CRO and CDMO Operations

Sponsor-ready study data, without the end-of-study reporting scramble

Scispot connects study samples, instrument results, QC, approvals, and sponsor deliverables in one governed, audit-ready workflow.

Study: 24-031. Study samples, QC, approvals, and deliverables share one record.

Trusted by 200+ life science labs

How this fits your study team's day

Sponsor samples and study requirements are ready before work starts: Study ready. Sponsor submission, sample manifest, methods, and deliverable template are linked.

Morning: Coordinator

Sponsor samples and study requirements are ready before work starts

Sponsor submissions, sample manifests, study protocols, methods, and deliverable templates are linked to the study record, so analysts start with complete context.

Instrument results are captured and checked on arrival: QC issue flagged. Out-of-spec values, missing data, and unsigned steps surface before sponsor review.

Midday: QC reviewer

Instrument results are captured and checked on arrival

Results flow directly from instruments into study records. Out-of-spec values, missing data, and unsigned steps are flagged before sponsor review.

Sponsor deliverables assemble from source: Report ready. Reports, data packages, and status updates come from approved records.

End of day: Project manager

Sponsor deliverables assemble from source

Reports, data packages, and study status updates are generated from approved records, with audit trails sponsors and auditors can follow.

Everything included, built around how contract labs deliver work

Keep the LIMS, ELN, QMS, and instrument systems that still work. Scispot connects them into one study workflow or provides native applications for samples, reporting, and sponsor delivery.

Ask What is still outstanding
before the sponsor asks.

Scibot can locate study records, summarize sample and QC status, surface unresolved deviations, and help project teams assemble the evidence behind a deliverable using your governed lab context.

It does not replace Quality judgment or study sign-off.
Meet Scibot
Scibot, the Scispot AI coworker
Flag Today's Failed Imports
Summarize this week's PacBio requests
Find run-118 raw files
Flag out-of-range results
Compare qPCR plate replicates
Plot potency assay curves
Flag Today's Failed Imports
Summarize this week's PacBio requests
Find run-118 raw files
Flag out-of-range results
Compare qPCR plate replicates
Plot potency assay curves

Why contract labs choose Scispot for study data

01

Data quality is built into execution

One preclinical CRO achieved 3× better data quality after replacing fragmented spreadsheets with a centralized, audit-ready system.

02

Less manual study administration

Automated workflows and real-time instrument integration helped the same CRO cut labor hours by 50%.

03

Study communication stays in context

A unified record of study activity replaces scattered emails, spreadsheets, and status requests across sponsors.

04

GLP and Part 11 validation support included

Scispot provides validation packages and helps define intended use, controls, test evidence, and traceability.

05

Specialists who understand contract research

You work with scientists, engineers, and compliance specialists with CRO experience, not only a software support queue.

Real-World Applications

Frequently asked questions

Can Scispot support our GLP studies?

Scispot supports controlled workflows, audit trails, e-signatures, and evidence aligned with GLP and ALCOA+ principles, and can be configured for 21 CFR Part 11-controlled steps. Your organization remains responsible for intended use, SOPs, validation decisions, training, and study approvals.

Can sponsors see their study progress?

Yes. Scispot can provide sponsors with governed access to study status, sample progress, and approved deliverables through portals or controlled APIs, so updates no longer depend on email threads and manual status reports.

Access boundaries and data-handling rules are defined with your team.

Can Scispot work with our existing LIMS, QMS, or instrument systems?

Yes. Scispot can operate across native and third-party systems through APIs and file-based integration. Keep the applications that work and connect study data, approvals, and reporting across them.

How does Scispot support system validation?

Depending on scope, Scispot provides validation packages and can support intended-use definition, risk assessment, IQ/OQ materials, test scripts, traceability, and change-impact evidence. Your Quality unit or validation partner retains ownership and approval.

Can we handle sponsor-specific requirements in one system?

Yes. Study templates, sample fields, methods, report formats, and approval paths can be configured per sponsor or program, while shared samples, instruments, and inventory stay managed in one place across your organization.

What labs say

Ally Hirsch, Scientist and Regulatory Technical Lead at Informuta.
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
Brett Stevens, Director of Translational Laboratory Research.
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
Dr. Onome Braimah, Head of Medical Affairs.
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
Emily Reister, Staff Laboratory Science Lead.
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
Software platforms manage tools. We manage outcomes.

Let's map your study workflow

Tell us where sponsor reporting slows down, where study data gets re-keyed, or where audit evidence is hardest to find.

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors