Applied AI & Data Solutions · Data Reconciliation & Intelligence

When your data
doesn't add up.

Reports that don't match, records that go missing, an integration that quietly fails. We find where your systems disagree and why, then make your data-heavy products dependable.

The problem
Every decision built on unreliable data inherits its errors.
When sources disagree, teams lose hours reconciling by hand, and nobody can say with confidence which number is right. The cost shows up later as wrong reports, failed integrations and customers who stop trusting the product.
What you get
Data your team can rely on, and a trail behind every result.
  • Data quality checks: catch missing fields, wrong formats, out-of-date timestamps and duplicate records before your users do.
  • Cross-system checks: spot where your systems disagree, and why.
  • Confidence you can trust: test whether your matching or confidence scores are actually right, against real outcomes.
  • Monitoring and audit trails: flag data feeds that arrive late or incomplete, and see exactly where any result came from.
Data qualityReconciliationConfidence checksMonitoring
How we deliver it
Your data, your rules, under contract.
We start from the decisions your data has to support, find where it breaks, and fix it at the source rather than patching reports. AI helps sift the noise, grouping related issues and flagging what looks unusual; your team still reviews and decides. Client data never enters Synternex's own platform automatically.
Human in the loopContracted data controls
Why Synternex
We solve this problem every day in our own product.
Kerbie has to give a driver one clear answer they can act on, at the kerb, every time. That is the discipline we bring to your data.
Data you can't trust? Tell us what's going wrong.
Fix Your Data →