Solutions · Data Integrity
WLTR keeps the original instrument export, verifies the result independently, and ties every action to a named person. When a decision is questioned later, the answer is already in the record.
The problem
Traditional calibration review depends on analyst judgment, disconnected spreadsheets and inconsistent evaluation criteria. That introduces variability, slows review cycles and creates risk when decisions must be justified later.
The model is chosen by whoever processed the batch, against criteria that shift from analyst to analyst.
Results are retyped, recalculated and emailed. The link back to the raw export breaks a little more at every step.
Months later, nobody can say who excluded a standard, or why. The record cannot answer for itself.
With WLTR
The same verification logic applies to every calibration, across all methods, analytes and datasets.
Results no longer rest on individual interpretation, so review reads the same from any seat in the lab.
Outcomes follow structured mathematical rules, not judgment calls made under deadline.
Repeated manual checks disappear, and review time goes to the exceptions that deserve it.
Every outcome carries the logic behind it, from raw export to approved result.
The record is defensible the day the auditor arrives, not after a week of reconstruction.
See it work
WLTR records a SHA-256 fingerprint of the original instrument export at upload. Edit any peak area below and watch the fingerprint stop matching. Every value traces back to source text that cannot be altered without detection.
| Level | Nominal (ng/mL) | Peak area |
|---|---|---|
| STD 1 | 1.00 | |
| STD 2 | 2.00 | |
| STD 3 | 5.00 | |
| STD 4 | 20.0 | |
| STD 5 | 100 | |
| STD 6 | 500 |
calculating…calculating…One verification layer
Each solution is one view of the same verification layer. Together they turn raw instrument output into a verified, traceable, QA-approved calibration record.
We find operational inefficiencies & design the systems that eliminate it.