SynBio & Bioprocessing

Move promising strains into development with less data preparation.

Build a Digital Brain for strain and process development. Automate data capture and agreed analysis while carrying design history, culture conditions and reviewed evidence between engineering, analytics and process teams.
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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 SynBio teams moving engineered strains toward scalable processes.

SynBio and industrial biotech teams lose time assembling development evidence across separate records. Our scientists and engineers help automate one strain-to-assay or transfer handoff around your existing tools and methods.

Map your strain-to-process workflow
Features

Published Customer Outcomes

Find, compare and carry development evidence forward.

60%

Less time from experiment to insight

Helped one UK industrial biotech cut experiment-to-insight time.

95%

Accuracy in R&D data aggregation

Helped one UK industrial biotech achieve accurate, standardized R&D datasets.

20%

Less planning time between process runs

Helped a peptide team cut planning time between runs.

40%

Less time creating cross-team requests

Helped a peptide team reduce time creating cross-team requests.

One system, three layers

One Digital Brain carries strain evidence into the next development step.

Design History & Testable Strains

Link design references, parent strains and clones to the stored material selected for testing. Record the design version, host background and planned measurements, carrying strain and stock identity into the experiment.

Check required lineage and material fields before testing. Design files can stay in specialist tools while the experimental record preserves the version that produced the material.

Cultivation Data & Phenotype Analysis

GLUE brings supported culture and analytical outputs into strain, sample and study records. Smart Actions runs agreed growth or product calculations for review, retaining units, methods and source files.

Preserve scale, culture conditions and calculation bases. Plate screens, flask studies and reactor runs provide different evidence; scientists judge comparability and decide the next development step.

Development Decisions & Transfer Work

Prepare selected strain evidence, process versions, material requirements and methods for review. Identify missing inputs and assign open questions before a development or partner handoff.

Record the decision and retain the shared package. Scientists and receiving partners control which strain or process advances, process qualification and intended execution requirements.

One connected operating layer

Carry the learning forward without rebuilding the record.

Capture data, run agreed calculations and prepare evidence with the tested strain, conditions and methods attached, so the next team can carry the learning into development.

Ask what changed.
Prepare evidence for the next run.

Find strain history, culture results and recorded development decisions.

Meet Scibot
Scibot, the Scispot AI coworker
Which strain version produced this result?
Compare recorded titer under matched conditions
Find designs missing reviewed phenotype data
Draft a summary of these process changes
Show open questions for this transfer
Which studies support this strain selection?
Which strain version produced this result?
Compare recorded titer under matched conditions
Find designs missing reviewed phenotype data
Draft a summary of these process changes
Show open questions for this transfer
Which studies support this strain selection?
AI-native lab transformation

Adaptable workflows for teams developing your biology.

Shared Design & Strain History

Labsheets links strain ancestry, design references, stocks and phenotypes. Carry tested-material identity into cultivation and analytics, preserving development history when clones are renamed or designs revised.

Personalized Engineering & Process Apps

Jazz gives teams strain-selection, culture-request or evidence-review screens on shared Scispot data. Adapt local tasks and fields while preserving common strain and study relationships.

Data Capture & Agreed Analysis

GLUE captures supported culture and analytical outputs. Smart Actions applies configured calculations with units and source links, routing missing identifiers or review inputs before development decisions.

Experts Through the First Handoff

Our scientists and engineers map one workflow, connect systems, test representative work and train users. Measure preparation time before expanding to more strains or process studies.

Remove repetitive work between design and development.

01

Strain Library to Phenotype Review

Prepare the evidence for strain selection from the material actually tested.

Use a Jazz strain-selection screen to review design references, parentage and available stocks, then assign tests. Capture growth or product outputs against the tested culture and apply agreed analysis.

Keep failed tests and incomplete records visible. Scientists review phenotype evidence with its method and source material before approving a follow-up experiment.

Explore strain-to-phenotype workflows

02

Screening Evidence to Process Development

Bring selected strains into cultivation without losing the comparison basis.

Record strain selection and create the follow-up study with its stock, medium and process version. Capture supported culture and analytical results, then prepare comparisons from reviewed measurements.

Preserve titer, yield and productivity bases, units, scale and operating conditions. Scientists judge comparability; data continuity does not establish equivalent performance at another scale.

Explore development evidence mapping

03

Development Evidence to Partner Handoff

Prepare the transfer record from the agreed process and reviewed studies.

Assemble strain identity, process version, material requirements, methods and reviewed analytical evidence. Check the required package contents and assign open questions before handoff.

Retain the version shared with the partner and track later changes against it. Receiving teams retain qualification and execution responsibility; both teams can follow the evidence behind the selected process.

Explore process-transfer evidence

Bring the strain handoff your teams still rebuild by hand.

Bring one strain-to-assay or development-transfer workflow. Our scientists and engineers will map manual work, review needs and a useful first automation, 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

Frequently asked questions

How does this serve SynBio companies and process-development teams?

Scispot’s Digital Brain links design and strain history to tests, cultivation data and development decisions when engineering, analytics and process teams lose time rebuilding evidence. SynBio companies can start with strain-to-assay work; process teams can start with a development handoff. That first workflow defines the scope and outcome.

Can we keep design tools, bioreactor software and existing lab systems?

Yes. Keep specialist design tools, supported culture-data sources and existing ELN, LIMS or QMS systems. Scope each connection’s files, APIs, identifiers and metadata. Native applications can fill useful gaps. You retain access to your Scispot records and exports while design and acquisition tools continue their own roles.

What does an initial design-build-test-learn engagement include?

Our scientists and engineers map one strain family and test workflow, configure records, connect selected sources, test handoffs and train users. Jazz personalizes team screens on shared data. The subscription combines software, integrations and expert delivery, with unlimited users within agreed scope. Measure preparation time and adoption before expanding.

Can Scispot automate analysis and compare results across scales?

Smart Actions runs agreed calculations with source references; users preview and approve proposed changes before saving. Scibot compares recorded conditions and drafts summaries. Preserve defined units and calculation bases for titer, yield and productivity. Scientists judge comparisons across scales. The software does not establish scale equivalence or manufacturing performance.

How are quality requirements handled during development and transfer?

Configure permissions, versioned records, audit trails and review steps for the intended work. Trust Vault organizes control and change evidence; Scispot supports agreed testing and validation tasks. Your organization and receiving partners define procedures, qualification and validation needs, and retain scientific decisions and final sign-off.

Keep the development record controlled as the process changes.

Preserve strain history, method versions, calculations and approvals through development and transfer. Your organization and partners define quality requirements, qualification, validation and final decisions for the intended process.