What is boost.space?
boost.space is an agentic database platform that converts fragmented business data from over 2,600 connected apps into a unified, AI-readable context layer. Version 5.0, launched in early 2026, introduced a full Agentic AI Layer where LLMs connected via Model Context Protocol can query records, compute results, and write changes back to source systems in real time — bidirectional sync rather than passive data warehousing. The platform is ISO 27001, SOC 2, and GDPR compliant, reassuring buyers in regulated sectors. AI agents are only as useful as the data they can access. When customer records live in HubSpot, orders in Shopify, support tickets in Zendesk, and inventory in a custom ERP, any agent asked to act on customer context is working from incomplete information. boost.space solves this by maintaining a live Single Source of Truth that propagates changes back to every connected tool automatically. Unlike Airtable, which is a strong standalone database without native real-time multi-app sync, boost.space is architected specifically as the read-write memory layer underneath an agent stack. Teams without a clear data unification use case should not use boost.space as a general-purpose automation tool. It is not a substitute for Make or Zapier's trigger-action automation logic — it is the data infrastructure layer those tools act on, and its value depends entirely on the quality of the data modeling and sync configuration work done at setup.
boost.space is an agentic AI data platform that unifies business records from 2,600+ apps into a live, AI-ready context layer for automated workflows and AI agents.
boost.space is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.
Key Features
Pros & Cons
Who Uses boost.space?
boost.space vs Lutra AI vs Convergence vs Illumex
Detailed side-by-side comparison of boost.space with Lutra AI, Convergence, Illumex — pricing, features, pros & cons, and expert verdict.
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Pricing |
Free | Freemium | Free | unknown |
Rating |
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Free Trial |
✓ | ✓ | ✓ | ✕ |
Key Features |
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Pros |
Designed as a persistent context layer for AI agents ra Connects to 2,600+ SaaS tools with particularly deep co Engineered for high record volumes and bulk AI enrichme | Describing a workflow in plain English and having it ex Data extraction and enrichment tasks that take an analy Pre-built connections to Airtable, Slack, HubSpot, Goog | Proxy handles the full execution of delegated tasks aut At $20 per month for the Pro tier, Convergence provides Natural language task setup removes the technical barri | Illumex's live duplication detection and semantic asset By maintaining a single, semantically consistent defini The platform's semantic layer grows more contextually a |
Cons |
Realizing boost.space's value requires thoughtful data Smaller subscription plans still rely on external autom Native Zapier and n8n automation integrations were stil | Users new to automation concepts may initially write in Workflows connecting to tools outside Lutra's pre-integ | Users unfamiliar with AI agent delegation often underus The free plan caps the number of Proxy sessions and aut Proxy's ability to execute web-based tasks is entirely | Data contributors unfamiliar with semantic data platfor Illumex's enterprise positioning places it at a price p Illumex's semantic integration layer maps relationships |
Best For |
E-commerce Businesses | E-commerce Businesses | Busy Professionals | Financial Institutions |
Verdict |
For data-mature RevOps or e-commerce teams that have identif… | For digital marketing agencies and financial analysts runnin… | For busy professionals managing high volumes of repetitive o… | For telecommunications companies and financial institutions … |
Try It |
Visit boost.space ↗ | Visit Lutra AI ↗ | Visit Convergence ↗ | Visit Illumex ↗ |
boost.space vs Lutra AI vs Convergence vs Illumex — Which is Better in 2026?
Choosing between boost.space, Lutra AI, Convergence, Illumex can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.
boost.space vs Lutra AI
boost.space — boost.space is an AI Agent platform that functions as the data infrastructure layer for teams running multi-tool AI automation. Its three-way sync engine, AI Fi
Lutra AI — Lutra AI is an AI Agent that executes multi-step data workflows autonomously based on natural language input, with pre-built connections to Airtable, Slack, Goo
- boost.space: Best for E-commerce Businesses, Sales & RevOps Teams, Marketing Teams, Operations & Data Teams, Uncommon Use
- Lutra AI: Best for E-commerce Businesses, Digital Marketing Agencies, Research Institutions, Financial Analysts, Uncomm
boost.space vs Convergence
boost.space — boost.space is an AI Agent platform that functions as the data infrastructure layer for teams running multi-tool AI automation. Its three-way sync engine, AI Fi
Convergence — Convergence is an AI Agent that autonomously handles repetitive online tasks — browsing, form-filling, data aggregation, and scheduled workflows — through its n
- boost.space: Best for E-commerce Businesses, Sales & RevOps Teams, Marketing Teams, Operations & Data Teams, Uncommon Use
- Convergence: Best for Busy Professionals, Managers, Researchers, Developers, Uncommon Use Cases
boost.space vs Illumex
boost.space — boost.space is an AI Agent platform that functions as the data infrastructure layer for teams running multi-tool AI automation. Its three-way sync engine, AI Fi
Illumex — Illumex is an AI Tool that applies semantic intelligence to enterprise data management, automating metric documentation and preventing the analytical duplicatio
- boost.space: Best for E-commerce Businesses, Sales & RevOps Teams, Marketing Teams, Operations & Data Teams, Uncommon Use
- Illumex: Best for Financial Institutions, Healthcare Providers, Retail Chains, Telecommunications Companies, Uncommon
Final Verdict
For data-mature RevOps or e-commerce teams that have identified fragmented business data as the primary bottleneck for their AI agent deployment, boost.space v5 delivers the unified context layer those agents need to act reliably. The primary limitation is that value realization depends heavily on upfront data modeling discipline — teams that skip schema planning during onboarding will find the sync engine amplifying existing data quality problems rather than solving them.
FAQs
3 questionsExpert Verdict
Summary
boost.space is an AI Agent platform that functions as the data infrastructure layer for teams running multi-tool AI automation. Its three-way sync engine, AI Fields for enrichment, and MCP-based agent access make it distinctly different from passive integration tools like Zapier or standalone databases like Airtable. Pricing starts at $59 per month on a subscription model with a free trial available.
It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.
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