From raw export to signed record. One controlled system.
Every candidate model. Every analyte. One field of view.
The interface is structured for evidence, not decoration. Review calibration points, compare model performance, verify the ICV and accept the simplest passing model without leaving the record.
Source integrity first. Approval last.
Instrument software fits a calibration curve with no independent check on its own output. WLTR provides that check. It ingests your raw instrument data, independently verifies the result, computes every candidate model, and shows them side by side in the Calibration Intelligence dashboard, with multi-analyte visibility. The system runs the diagnostics and identifies the best fit curve. Your analyst makes the final decision. The result is faster review, stronger data integrity, and traceable, defensible results for every audit.
The record starts at the raw text — and is never retyped.
- Raw instrument text parsed and hashed at upload
- Run-type aware — an ICV can never silently enter a curve
- An immutable source record behind every reported number
app.wltr.io / upload-run
Every candidate model. Every analyte. One view.
Evaluate every candidate model for every analyte against 15 acceptance criteria, with simultaneous overlays — point-level %Diff, model fit and ICV recovery — without rebuilding the curve by hand.
- All candidate models computed simultaneously, server-side
- Every level scored against the active threshold
- The simplest passing model is recommended
app.wltr.io / calibration-intelligence / curves
Whole-group visibility. Nothing slips through.
- Whole-group computation across all analytes
- Per-analyte pass/fail triage on one screen
- Aliases resolved once, matched automatically after
app.wltr.io / analyte-mapping
Audit-ready output for any inspection.
- Readiness validations gate every compute
- Method config frozen — historical results never move
- Role-separated QA approval with a named signature
app.wltr.io / calibration-groups
Try it yourself
See what a passing r² can hide in your own calibration.
Enter a curve, or load a sample, and see which levels actually back-calculate inside your acceptance window. Then work through a simulated LC-MS/MS quantitation review, laid out the way your data system shows it.
This tool does not run WLTR's engine, patented methodology or evaluation criteria. It applies eight standard least-squares calibration models and textbook acceptance rules. The batch and chromatograms are fictional. Everything is calculated in your browser, and nothing you enter is sent or stored.
| # | Concentration | Response |
|---|
Response can be a peak area or an area ratio to the internal standard. You can paste two columns straight from a spreadsheet into any cell.
- r²
- -
- Levels in window
- -
Each bar is a level's error after back-calculation. The shaded band is your acceptance window.
| Model | r | r² | Adj. r² | Levels in window | Worst error | Status |
|---|
This check fits one analyte with eight textbook models. A real WLTR review covers every analyte in the batch with a far deeper evaluation, side by side.
| Sample | Exp. conc. | Area | IS area | Area ratio | Calc. conc. | Accuracy | Result | Used |
|---|
| Model | r² | Adj. r² | Standards passing | Worst error | Simulation |
|---|
Acceptance in this simulation follows the textbook bioanalytical rule (as in ICH M10): each standard within ±15% of nominal, ±20% at the LLOQ, with at least 75% of standards and a minimum of six levels meeting it. A standard that fails may be excluded with a recorded reason, and the curve is refit. In a validated method the model and weighting are normally set during validation; comparing every candidate side by side is how that choice is justified and checked. WLTR's real evaluation is more extensive and is not shown here. Your analyst always makes the final decision.
Every compound reviewed, every decision recorded.
That was a simulation on fictional data. See the real platform on a representative export from your own instruments.
Simulation for illustration only. Sample datasets, the batch, chromatograms and names are fictional. Results on this page are not WLTR output, are not a method validation, and should not be used to accept or reject laboratory data.
From source text to signed record.
Seven steps replace the fragmented spreadsheet stage without pretending laboratory judgment can be automated out of existence.
Configure the laboratory
Upload calibration and ICV runs
Resolve analyte mappings
Build the calibration group
Compute all candidate models
Generate the candidate models for each analyte and evaluate every level against the active criteria.
Generate the evidence record
Package selected models, exclusions, ICV performance and method context into a consistent report.
Route to QA approval
Complete role-separated review with a named approver and permanent audit timeline.
No rip-and-replace. No new instrument software.
WLTR works from the exports your instruments already produce and returns records your QA process already expects.
Works with your instruments
GC, LC and IC systems — GC/MS, LC-MS/MS, ion chromatography — WLTR ingests the text exports they already generate. No drivers, no firmware, no vendor lock.
Alongside your LIMS
The verification layer sits between instrument and LIMS/ELN — verified records flow into the systems of record you already trust.
Inside your SOPs
Acceptance criteria, roles and approval gates are configured to your methods — the platform enforces your SOP, it does not replace it.
Watch your own data move through the layer.
Bring a representative instrument export to a 30-minute session and see the full path — source record, candidate models, ICV verification, exceptions, approval trail.