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Last-mile workflows for life science operations

Automate The Last Mile Your Lab Software Cannot Reach.

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+ labs at:
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The Challenge

Core systems handle the standard path.
The last mile is still manual

The work unique to your lab often happens between systems—in spreadsheets, files, scripts, email, approvals, and hand-built reports.

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What Jazz Delivers

Purpose-built software for the last mile.

User
Adapts to your workflow
Built around your process without forcing a re-platform.
Lightning
Automates the work
Transform, validate, calculate, route, approve, report, and notify.
Shield
Keeps the knowledge
Captures how work gets done so your team stays consistent.
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Popular Jazz Tracks

Start with the workflow slowing you down.

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.

CRO Results App
01
Turn messy results into governed reporting.
Reconcile different data—then produce the final report from one connected workflow.
PCR Sample Console
02
Review runs and approve clean results.
Trace samples, surface QC failures, review runs, and approve clean results in bulk.
Inventory Receiving App
03
Receive reagents with traceability from day one.
Scan incoming reagents, capture lot and expiry data, handle receiving exceptions, and sync approved records with ERP.
Fermentation Run App
04
Run fermentation with complete process control.
Track run status, sampling schedules, process data, and operator actions throughout the fermentation workflow.
Work

How Jazz Works

Data in. Decisions out.
The last mile solved.

01
Data & Systems
- LIMS & ELN
- Instruments
- QC platforms
- Files & email
- External systems
02
Harmonized Lab Data
Harmonized · Governed · Connected · Traceable
03
Jazz Last-Mile Workflow
- Transform & enrich
- Apply rules & calculations
- Route work & approvals
- Report & notify
04
Outcomes
- Faster turnaround
- Fewer manual steps
- Full traceability
- Consistent execution
- Better decisions
Work

How Jazz Fit Your Workflow

Hundreds of Jazz Tracks.
Personalized for Your Lab.

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.

01
Find Your Fit
We map your workflow to the closest Jazz Tracks in our library.
02
Make It Yours
Adapt the fields, rules, approvals, and steps to fit how your lab actually works.
03
Connect Your Stack
Connect your Jazz Track to Scispot, your data, instruments, and existing systems.
04
Go Live
Validate with your team, launch the workflow, and keep refining it as your lab evolves.
YOUR SCISPOT POD
Product Specialist • Solution Engineer • Implementation / CS • Quality SMEs (as needed)
AI Colleagues
Human Colleagues
WHAT TEAMS ARE SAYING ABOUT US

Chosen by Labs That Set the Standard

Scispot stayed close to the technical details and extended label printing across our device environment. That makes the clinical workflow easier for the team to use and showed that the delivery team would stay with the practical issues that matter in day-to-day operations.
Ally Hirsch
Scientist & Regulatory Technical Lead
Our team was spending too much time on sample tracking and spreadsheet gymnastics instead of the science. Scispot is becoming the single place we can answer what happened to a sample, from intake through capture, libraries, and sequencing.
Brett Stevens
Director of Translational Laboratory Research
Scispot gave our Medical Affairs team a practical way to collect PHI-aware patient submissions and test requests while keeping the lab workflow connected to Sample Manager
Dr. Onome Braimah
Head Medical Affairs
Our team needed a system that allowed for more flexibility while keeping data for our sample intake and processing current. Scispot worked closely with us through recurring sessions to shape a more manageable system using custom automations and also determine best next steps for workflow improvement.
Emily Reister, PhD
Staff Laboratory Science Lead

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