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Deterministic automation
Do the predictable work
Run defined calculations, transformations, QC rules and repeatable record updates.
Scispot Execute
Turn Lab Context Into Completed Work.
Scispot Execute combines governed AI agents and deterministic automation to analyze results, run QC, update records and generate reports. It turns trusted scientific context into approved digital work inside Scispot LabOS.
Trusted by 200+ life science labs
The Digital Work Gap
Your Lab Knows What to Do. People Still Do The Digital Work.
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Results need processing
Instrument files still need calculations, sample mapping and structured results.
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Review is repetitive
Scientists repeat checks that can be defined once and applied consistently.
03
Reports are assembled
Approved values are copied into reports, COAs and client outputs.
04
Systems wait for people
Records and statuses stay out of sync until someone updates them.
The science may be automated. The digital work around it often is not.
The Execute Model
The Right Method.
For Every Task.
What Execute does
Automate The Digital Work Around Science.
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Analysis & calculations
Apply configured transformations, normalization, dilutions and calculations.
QC & exception actions
Check acceptance rules, flag failures and route exceptions for review.
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Record & status updates
Create or update samples, results, inventory and workflow states.
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Report generation
Prepare reports, COAs and recurring outputs from reviewed, structured data.
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Cross-system actions
Sync records and invoke approved actions through supported integrations and APIs.
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Agentic execution
Complete bounded digital tasks using lab context, permissions and approved tools.
Run to Report
Raw Instrument File In.
Reviewed Report Out.
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Trigger
A request or configured event starts the work.
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Retrieve context
Find the sample, method, history and permissions.
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Execute
Run the permitted calculation, check or action.
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Verify
Check the output and confirm the resulting state.
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Escalate
Pause for exceptions or required human review.
06
Complete
Update the record and prepare the next step.
Give Your Lab Digital Workers.
context, Tools and boundaries.
An execution agent uses trusted scientific context to retrieve information and carry out permitted digital tasks. Scispot connects that work to the records, rules and review that make the output usable.
Retrieve Samples
Retrieve Method
Retrieve Reviewed Results
Source File Context
Prepare a summary using the approved tool
Historical Context
Linked Record Context
Prepare the run summary for review
Retrieve Samples
Retrieve Method
Retrieve Reviewed Results
Source File Context
Prepare a summary using the approved tool
Historical Context
Linked Record Context
Prepare the run summary for review
Start With One Work Chain
Keep Your Stack.
Connect The Work.
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Instrument → result
Parse a supported file, map samples and prepare structured results.
02
Result → report
Apply QC, review the output and prepare the approved report or COA.
03
Sample → next state
Update records, locations, inventory and downstream tasks.
04
Exception → resolution
Flag the issue, prepare context, route review and document the decision.
05
System → system
Synchronize records through supported integrations and approved actions.
06
Result → next step
Prepare a proposed repeat, investigation or follow-up for scientific review.
GLUE connects → Harmonize provides context → Orchestrate coordinates → Execute acts → Trust Vault keeps evidence
What Changes
Less Digital Work.
More Scientist Time.
Less digital grunt work
Reduce copying, checking, updating and formatting between systems.
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A shorter path to reporting
Keep analysis, review and report preparation in one connected work chain.
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Review by exception
Bring the flagged cases and required decisions to the right people.
More scientist time
Keep people focused on experimental design, interpretation and decisions.
Under the Hood
One Governed Context.
Every Workflow Connected.
GLUE
Connect instruments, files, and lab systems.
Smart Actions
Automate analysis, QC, routing, and reporting.
Jazz
Build governed tracks on the same data and workflows.
Scibot
Deploy AI coworkers on trusted lab context.
Trust Vault
Preserve approvals, evidence, audit history, and validation artifacts.
MCP + APIs
Connect approved models, agents, developers, and internal tools.
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Software platforms manage tools. We manage outcomes.
Chosen by labs that set the standard
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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
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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
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
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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