Data Integrity & Trust

Transform Dirty Data into Trusted Intelligence

The industry's most comprehensive data validation platform. Unify, validate, and trust your manufacturing data across every system and sensor.

Bad Data Costs Fortune 500 Manufacturers $3.1 Trillion Annually

While competitors offer band-aid solutions, SplintAI provides the cure: AI-powered validation that creates a single source of truth.

Inaccurate Counts

Sensor miscounts and operator errors create inventory nightmares and financial discrepancies

Wrong Downtime Codes

Miscategorized downtime hides real problems and skews efficiency calculations by 20-30%

System Disconnects

ERP says one thing, production system says another - which do you trust?

Comprehensive Solution

Everything You Need to Trust Your Data

A complete toolkit for data validation, correction, and control

Manual Data Correction

Fix incorrect production counts, downtime reasons, and quality data in real-time with supervisor approval workflows

ERP Integration

Direct integration with SAP, Oracle, Microsoft Dynamics, and other ERP systems for automated data validation

File Import & Export

Upload CSV/Excel files for batch data corrections and export validated data for reporting

Audit Trail

Complete change tracking with timestamps, user identification, and reason codes for compliance

Approval Workflows

Multi-level approval processes for data modifications with role-based permissions

Confidence Scoring

Visual indicators showing data reliability with automatic flagging of anomalies

How It Works

Simple 4-Step Validation Process

From detection to resolution in minutes, not days

1

Identify Issues

AI automatically detects data anomalies and inconsistencies across your systems

2

Review & Correct

Operators and supervisors review flagged data and make corrections as needed

3

Approve Changes

Supervisors approve critical changes with full audit trail documentation

4

Sync & Validate

Changes sync back to your ERP and other systems with validation confirmation

Real-World Impact

Common Data Problems We Solve

See how manufacturers are fixing their data integrity issues

Production Count Discrepancies

Source: Manual
Last Validated: Today

Problem

Operator entered 1,000 units but sensor shows 10,000

Solution

Manual override with reason code and supervisor approval

Impact

Accurate inventory and financial reporting

Downtime Categorization

Source: Manual
Last Validated: Today

Problem

System logged 'unplanned' but it was scheduled maintenance

Solution

Reclassify with proper codes and update historical data

Impact

Correct efficiency calculations and maintenance metrics

Labor Hour Validation

Source: Manual
Last Validated: Today

Problem

Payroll shows different hours than production system

Solution

Sync with Paylocity/ADP and reconcile differences

Impact

Accurate labor cost calculations

Seamless Integration

Connects With Your Existing Systems

No rip-and-replace needed. We work with what you have.

SAP
Oracle
Microsoft Dynamics
NetSuite
Paylocity
ADP
Workday
QuickBooks
Wonderware
Rockwell
Siemens
ABB
Trust & Transparency

Validation Reports

Daily and weekly reports show confidence scores, source mix, and unresolved exceptions.

Confidence Scoring

0–100% confidence with anomaly flags and rationale.

Source Transparency

Manual vs automated data clearly labeled and auditable.

Exception Tracking

Open corrections with owners, due dates, and approvals.

Ready for Data You Can Actually Trust?

Join industry leaders who've eliminated data quality issues and unlocked millions in operational savings with SplintAI's intelligent validation platform.

Enterprise pricing • SOC 2 Type II certified • Deploy in days, not months