Turn raw data intoenriched products
Raw data isn't enough — AI needs meaning. Built-in AI fields classify, normalize, translate, and generate structured attributes at scale. Your data becomes continuously enriched, automation-ready, and prepared for intelligent execution.

Your data is incomplete. AI can't work with that.
Business context isn't one paragraph. It's millions of records — products, customers, invoices — constantly changing across dozens of systems. When data is fragmented and inconsistent, AI guesses. It hallucinates. It produces generic answers.
Missing attributes
Product descriptions, categories, and metadata are incomplete or absent across systems.
No localization
Content exists in one language. Expanding to new markets means manual translation at scale.
Inconsistent formatting
Names, addresses, categories — every system formats differently. AI can't make sense of the mess.
Stale data
Enrichment happens once manually, then records drift. No continuous updates, no validation.
Missing attributes, inconsistent formats, stale records, untranslated content — AI can't produce meaningful output from broken input. Without continuous enrichment, your data is a liability, not an asset. The models are powerful. The context is broken.
Trusted by industry leaders
See how enterprises use AI enrichment to transform their data operations.

From 350 to 1,000+ SKUs with zero extra headcount

+23% customer lifetime value in just 5 months

Improved targeting in Sklik with audience syncing
"Boost.space was instrumental partner in the transition to a cookieless world."

Scaling product data for automotive aftermarket
"Their professionalism, innovation, and responsiveness were outstanding."
AI enrichment that actually scales.
Most platforms bolt on AI as an afterthought — limited fields, no validation, no BYOK. Boost.space makes AI a native part of your data layer.
How it works
Four AI capabilities. One enrichment engine. From raw records to structured context.
Transform
- Prompt-based rules normalize incoming data
- Auto-standardize formats across systems
- Ensure SSOT compatibility on every sync
Validate
- AI spots outliers and inconsistencies
- Custom rules per field, per marketplace
- Flag errors before they reach customers
Generate
- AI fields create content from live data
- Product descriptions, SEO tags, translations
- Thousands of rows in seconds, not weeks
Enrich
- Fill missing attributes automatically
- Connect to enrichment APIs (Apollo, etc.)
- Continuous — not one-time import
Four AI capabilities. One engine.
Each capability works independently or as part of a continuous enrichment pipeline — processing thousands of records in seconds.
AI transformation
Create AI Transformation prompt-based rules that automatically transform incoming data to ensure your Single Source of Truth (SSOT) is always compatible, standardized, and understandable for every tool in your stack.
- Normalize product names, addresses, categories across sources
- Auto-standardize currencies, units, date formats
- Ensure SSOT compatibility on every sync cycle
AI validation
Use AI Validation to spot outliers and inconsistencies based on your specific rules — like flagging descriptions that are too short for Amazon or product names that miss your brand's formatting standards.
- Flag missing fields, invalid values, format violations
- Custom validation rules per field, per marketplace
- Continuous monitoring — not one-time checks
AI fields
Intelligent columns that use natural language prompts to automate high-quality content at scale. By referencing existing data as live variables, you can generate personalized product descriptions, SEO tags, or customer responses for thousands of rows in seconds.
- Product descriptions in 50+ languages from a single prompt
- SEO-optimized titles, meta tags, and alt text
- Thousands of rows enriched in seconds, not weeks
Built-in enrichment
Stop manual prospecting and start executing. Connect your data directly to world-class intelligence like Apollo to automatically transform basic leads into comprehensive profiles — verified emails, phone numbers, and professional insights directly into your database.
- Auto-fill missing attributes from external sources
- Connect to Apollo, Clearbit, and custom APIs
- Always-on — trigger-based, not one-time import
How Display Me enriched 1000+ products with AI — replacing 900 hours of manual work
decrease in time spent on product data
reduction in manual product updates

Real impact. Measurable from week one.
See how AI enrichment saves time across different data types.
Based on €30/hr blended ops cost. Includes classification, translation, description generation, and metadata enrichment.
Based on €30/hr blended ops cost. Includes classification, translation, description generation, and metadata enrichment.
Where AI enrichment drives the most impact
Enrich product catalogs, customer profiles, or any dataset — at scale.

AI-powered product enrichment
Generate descriptions, translate to 50+ languages, normalize supplier data, and enrich product catalogs at scale.
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Customer data enrichment
Fill missing profile data, classify leads, standardize contact records, and build enriched segments for activation.
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AI agent context layer
Enriched data becomes the live context layer for AI agents — query structured records, not raw exports.
ExploreThree 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.

Data layer
Centralize data from all your tools, deduplicate records, and keep everything in sync with bi-directional two-way sync. Your single source of truth.
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AI enrichment
Built-in AI fields classify, normalize, translate, and generate structured metadata — turning raw records into usable context for AI agents.
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MCP
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.