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Data integration

Move data with context.
Land it ready to use.

Extract, transform, validate, and load structured and unstructured information across operational systems, analytics, files, and cloud data stores.

Representative Zaptiva intelligent data extraction workflow
Workflow concept for data integration
THE OPERATING REALITY

Moving data is only half the job.

Real information arrives with inconsistent formats, missing context, duplicate records, and changing schemas. Zaptiva handles the messy middle so downstream systems receive data they can trust.

CAPABILITIES

Everything the flow needs to hold together.

Designed around the full process—not a single isolated task.

Flexible ingestion

Bring in APIs, databases, CSV, JSON, XLSX, email, PDFs, images, and scans.

AI-assisted extraction

Classify documents and extract relevant fields from unstructured sources.

Contextual transformation

Map, reshape, calculate, enrich, and standardize data before it lands.

Validation rules

Check required values, relationships, formats, and business conditions.

Adaptive delivery

Handle batch, real-time, and change-only movement as the process requires.

Traceable lineage

Follow a record through each transformation and downstream action.

Inside the workspace

Data integration,
made visible.

This page-specific operating view brings the workflow, its owners, and its outcomes into one clear workspace.

Cleanerdata at the destinationLessmanual preparationFasterdownstream decisions
Data integration · Production flowHealthy
LIVE WORKSPACE

Move data with context.

Last run · complete
1Extract
2Understand
3Transform
✓Load and act
CapabilityOwnerStatus
Flexible ingestionSystemsReady
AI-assisted extractionOperationsReady
Contextual transformationSystemsReview
Validation rulesOperationsReady
HOW IT MOVES

A visible path from input to outcome.

Each step stays traceable, recoverable, and owned.

STEP 01SOURCE READY

Extract

Collect structured and unstructured sources without forcing one format.

Capture→
STEP 02CONTEXT SET

Understand

Classify content, detect context, and identify the fields that matter.

Interpret→
STEP 03RULES PASSED

Transform

Standardize, deduplicate, validate, and enrich the record.

Govern→
STEP 04DELIVERED

Load and act

Deliver clean data and trigger the next operational workflow.

Activate✓
Designed for outcomes

Automation your team can see, trust, and improve.

Cleanerdata at the destination
Lessmanual preparation
Fasterdownstream decisions
Common starting points

Pick one process.
Build a reusable foundation.

Financial data pipelinesDocument-to-ERP ingestionCRM data qualitySpreadsheet consolidationMaster-data synchronizationAnalytics preparation
QUESTIONS, ANSWERED

What teams usually ask.

Clear guidance for evaluating fit, scope, ownership, and the path to production.

Does Zaptiva support both ETL and operational workflows?+

Yes. A flow can prepare data for a destination and continue into approvals, alerts, transactions, or another business process.

Can it process documents and images?+

AI-enhanced nodes can classify and extract information from PDFs, email, images, scans, and other unstructured sources.

How are schema changes handled?+

Flows can detect changes, validate expected structures, surface exceptions, and apply or recommend updated mappings.

Start with the friction

Ready to put data integration into motion?

Bring us one stubborn workflow. We’ll show you a practical way forward.

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