LLM-Agnostic AI Mapping

Let AI Handle Your Data Mapping

LangChain agents powered by your choice of LLM—OpenAI, Anthropic, Gemini, AWS Bedrock, or open models like DeepSeek, Moonshot, GLM, Qwen—analyze your files, understand their structure, and intelligently map them to your database with zero data exposure.

Supported Providers

Your LLM, Your Data, Your Privacy

ContentAtlas is fully LLM-agnostic. Use your own API keys or dedicated models. Your data never leaves your infrastructure, ensuring 100% privacy—critical for financial and enterprise sectors.

Core Providers

OpenAI

GPT-4, GPT-4o, and o-series models for advanced reasoning and analysis.

Anthropic

Claude 3.5 Sonnet and Opus for nuanced understanding and complex tasks.

Google Gemini

Gemini 1.5 Pro and Flash for multimodal analysis and large context windows.

AWS Bedrock

Claude, Llama, and Titan models with enterprise-grade security and compliance.

Open & Alternative Models

DeepSeek

Moonshot

GLM

Qwen

How It Works

What the AI System Does

ContentAtlas AI uses LangChain agents with your selected LLM provider to automatically analyze uploaded files and determine their optimal mapping strategy.

Analyze File Structure

Examines columns, data types, and data quality to understand what your file contains.

Compare with Existing Tables

Finds semantic matches between your file columns and existing database tables.

Recommend Strategies

Suggests whether to create a new table, merge, extend, or adapt existing schemas.

Provide Reasoning

Explains its decisions so you understand why certain mappings were recommended.

AI Analysis

File Analysis with Confidence Scores

The AI examines your file and provides confidence scores for each column mapping recommendation using your selected LLM.

AI analyzing file structure with semantic matching confidence scores

LangChain agent analyzes file structure and detects semantic matches with 0-100% confidence scores

Modes of Operation

Choose Your Workflow

Two modes to match your preferred level of control.

Aspect Auto-Process Mode Interactive Mode
Description Fully automated file analysis and import Conversational workflow with LLM asking questions
Workflow Click "Map Now" → "Auto Process" → "Process Now" Click "Map Now" → "Interactive" → "Start Analysis"
Use Case Trusted data sources, speed prioritized Complex data, ambiguous mappings, user control
Analysis Pipeline

How AI Analysis Works

A streamlined 5-step process from file upload to execution using your selected LLM.

1

File Upload

Upload your CSV, Excel, JSON, or XML file. The system accepts files up to 100,000+ rows.

2

Smart Sampling

The system samples your file intelligently, adapting to file size for optimal analysis speed.

3

LLM Agent Analysis

Your selected LLM via LangChain analyzes structure, compares with database schema, and resolves conflicts. Max 5 iterations.

4

Generate Recommendation

The AI outputs a recommended strategy, column mapping, and confidence score with full reasoning.

5

Execution

Auto-execute immediately or confirm manually—your choice based on confidence level.

ContentAtlas maps AI decisions coming in. Helm governs AI decisions going out.

The intelligence that maps your schemas can't bypass your infrastructure without approval. Helm intercepts every LLM agent action as a structured JSON proposal — the same AI, with a human gate on every outbound move.

See Helm →

Let AI Handle Your Data Mapping

Book a strategy session to discover how ContentAtlas AI-assisted mapping can automate your file analysis using OpenAI, Anthropic, Gemini, Bedrock, or open models—with 100% data privacy.