Bioprocessing Labs

Compare bioprocess runs sooner, with less manual data alignment.

Scispot’s Digital Brain connects reactor data, timepoint samples and downstream results. Automate supported imports and agreed calculations, then review run performance with the source evidence and calculation basis in view.
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Explore LabOS

Trusted by 200+ life science labs

Supporting 250+ instrument types, more than 1,000 experiments each month, and millions of samples across diagnostics, genomics, biotech, and regulated testing.

Your best fit

Built for fermentation, cell culture and process development teams.

Keep your controllers, historians and analytical tools. Start with one run comparison or sampling handoff where joining reactor data and offline results by hand consumes scientist time.

Map your bioprocess data flow
Features

Published Customer Outcomes

From process-run records to a reviewable comparison.

20%

Less planning time between runs

Scispot helped a peptide team cut planning time between runs.

40%

Less time creating cross-team requests

Scispot helped a peptide team reduce time creating cross-team requests.

Up to 50%

Less manual reporting and admin

Scispot helped labs reduce manual reporting and lab administration work.

10h → <1h

Shorter data-processing time

Scispot cut one labs workflow’s processing time below one hour.

One system, three layers

One Digital Brain across runs, samples and downstream performance.

Set Up Runs & Sampling Work

Build run records from process versions, reactors, organisms or cell lines, inoculum and material lots. Define sampling tasks and required fields before execution.

Record actual additions, observations and completed work separately from the plan. Surface missing setup details and assigned tasks, carrying the same run identity into reactor files and offline results.

Import Data & Calculate Results

Import supported controller, historian and analytical outputs through defined mappings. Link offline results to samples, timestamps, elapsed process time, methods, units and preparation records.

Smart Actions prepares agreed calculations and aligned views for approval before commitment. Route conflicts, distinguishing uncollected timepoints from failed imports and setpoints from measured values.

Review Harvests, Pools & Comparisons

Track harvests through downstream steps, fractions and pools. Prepare defined yield or recovery calculations from captured volumes, concentrations and methods, retaining source inputs.

Assemble reviewed run and analytical evidence with deviations, material differences and calculation assumptions. Scientists judge the comparison and next process experiment; receiving teams retain the supporting package.

One connected operating layer

Bring the comparison together before the next development decision.

Import agreed sources, align samples, prepare configured calculations and route gaps. Your process team reviews the run and downstream evidence together instead of assembling separate files.

Ask what differs between runs.
Inspect the supporting records.

Bring reactor and analytical evidence into the same answer.

Meet Scibot
Scibot, the Scispot AI coworker
Which runs used this feed lot?
Find samples missing an offline result.
Compare these runs at matching elapsed times.
Trace this pool to its harvest and reactor.
Show recorded deviations before harvest.
Summarize changes between these process versions.
Which runs used this feed lot?
Find samples missing an offline result.
Compare these runs at matching elapsed times.
Trace this pool to its harvest and reactor.
Show recorded deviations before harvest.
Summarize changes between these process versions.
AI-native lab transformation

Practical tools from sampling to your next process comparison.

Run Apps for Your Team

Jazz provides personalized run, sampling and review screens on shared Scispot data. See due samples, missing results and open actions beside reactor and material records.

Reactor and Assay Data Flow

GLUE imports supported controller and analytical outputs. Map run and sample identities, time, units and methods so online and offline records can be reviewed together.

Configured Calculations with Source Inputs

Smart Actions prepares agreed calculations and checks. Preview outputs before approval, retain units and source inputs, and flag missing values before using the comparison.

Scientists and Engineers for Activation

Our scientists and engineers connect agreed sources, configure calculations, test gaps and train users. Measure preparation time and improve the first run-to-result workflow with your team.

Automate the preparation behind useful bioprocess comparisons.

01

Parallel Process Development

Prepare comparable run views without repeatedly aligning exports by hand.

Set up parallel runs with process versions, starting materials and planned conditions. Import supported reactor and offline assay data, aligning identifiers, units and elapsed process time through defined mappings.

Route gaps and inconsistent records to owners. Scientists review actual execution, sampling and method differences before attributing performance to a condition. Retain the comparison and its basis.

Explore process comparison workflows

02

Sampling and Offline Analysis

Turn a sampling plan into assigned work and matched analytical results.

Assign sampling tasks with reactors, planned timepoints, required fields and assays. Staff record collection and actual elapsed time in a personalized screen; sample identity carries into the analytical request.

Match supported results and flag late, missing or conflicting records. Scientists distinguish collected timepoints from outstanding analyses, with method and source links available to resolve gaps before comparison.

Explore bioprocess sampling workflows

03

Harvest to Purification Evidence

Prepare recovery calculations from the recorded harvest, fractions, and pools.

Record harvests and the downstream steps consuming them. Carry material identity into fractions and pools, collecting volumes, assay results, methods and sample-preparation details within the agreed workflow.

Smart Actions prepares defined yield or recovery calculations. Review inputs and outputs before acceptance; retain upstream and analytical evidence for pool comparisons, transfer packages and the next development condition.

Explore harvest and pool traceability

Remove the manual data work before your next run comparison.

Bring one reactor run, sampling plan and comparison. Our scientists and engineers will scope sources, calculations and review around current systems, then measure preparation effort.
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FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

Frequently asked questions

What does Scispot manage for bioprocess development?

Scispot’s Digital Brain connects run and material setup, sampling tasks, supported imports, configured calculations and review. Reactor history, offline assays and downstream outputs share one workflow, with personalized apps alongside existing controllers and analytical tools. This page covers run execution and comparison; SynBio & Bioprocessing covers strain-design programs.

Can we connect existing bioreactor and analytical systems?

Yes. Scope controller or historian exports, instrument files, APIs and source metadata. Map supported data to reactors, runs and samples while defining update frequency, retention, transformations, access and exports. Existing systems keep their agreed roles. Instrument controllers still operate the process; connecting data does not itself add physical process control.

How are offline results matched to the right process timepoint?

Link each collected sample to its reactor run, timestamp and elapsed process time. Match incoming results through the agreed sample identifier, retaining method, units and preparation details. Route missing or conflicting identifiers for review, giving scientists the context to place offline measurements beside reactor history.

How do we implement the first bioprocess workflow?

Choose one run-to-comparison or sampling workflow. Our scientists and engineers map sources, sample identities, timing, calculations and review, then configure, test representative runs and gaps, and train users. Your process team defines the comparison basis and approves the method. Measure preparation and use before expanding scales, versions or sites.

How does Scispot support process records used in a quality system?

Scispot supports permissions, audit history, controlled review, electronic signatures and source-linked records. Trust Vault organizes evidence and agreed validation scope. Exploratory and regulated uses differ. Your Quality organization defines procedures, controls and intended-use validation, retaining approval of changes and regulated disposition decisions.

Process evidence that stays connected as the workflow develops.

Keep source records, controlled changes, review history and validation evidence connected. Your team defines intended use, approves methods and retains scientific and Quality decisions for regulated work.