Frequently Asked Questions

Everything you need to know about ContentAtlas, data privacy, implementation, pricing, and support.

Product & Features

ContentAtlas is an AI-empowered ETL (Extract, Transform, Load) engine that transforms messy enterprise data from SAP, Salesforce, SQL databases, and Excel files into clean, actionable pipelines. It uses AI to automatically map columns, validate data, detect duplicates, and convert formats to international standards—all while keeping your data 100% private.

Traditional ETL tools require manual schema mapping, custom code, and data engineering expertise. ContentAtlas uses AI to automate 80% of the work: it auto-discovers data relationships, self-heals broken pipelines, and intelligently maps fields without coding. What takes weeks with traditional tools takes hours with ContentAtlas.

ContentAtlas supports:

  • SAP ERP: Process unstructured SAP objects automatically
  • Salesforce CRM: Clean duplicated leads and merge records
  • SQL Databases: Migrate legacy schemas to modern data warehouses
  • Excel/CSV Files: Eliminate manual entry errors with automated validation
  • JSON & XML: Parse complex nested data structures
  • 50+ additional sources via API connectors

LLM-agnostic means you can choose which AI model powers your data transformation—OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), AWS Bedrock, or open-source models like DeepSeek and Qwen. This matters because:

  • You control your AI provider and costs
  • You can switch models without changing platforms
  • You're never locked into a single vendor
  • You can use models compliant with your data residency requirements

Self-healing pipelines automatically detect and fix data issues without manual intervention. For example:

  • If a source column changes name, ContentAtlas re-maps it automatically
  • If data format changes (e.g., date format), ContentAtlas adapts
  • If validation fails, ContentAtlas suggests corrections and learns from your decisions
  • Broken imports are rolled back automatically to prevent partial data states

ContentAtlas supports 12+ transformation types:

  • Currency cleaning: Strip symbols, normalize to ISO 4217 standards
  • Phone standardization: Convert to international E.164 format
  • Date standardization: Convert to ISO 8601 format
  • Column splitting: Split multi-value fields into separate columns
  • Column coalescing: Use first non-null value from multiple columns
  • JSON grouping: Group multiple columns into JSON objects
  • Regex replacement: Apply custom pattern-based transformations
  • Value remapping: Map values according to defined rules
  • Concatenation: Combine multiple columns into one
  • Phone composition/decomposition: Build or split international phone numbers
  • Currency precision: Flag incorrect decimal precision for review

Smart deduplication uses AI to identify and merge duplicate records across data sources. Unlike simple exact-match deduplication, ContentAtlas:

  • Detects fuzzy matches (e.g., "John Smith" vs "J. Smith")
  • Considers multiple fields (name, email, phone, address)
  • Handles variations in formatting and data entry
  • Flags ambiguous matches for human review
  • Maintains audit trails of all merge decisions

Data Privacy & Security

Implementation & Integration

Pricing & Licensing

Support & Services

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