Thousands of transactions pass through your company every day. Deviatiq reviews every single one, flags the ones that don't add up, and gives your managers the clarity to act.
A mis-scan, a wrongly applied discount or account, a void that shouldn't have happened, a refund into the wrong card. Most of it looks like noise. Some of it isn't. Spread across thousands of transactions a day, small deviations turn into real losses, and the patterns behind them are almost impossible to spot by hand.
Billions of transactions processed each year — and a meaningful share contain an error or irregularity.
Shrinkage and internal fraud remains one of the largest controllable costs.
Manual audits catch a fraction of what's actually happening on the floor.
Deviatiq sits quietly on top of your existing data. Every transaction is analyzed anonymously, compared against learned patterns of normal behavior, and scored for risk. Nothing about the customer is stored. Nothing about honest staff is flagged. What you get back is a short, prioritized list of the transactions that genuinely deserve a second look — and the evidence to understand why.
Deviatiq integrates with your existing data and transaction logs. No new hardware on the floor, no changes to how your team works at the till or head office.
The model builds a picture of what normal looks like for your business — by store, by shift, by product category, by season. It adapts as your operations change.
Deviations surface in real time or as a scheduled report. Managers see what happened, where, and why it was flagged — and decide how to respond.
Fashion, beauty, grocery, specialty, hotels - anywhere high transaction volume meets tight margins.
Bank branches and financial services where high-value customer interactions meet operational efficiency, compliance, and service.
A 30-minute walkthrough with your own transaction volumes in mind. No commitment, no subscription required.
No. It makes them more effective. Your team can catch more suspicious transactions compared to before.
No. Analysis is anonymous by design. We look at transaction patterns, not customers.
Most clients are live within a few weeks, including the initial learning period.
The system is tuned to minimize false positives, and flags always come with context. The goal is clarity, not suspicion.
We integrate with major platforms on any operating system (iOS, Linux or Windows).
