per month with code TADEAS50); includes 20,000 records, 20,000 AI credits per month, unlimited users, Automation Engine with your Make account, and free trial access.
• Business: $135 per month (discounted from $269 per month with code TADEAS50); includes 150,000 records, 150,000 AI credits per month, unlimited users, Automation Engine with your Make account (built-in option +$75 per month), and free trial access.
• Enterprise: Custom pricing; includes custom records and AI credits, unlimited users, Automation Engine (custom built-in option), and demo booking access.