Automate the data work between your screen and the next experiment.
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.
Built for screening teams whose instruments outpace their data handoffs.
Connect biochemical and cell-based screens from compound transfers through assay plates, readouts, and follow-up decisions. Start where file handling and QC preparation cost scientists the most time.
Published Customer Outcomes
From plate data to reviewed follow-up work.
Less data-processing time
Organoid-screening customer; imaging and sequencing processing: six days to three.
Lower data-entry error rate
Reduced data-entry errors in one connected biotech workflow.
Less manual reporting and admin
Cut manual reporting and administration work for one biotech.
Less time creating cross-team requests
Peptide teams reduce time creating cross-team requests.
A Digital Brain from plate data to the next reviewed action.
More plates should not mean more spreadsheet work.
Ask which screening results
are ready for the next experiment.
Find the evidence and prepare the next handoff.

Less data handling from plate setup through scientific review.
Plate Work Without Re-entry
Carry compound IDs, concentrations, controls, and well relationships into transfers and results. Flag mismatches before the next worklist or screen review.
Instrument Data That Arrives Ready
GLUE imports supported liquid-handler and plate-reader files into agreed records. Automate identifier mapping and completeness checks while retaining sources and unresolved exceptions.
Configured Assay Analysis
Smart Actions runs agreed normalization, QC, or response calculations. Review outputs before committing updates; retain inputs, settings, and exclusions for scientific assessment.
Screening Workflows With Expert Delivery
Jazz gives operators and reviewers focused screens on shared Scispot data. Our scientists and engineers map assays, connect files, test calculations, and train teams.
Start with your most time-consuming screening handoff.
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 high throughput screening software manage?
High throughput screening software manages assay plans, plate and well identities, instrument data, QC, and follow-up work. Scispot captures supported files, runs configured checks and calculations, and prepares review queues. Your scientists define assay criteria and decide which results support hit selection or confirmation.
Can Scispot connect our liquid handlers and plate readers?
Scispot connects supported interfaces and files. Our scientists and engineers review worklists, exports, software versions, and identifiers, then test source-to-destination well mapping, returned values, incomplete files, and exceptions with your team. Any commands sent to equipment require a separately confirmed interface and workflow scope.
Can we keep our screening database and analysis tools?
Keep your compound registry, ELN, screening database, and specialist analysis tools. Agree identifier ownership and data exchange, then test one plate-to-review workflow with representative records and train its users. Measure manual handling and adoption before extending it to another assay.
Does Scispot calculate Z′ and dose-response results?
Configure Smart Actions or connect analysis outputs for your assay: Z′ for suitable control-based plate assessment, or IC50 and EC50 for relevant concentration-response work. Test inputs, units, settings, and exclusions with your scientists. Review proposed outputs before committing updates; scientific acceptance remains a separate decision.
How does Scispot support a controlled screening workflow?
Scispot provides permissions, record history, source links, review steps, and electronic signatures where configured. Trust Vault supports controlled evidence. For regulated use, Quality defines procedures, validation scope, and approvals. Scientists retain responsibility for assay suitability and candidate decisions; software controls support their review and data integrity.

Scispot supports controlled records, source traceability, permissions, and review workflows. Your team owns assay suitability, acceptance criteria, scientific decisions, required validation, and final sign-off.
















