Now in Early Access

Data Ingestion Without
The Engineering Overhead

Turn scattered documents, spreadsheets, and archives into high-fidelity Postgres assets. Multi-format ingestion, dynamic schemas, and duplicate defense—built for teams who need accurate data, fast.

atlas.consuly.ai/dashboard

Active Ingestion

Processing batch upload: Q3_Sales_Archive.zip

sales_europe_2024.csv

Mapping detected: std_sales_schema_v2

Active
Processing chunk 14/20 24,500 rows ingested
Source ID Client Name Revenue Status
REF-001 Acme Corp $12,500 Mapped
REF-002 Stark Ind $45,000 Duplicate Detected
REF-003 Wayne Ent $89,200 Mapped
Postgres
AWS S3
Python
CSV/Excel

Core Capabilities

Content Atlas handles the dirty work of ETL so you don't have to. From schema detection to duplicate protection.

Multi-Format Ingestion

Drag and drop CSV, Excel, JSON, XML, or even zipped archives. We stream directly from AWS S3, processing files of any size without timeouts.

Dynamic Schema Creation

Don't have a target table? We'll build one. Content Atlas detects types, structures, and relationships to create Postgres tables on the fly.

Duplicate Defense

Configurable row-level and file-level uniqueness rules. We catch duplicates before they pollute your database and provide explicit error reports.

Flexible Mapping

Reuse mappings across similar files using structure fingerprinting. Transform columns and apply rules once, then automate forever.

Scalable Processing

Chunked imports and parallel checks mean your UI never freezes. Async jobs handle massive files in the background while you keep working.

REST API Surface

Built for developers. Trigger imports, lookup schemas, and track async tasks programmatically via our documented API endpoints.

Smart Mapping with the
AI Interface

No more command lines. Interact with your data through a rich, visual UI. The AI Assistant helps you map complex files, merge tables, and validate structures before ingestion begins.

  • Visual Confirmation: Review column mappings and data types in a clear table view before committing.
  • Smart Adjustments: Ask the AI to "Exclude personal emails" or "Merge into the Q3 dataset" naturally.
  • Live Progress: Track ingestion health with real-time graphs and progress bars.
Explore the Interface docs
AI
Mapping Assistant
Map clients_2024.csv. Please exclude the 'temp_id' column and merge into 'Global_Clients'.
YO
AI
I've analyzed the file. Here is the proposed mapping structure for the Global_Clients table.

Mapping Preview Ready to Merge

CSV Column Action Target Column
Client Name
name
Revenue
annual_rev
temp_id
Excluded
Ingestion Progress Processing... 45%

Row Validation Quality

Cloud-Native Architecture

1

Upload to S3

Direct streaming uploads. Files land securely in S3 buckets instantly.

2

Process In-Memory

Content Atlas engine maps, validates, and dedupes using parallel async workers.

3

Write to Postgres

Clean, 100% accurate data is committed to your database schemas.

Stop Wrestling with CSVs.

Join the teams using Content Atlas to bridge the data gap.
Unlock your data. Unleash your AI.