Boost.space
Officially listedAn AI data integration and automation platform with a built-in central database.
Boost.space
Boost.space is a unique no-code cloud database and automation integration platform aiming to be the enterprise's "single source of truth." It perfectly combines central data storage with a powerful automation engine, cleaning and two-way syncing data under a "data-first" philosophy to provide large models with an extremely reliable contextual foundation.
Core Capabilities
- Unified Data Hub: Centrally processes data from 2,675+ apps, completely eliminating data silos between systems to build the enterprise core data layer.
- True Two-Way Sync: When data changes on any platform, the system automatically pushes it to all connected tools, keeping everything globally consistent in real time.
- Embedded Automation Engine: Built on a top-tier integration engine, it seamlessly handles highly complex multi-branch, multi-step workflows, far beyond traditional trigger tools.
- Out-of-the-Box AI Agents: Built-in AI agents for specific business scenarios automatically handle tedious tasks like product data enrichment, competitor monitoring, and supplier data cleaning.
- AI-Native-Ready Architecture: Full support for LLM protocols lets AI models directly read and process standardized structured data, greatly improving AI output accuracy.
- Enterprise-Grade Security Certifications: Strictly complies with GDPR and holds top certifications such as ISO 27001, SOC 2, and HIPAA to protect sensitive enterprise information.
Use Cases Extremely well suited to mid-sized and large e-commerce sellers and marketing agencies facing serious data silos, and an ideal choice for operations teams and data architects who want to standardize scattered business data and use it to drive LLMs.
Unique Advantages Unlike Zapier or Make, which merely play the "data porter," Boost.space originally fuses a long-term storage database foundation with automated workflows. Compared with Airtable, which needs third-party assistance, it is an all-in-one that achieves data aggregation and orchestration across the entire tool stack at a lower barrier.
Editor's Review This is the ultimate data infrastructure tool combining data aggregation, cleaning, and AI application most deeply on the market today. Although there is a steep initial setup and learning curve, once the data mesh is built, the fully automated two-way sync and AI efficiency gains are irreplaceable—an absolute best choice for enterprises pursuing maximum efficiency.
Pricing
### 💰 定价模式：免费增值 / 定制企业版付费 **起步价**：免费 #### 主要方案 - **免费版**：$0 - 包含 3,000 条数据记录，每月 5,000 个 AI 积分，适合个人体验和测试。 - **专业版/商业版**：需联系销售获取定制报价 - 基于模块需求定制的灵活定价。 - **企业版**：约 $800/月起 - 定制的数据记录上限、高级双向同步频率以及专属技术支持。 #### 试用/其他信息 定价主要取决于数据容量（记录数）、每月操作数以及 AI 积分。曾在 AppSumo 推出过终身买断制（LTD）。 — Visit website
FAQ
Is Boost.space free?
Boost.space has a free version with 3,000 data records and 5,000 AI credits per month, suitable for personal trial and testing. Higher data capacity, operation volumes, and advanced sync require contacting sales for an enterprise quote; enterprise plans start at about $800/month.
What can Boost.space be used for?
Boost.space is an integration platform combining a central database and an automation engine, used to centralize data from over 2,600 apps. It eliminates data silos, achieves true two-way data sync, and provides cleaned, standardized, reliable data context for AI large language models.
Which apps does Boost.space support for data integration?
Boost.space connects over 2,675 mainstream apps, including common CRMs, marketing tools, and e-commerce platforms like Shopify, HubSpot, and Google Sheets, with hundreds of prebuilt automation templates (Appflows) for one-click installation.
How does Boost.space keep enterprise data secure?
Boost.space meets enterprise-grade security standards: the system is not only GDPR compliant but has earned high-level security certifications such as ISO 27001, SOC 2 Type I, and HIPAA, ensuring excellent protection of customers' sensitive information.
What is the difference between Boost.space and Zapier or Make?
Zapier and Make mainly serve as data movers between systems, lacking long-term native data storage. Boost.space builds a centrally stored database hub on top of the Make automation engine, achieving deeper unified data management and more efficient global sync.
Why is Boost.space suitable for data preparation for LLMs?
Boost.space adopts a "data-first" design, able to unify, standardize, and two-way sync data before feeding it to large models. It also supports protocols like MCP so AI agents can directly read and write high-quality standardized data, greatly improving AI output accuracy.