Operational data layer built fortwo-way
Enterprise data lives in dozens of systems — fragmented, duplicated, drifting. Boost.space centralizes, deduplicates, and synchronizes your data in real time. The foundation for automation, AI agents, and scale.
AI doesn't fail because of models. It fails because of data.
Business context isn't one paragraph. It's millions of live records — constantly changing across every system your organization runs.
Product Data
- ERP, ecommerce, supplier feeds, marketplaces
Customer Data
- CRM, email tools, ads platforms, support systems
Financial Data
- Accounting tools, invoicing, treasury
Operational Data
- Spreadsheets, internal apps, custom databases
Each system stores part of the story. AI sees snapshots — not relationships, not computed truth, not real-time changes. Large datasets don't fit context windows. Exporting to prompts breaks security. Reports are static the moment they're generated. The models are powerful. The context is broken.
Trusted by industry leaders
See how enterprises use Boost.space to unify their data and power AI workflows.
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CommercePIM
From 350 to 1,000+ SKUs with Zero Extra Headcount
89%less time on product data management
TLAMA Games
MarketingCDP
+23% Customer Lifetime Value in Just 5 Months
Slevomat
MarketingCDP
Improved Targeting in Sklik with Audience Syncing
"Boost.space was instrumental partner in the transition to a cookieless world."
Built for scale. Zero compromises.
Traditional platforms hit walls at scale — rate limits, polling delays, manual deduplication, no cross-system linking. Boost.space eliminates every bottleneck your infrastructure team will face.
Capability
| Feature | Traditional platforms | Boost.space |
|---|---|---|
| API Rate Limits | 5 requests/sec | Unlimited |
| Bulk Operations | 10 records/request | 1,000+ records/request |
| Webhooks | Polling required | Instant, real-time |
| Deduplication | Manual | Native Key Column |
| Cross-system Linking | Not available | Remote IDs built-in |
| AI Agent Layer | Limited or none | Native MCP server |
| Max Records/Table | 50K–500K per plan | Unlimited |
| Data Flow Visualization | Not available | Native SSOT view |
How it works
Four layers. One pipeline. From fragmented data to AI-ready context.
01 Connect
- 2,600+ native integrations
- Auto-mapping — send bundles, skip field config
- Typed fields, validation rules, enforced relationships
02 Deduplicate
- Native Key Column upsert — automatic dedup
- Remote IDs link records across systems
- Single Source of Truth without manual cleanup
03 Synchronize
- Bi-directional two-way sync
- Priority-based conflict resolution
- Instant webhooks — no polling, no drift
04 Enrich & Execute
- AI Fields classify, generate, validate at scale
- MCP for AI agent access
- Query millions of records, write back results
Real impact. Measurable from week one.
| Data Volume | Manual Hrs/Month | Hours Saved | Monthly Value |
|---|---|---|---|
| 5,000 records | 80 hrs | 32 hrs | ~€960 |
| 10,000 records | 160 hrs | 64 hrs | ~€1,920 |
| 50,000 records | 400 hrs | 160 hrs | ~€4,800 |
| 100,000+ records | 800+ hrs | 320+ hrs | ~€9,600+ |
Where enterprises start
Boost.space works with any dataset. These are the highest-impact entry points.
AI-powered product infrastructure
Turn product catalogs into AI-powered engines. Normalize supplier data, enrich with AI, optimize pricing, and sync across all channels in real time.
AI-powered customer infrastructure
Unify customer data from CRM, ads, email, and support. Deduplicate, segment dynamically, and activate with AI-driven personalization.
AI agent workflows via MCP
Connect AI agents to live business data. Query, compute, and write back — invoice reconciliation, recruitment, contract intelligence, and more.
Three pillars of Boost.space
Connect your data, enrich it with AI, and let agents act on it — the full stack for AI-ready business operations.
Connect
Centralize data from all your tools, deduplicate records, and keep everything in sync with bi-directional two-way sync. Your single source of truth.
Enrich
Built-in AI fields classify, normalize, translate, and generate structured metadata — turning raw records into usable context for AI agents.
Execute
Connect LLMs directly to your live business data. AI agents query, compute, and act — no exports, no hallucinations.
Ready to build your AI data foundation?
Talk to our solutions team. We'll map your current stack, identify your biggest data gaps, and show you how Boost.space fits your architecture.