Case studies

How instrument readiness shows up in real workflows.

Representative workflow scenarios drawn from the problems labs bring to ZdefLabs—what was unclear, what got measured, and what changed.

Zigital AIMulti-site screening group · 40+ instruments

Turning scattered instrument logs into one readiness view

Challenge: Liquid handlers, readers, and movers each wrote logs in their own format. Nobody could answer whether the fleet was ready before an overnight agentic run started.
Approach: Pulse collected telemetry from every instrument, Hub normalized it into one timeline, and Agent interpreted error patterns and flagged drifting stations for review.
Outcome: Run planning now begins with a readiness check instead of a guess, and repeat error signatures are grouped and triaged rather than rediscovered each week.

One timeline

Fleet-wide telemetry

Pre-run

Readiness verified

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LabBoxZeroAssay development lab · 96-channel head

Proving Z-axis and tip contact instead of inferring it

Challenge: Edge-well variability appeared in results, but the team had no measured evidence of tip contact or head planarity — only a pass/fail service visit each year.
Approach: A LabBoxZero plate in standard SBS format measured contact across all 96 channels, mapping planarity and Z-axis behavior into NIST-traceable records.
Outcome: Planarity issues became a measurement anyone could re-run, and calibration records attach to the assay instead of living in a service report.

96 channels

Contact mapped

Traceable

NIST records

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Zarallel + ZinertiaAutomated workcell · robotic plate transport

Giving every plate handoff a journey record

Challenge: Intermittent spills and unexplained failures pointed somewhere between stations, but nothing in the workcell recorded what happened during transport.
Approach: Zarallel tracked levelness and tilt at each station while Zinertia captured force, vibration, and motion during grips, placements, and transfers.
Outcome: Handoffs outside limits can be identified by station and timestamp, so engineering tunes the offending step instead of re-running the whole workflow.

Per station

Tilt tracked

Per handoff

Force + motion

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Note on these scenarios

Grounded in lab practice, not customer promises.

These scenarios describe the workflows our products are built for and the stage each product is at today. Talk with us about pilot data for your own instruments.

See what these measurements would show in your lab

Talk with ZdefLabs about pilots, integrations, and instrument-readiness data for your lab.

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