CROs & Service Labs

Deliver client reports faster from sample to sign-off.

Build your lab’s Digital Brain across studies, instruments and review. Automate data handling, analysis and report preparation around the tools you use.
Book a consultation
Explore LabOS

Trusted by 200+ life science labs

Your best fit

Built for CROs and regulated service labs.

Cut copying, status chasing and report assembly. Keep the systems that work and start with one service line.

Map your study workflow
Features

Published Customer Outcomes

Reduce the manual work between accepted studies, reviewed results and client delivery.

50%

Less time spent on reporting

Put reporting hours back into lab work. We helped a preclinical CRO cut weekly reporting time from 20 hours to 10 with automated reporting and connected records.

5%

More predictable study delivery

Measure the share of studies delivered by the agreed date, using comparable service types and a defined baseline.

< 1 hr

Shorter report preparation

Measure active report-preparation time from reviewed data to client-ready output, separately from scientific review and approval waiting time.

KCAS Bio × Scispot

Digital transformation built for growth.

Todd Pankratz, Vice President, Mass Spectrometry Bioanalysis at KCAS Bio

Todd Pankratz

Vice President, Mass Spectrometry Bioanalysis

“We see Scispot as an execution partner in that transformation, helping us automate high-value workflows, reduce manual effort, and create capacity without simply adding resources.”
One system, three layers

One Digital Brain turns client requirements into reviewed deliverables.

Client Requests & Bench Readiness

Capture scope, samples, methods and reporting needs once. Check readiness, assign missing information and link scope changes to affected samples before work reaches the bench.

Instrument Data & Analyst Execution

Connect supported instrument data through GLUE, run agreed calculations with Smart Actions and manage analyst queues in Jazz. Keep source files, methods, sample history and QC context linked. Resolve exceptions and reconcile unmapped runs before assessing capacity.

Review, Reports & Client Delivery

Prepare reports from reviewed results and agreed templates. Route missing evidence and reviewer tasks, then release through authorized sign-off. Keep issued reports linked to source data and approval history.

One connected operating layer

The next client report should take less chasing.

Turn completed runs into calculations, review tasks and report drafts. Keep owners and exceptions visible.

Ask what is holding up delivery.
Prepare the next update.

Answer client and operations questions from connected study evidence.

Meet Scibot
Scibot, the Scispot AI coworker
Which studies are waiting on result review?
Draft an update for this client study
Which samples are missing run results?
Compare recorded turnaround by service line
Show repeat runs without a study link
Find the evidence behind this report
Which studies are waiting on result review?
Draft an update for this client study
Which samples are missing run results?
Compare recorded turnaround by service line
Show repeat runs without a study link
Find the evidence behind this report
AI-native lab transformation

Software, integrations and experts focused on client delivery.

Study Records That Drive Work

Link client commitments, samples, methods and review states in Labsheets. Assign work, check readiness and prepare reports from the same records.

Instrument-to-Result Automation

GLUE captures supported instrument and partner outputs. Smart Actions runs agreed calculations while retaining source data and review state.

Adaptable Analyst & Review Apps

Give analysts, study managers and reviewers personalized Jazz queues on shared data. Configure tasks and required fields for each service line.

Scientific Experts Through Adoption

Our scientists and engineers connect systems, configure controls and test real work. We train your team, measure adoption and improve the agreed workflow.

Remove the manual work between a request and its deliverable.

01 / 03

01

Client Request to Bench Queue

Move accepted studies into ready-to-run work.

Check the manifest, receipt conditions, sample details and methods against the accepted scope. Assign missing information before bench work starts.

Jazz gives analysts a shared receiving screen and work queue, while study managers track readiness.

Explore request-to-study workflows

02

Reviewed Results to Client Report

Build client reports from reviewed evidence.

Use agreed templates to assemble reviewed results, calculations and method references. Flag missing evidence before final approval.

Release through authorized review and retain the issued version with source links. Track preparation time separately from review waiting.

Explore controlled client reporting

03

Instrument Activity to Capacity Decisions

Connect instrument use to study demand.

Compare planned and recorded activity, including repeats and maintenance. Reconcile unmapped runs before interpreting utilization.

Apply agreed revenue and cost rules where commercial inputs exist. Instrument hours alone do not establish profitability.

Explore instrument activity mapping

Frequently asked questions

Which CROs and service labs are the strongest fit?

Best suited to labs where multiple instruments, service lines or sites create costly handoffs. Start with manual data handling, slow reporting or missing study evidence. Keep shared client, study and sample records while methods and review paths vary by team.

Can Scispot work with our existing LIMS and client systems?

Yes. Use native apps or connect your existing LIMS, ELN, QMS and business tools. GLUE links supported outputs to the right studies and samples. Scope data, processing and access needs for each connection; retain access to your records and exports.

What do we buy, and how does the first workflow go live?

Your subscription includes software, integrations and expert delivery, with unlimited users within agreed scope. We map, configure and test one workflow, then train users and measure adoption. Agree validation responsibilities and a delivery baseline before rollout.

Can each service line have its own analyst and review experience?

Yes. Jazz provides role-specific screens on shared data. Configure methods, fields and queues by service line while retaining common study IDs and access rules. Set client-sharing and report approvals around each person’s permitted records and actions.

How does Scispot support GLP and controlled CRO workflows?

Permissions, audit trails, electronic signatures and review gates support controlled records. Users approve Smart Actions changes before saving. Trust Vault organizes evidence, and Scispot can support scoped testing. Your Quality team defines requirements and owns validation decisions and regulated sign-off.

Build the evidence into each study’s work.

Capture source data, changes, calculations and approvals as work happens. Your Quality team defines requirements, approves intended use and retains regulated sign-off.

Show us the handoff delaying your next client report.

Bring one service workflow and an example report. We’ll map the handoffs and define the first useful automation, its owners and a delivery measure.
Book a free consultation

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors