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Enterprise Data Cleansing and Integration Platform

CLEANSYNC FUSIONCORE VERSION 3.0

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CleanSync validation dataset preview

Building certified data from messy sources

CleanSync FusionCore version 3.0 helps organizations connect, validate, cleanse, harmonize, and certify data across operational sources, files, APIs, and statistical datasets.

The platform combines ingestion, profiling, configurable validation rules, AI-assisted correction, human-in-the-loop review, lineage, audit logging, and certified output into one governed workflow.

It is built for teams that need reliable data quality control before analysis, exchange, publication, or downstream system integration.

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Integrate your data quality lifecycle with

25+ Data Sources
AI Quality Assist
DQ Certified Output
CleanSync validation center preview

Validate data quality before it moves forward

Detect invalid formats, out-of-range values, missing fields, cross-field conflicts, duplicate patterns, and rule violations across source datasets.

CleanSync cleansing review preview

Review AI suggestions with human control

Route flagged records into review queues, compare raw and suggested values, apply corrections, record decisions, and preserve reviewer notes.

CleanSync validation rules preview

Govern rules, lineage, and certified output

Manage configurable validation rules, metadata, versioned snapshots, state transitions, role access, audit trails, and exchange-ready certified datasets.

Use case

Enterprise data quality control for cross-agency integration and certified exchange

Project background

Organizations collect data from multiple agencies, legacy systems, files, APIs, and operational databases with different structures and quality standards.

Challenge

Teams must detect quality issues, normalize fields, resolve schema conflicts, document corrections, and keep data lineage visible across every processing state.

Objective

Provide a single governed platform for ingestion, validation, cleansing review, harmonization, certification, and integration monitoring.

Small CleanSync validation rules preview Small CleanSync review queue preview
CleanSync validation workflow preview

Our Approach

  • Connect SQL, file, and API sources with profiling, scheduling, and ingestion monitoring.
  • Run configurable validation rules for type, format, range, mandatory fields, and cross-field logic.
  • Use AI-assisted anomaly detection, similarity matching, correction suggestions, and imputation.
  • Maintain metadata catalog, lineage, state transitions, audit logs, and role-based review decisions.

Guiding You Towards AI Solutions for Maximum Impact

Because that’s what we do.

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