datathere

Untangle your data with AI.

datathere makes partnerships and integrations simple.
Not simpler. Simple.

Customer Orders CSV
Order #SKUQty
ORD-7802APC-152012
ORD-7803SNG-33004
Product Catalog API 
GET /products/APC-1520

  "sku": "APC-1520",
  "description": "USB-C Cable 2m",
  "weight_kg": 0.12
Regional Pricing XML 
<price sku="APC-1520"
       region="US-West">
  <amount>14.99</amount>
  <currency>USD</currency>
</price>

Ready to map

SKU = SKU SKU = SKU Region = Region
Customer Orders CSV
SKU
Region
Product Catalog API
SKU
Regional Pricing XML
SKU
Region
Validation Results271 passed, 13 failed
95.4%
Passing (271)Failing (13)
Valid Order Format
Matches ORD-0000 pattern
100%ErrorReject
Restricted Product Check
Description excludes restricted terms
98.9%ErrorQuarantine
Price Range Check
unit_price > 0.25 AND unit_price < 3000
99.6%ErrorQuarantine
Weight Within Spec
weight_kg > 0 AND weight_kg < 50
100%ErrorReject
Region Format
Matches XX-XXXXX pattern
96.1%WarningFlag
3
Sources
5
Fields
5
Mapped
100%
Success
Order Number
order_id
100%
Unique purchase order number from ERP system
SKU
sku
100%
Stock keeping unit identifying the product across all sources
Description
description
95%
Product name and spec from catalog, matched by SKU
Unit PriceCurrency
unit_price
91%
Region-specific unit price and currency for the ordered SKU
Quantity
quantity
100%
Number of units ordered per line item

Pipeline Run

Complete
2 min ago Daily at 2:00 PM PST 831 / 844 records
Data Flow
Orders 284 Products 142 Pricing 418 Passed 831 Quarantined (13) Mapped 831 Output 831
Vendor Order Feed JSON 

  "order_id": "ORD-7802",
  "sku": "APC-1520",
  "description": "USB-C Cable 2m",
  "unit_price": 14.99,
  "currency": "USD",
  "quantity": 12
See How It Works
95%+ First-Pass Mapping Accuracy GDPR/CCPA Ready 120M+ Records Processed MCP Ready 15 min to First Partner Connection Enterprise Ready 90%+ Join Discovery Accuracy Multi-Provider AI 95%+ First-Pass Mapping Accuracy GDPR/CCPA Ready 120M+ Records Processed MCP Ready 15 min to First Partner Connection Enterprise Ready 90%+ Join Discovery Accuracy Multi-Provider AI

Connect anything

Partners send data in different formats. datathere handles all of them through the same mapping workflow — including joins across sources with complex expressions.

CSV
JSON
XML
PDF
TXT
API
See how it works →

How it works

1

Connect

Upload files or connect an API. CSV, JSON, XML, PDF, TXT — handled through the same workflow regardless of format.

2

Map

AI analyzes field names, data types, and sample values to generate mappings with confidence scores and reasoning. Edit in plain English.

3

Certify

Review mappings, transformations, joins, and quality rules. Certification validates the configuration and locks it for production.

4

Run

Trigger manually, on a schedule, on file drop, or via webhook. An 8-phase pipeline processes records with quality enforcement at each step.

Industries

Logistics and supply chain

ERP, WMS, TMS, and carrier data unified across a fragmented system landscape.

See the guide

Financial services

KYC, risk, fraud, and compliance data from external providers, normalized to a canonical schema.

See the guide

Retail and consumer

Supplier catalogs, channel syndication, compliance PDFs, and inventory reconciliation.

See the guide

Manufacturing

Part master data, vendor spec sheets, and procurement consolidation across ERP and PLM.

See the guide

SaaS and technology

Customer data unified across product, CRM, billing, and support. Implementation onboarding without engineering tickets.

See the guide

AI That Shows Its Work

AI generates field mappings, transformations, join conditions, and quality rules. Every suggestion includes a confidence score and the reasoning behind it.

Review. Certify. Run.

Every mapping is editable in plain English. Every transformation is visible before execution. Only certified mappings reach production.

Any Source, One Workflow

CSV, JSON, XML, PDF, and API sources follow the same integration workflow. Join across sources on any condition, including complex expressions.

Data Quality Profiling

datathere profiles your source data and creates quality rules. Run them independently or make them part of your pipeline's run rules.

Production-Grade From the Start

An 8-phase pipeline with scheduled, webhook, and file-drop triggers. Real-time job tracking with phase-level progress. Built as production infrastructure from day one.

Enterprise Without the Wait

SSO via SAML and OIDC. GDPR and CCPA compliance. Audit logging with user attribution. Encryption at rest. Multi-tenancy.

MCP Ready

Integration as a tool in your AI stack

datathere exposes its capabilities through the Model Context Protocol. AI agents and LLM-powered workflows can create mappings, run transformations, and trigger pipeline jobs programmatically.

Integration becomes a capability inside your AI workflows — available wherever your agents operate.

MCP Tool Call
// AI agent creates a mapping
tool: "datathere.create_mapping"
// Parameters
"source": "partner_feed.csv",
"destination": "product_catalog",
"auto_certify": false
// 12 fields mapped, 3 transformations generated
// Awaiting human certification

Why datathere?

AI Data Mapping Tools: An Evaluation Guide

AI data mapping tools differ by where AI fits in the stack, how schemas are discovered, and what happens at runtime. Here is how to evaluate the category.

Read more

ETL vs ELT vs Reverse ETL: The Three Data Movement Patterns

ETL transforms before load. ELT loads raw and transforms inside the warehouse. Reverse ETL sends warehouse data back to SaaS. Here is how the patterns relate.

Read more

Universal Connectors vs Custom Connectors: What Actually Works

Pre-built universal connectors solve the connected-systems problem. AI-driven mapping solves the unknown-source problem. The two apply to different work.

Read more

Data integration fundamentals

AI Schema Mapping: How It Works

AI schema mapping infers the correspondence between source and destination fields from the data itself. Here is how the process works and what it replaces.

Read more

Multi-Source Analytics Pipelines: A Practical Guide

Multi-source analytics pipelines combine data from APIs, files, databases, and partners into a single model. Here is what the architecture requires and how it breaks.

Read more

The Certification Workflow: Why Mappings Need Review Before Production

Sending uncertified mappings to production is like deploying code without review. Certification validates configuration, locks it for production, and creates an audit trail.

Read more
Featured

iPaaS vs ETL: The Complete Guide to Data Integration Approaches

ETL moves database data. iPaaS connects SaaS apps. A practical comparison of four integration approaches plus the category built for unknown-schema data.

Read the guide Featured

AI Data Mapping and AI Integrations: The AI-First Approach

AI for the mapping, deterministic code for execution, human review in between. The separation is what makes AI-first integration production-grade.

Read the guide
The barrier to entry for production-grade data integration has never been lower.

Enterprise security, built in

SSO
SAML 2.0 & OIDC
GDPR/CCPA
Data subject requests
Audit Logging
User attribution & export
Encryption
Encryption at rest
Multi-Tenancy
Organization isolation

Start integrating.

Contact Sales