
Turn messy results into governed reporting.
Reconcile different data, then produce the final report from one connected workflow.
Jazz turns the custom work between your data, systems, and people into purpose-built software on Scispot, so the work gets done consistently and scales with your lab.
Trusted by 200+ life science labs





















The work unique to your lab often happens between systems, in spreadsheets, files, scripts, email, approvals, and hand-built reports.
Instrument exports, partner files, spreadsheets, and system data arrive with different structures, names, and units.
Teams transform, calculate, reconcile, and stitch data together outside the system of record.
Exceptions, reviews, and next steps move through email and one-off coordination, making status hard to track.
Teams repeatedly assemble data, context, evidence, and decisions into the same reports.
Built around your process without forcing a re-platform.
Transform, validate, calculate, route, approve, report, and notify.
Captures how work gets done so your team stays consistent.
Jazz Tracks are focused apps built around the rules, exceptions, approvals, and data that make your lab’s workflow unique, all connected to the same governed Scispot system underneath.

Reconcile different data, then produce the final report from one connected workflow.

Trace samples, surface QC failures, review runs, and approve clean results in bulk.

Scan incoming reagents, capture lot and expiry data, handle receiving exceptions, and sync approved records with ERP.

Track run status, sampling schedules, process data, and operator actions throughout the fermentation workflow.
Start with a library of hundreds of Jazz Pack templates built around real lab workflows. We find the right starting point, adapt it to how your team works, connect it to your systems, and get you live.
We map your workflow to the closest Jazz Tracks in our library.
Adapt the fields, rules, approvals, and steps to fit how your lab actually works.
Connect your Jazz Track to Scispot, your data, instruments, and existing systems.
Validate with your team, launch the workflow, and keep refining it as your lab evolves.


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