Consolidate massive files automatically. Detect structures, transform rows with regex logic, and ensure 100% data relevance using Pandas and LLMs.
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Multi-source data consolidation with automatic mapping and validation.
Uploading shopify_orders_nov.csv
Source: E-commerce 🛒
| File Name | Source | Status | Records |
|---|---|---|---|
| quickbooks_invoices_q4.xlsx | 💰 Accounting | Completed | 1,240 |
| stripe_payments_oct.csv | 💳 Payments | Completed | 2,145 |
| salesforce_contacts_export.xlsx | 👥 CRM | Completed | 1,820 |
| mailchimp_subscribers.csv | 📧 Marketing | Completed | 4,567 |
Content Atlas handles the dirty work of ETL so you don't have to. From schema detection to duplicate protection.
Sample massive files, detect structures automatically, and stream datasets via API. We handle the complexity of merging scattered data.
Ensure 100% data relevance. Merge data into existing tables, create new ones on the fly, or move data with precision using Pandas.
Apply Regex and complex transformation logic driven by AI. Clean, format, and standardize rows automatically during ingestion.
Host 100% in-house, including the AI model. We only send samples to the AI, keeping your massive datasets secure and local.
Detect duplicate entries and take action: merge, skip, or flag. Our engine proactively manages data consistency.
Discuss with the LLM to decide the best manipulation strategy. The AI suggests actions based on your specific data context.
Discuss with the LLM to decide the best actions for your data. Whether it's applying complex regex, transforming rows, or deciding on merge strategies, the AI guides you through the process.
Row Validation Quality
Direct streaming uploads. Files land securely in S3 buckets instantly.
Content Atlas engine maps, validates, and dedupes using parallel async workers.
Clean, 100% accurate data is committed to your database schemas.
Join the teams using Content Atlas to bridge the data gap.
Unlock your data. Unleash your AI.