Scispot Lab Operating System (LabOS)

Build The Digital Brain Of Your Lab. One You Actually Own.

Scispot LabOS connects your instruments, apps, data, samples, workflows, and quality rules into one governed system of record.

Scispot Lab Operating System diagram: AI Agents, Jupyter Hub and third-party instruments connected through the Digital Brain to ELN, LIMS, SDMS, QMS, app integrations, Smart Actions and Trust Vault

Trusted by 200+ labs at:

One system, three layers

Everything A Connected Lab Needs, In Three Seamless Steps

Outcomes

Why Regulated Labs Run LabOS

System of Record + Action

Capture the record, apply rules, and advance work

Keep Your Stack

Connect existing systems; replace only what helps.

Governed Context for AI

Keep every result linked to its full lab context.

Own Your Data

Open APIs, MCP, and exports keep your data portable.

White-glove from day one

A guided, time-boxed sprint development. Unlimited expert training. Live in weeks, not quarters

Recruit AI Coworkers.
Transform Lab Operations.

Scibot is a family of AI agents that work with your data, understand your lab context, and take action. From simple lookups to complex analysis—Scibot gets the work done.
Meet Scibot
Scibot, the Scispot AI coworker
Flag Tomy’s QC deviations
Count Cynthia’s CD8 antibody lots
Find patient-042’s sample location
Flag out-of-spec results
Compare assay run results
Summarize Jeremy’s sequencing run
Flag Tomy’s QC deviations
Count Cynthia’s CD8 antibody lots
Find patient-042’s sample location
Flag out-of-spec results
Compare assay run results
Summarize Jeremy’s sequencing run
Built for Labs
Trained on lab data and workflows.
Secure & Compliant
Protect lab data with traceable workflows.
Always Learning
Improves with your data and feedback.
Under the Hood

The Only API-First Lab Cloud

01

Own Your Data

Keep raw files, results, metadata, and lineage in your cloud or ours, with open API export and full scientific context.

Instrument data from a Thermo Fisher Orbitrap streaming at 1.2 GB per run

02

Model-Ready Scientific Context

Normalize units, IDs, methods, metadata, and relationships so models receive context, not just disconnected files.

Evidence and reports: audit trail report, validation summary and CAP-CLIA execution report, always ready

03

Reproducible by Lineage

Trace every result to its sample, source file, protocol version, transformation, quality state, and approval history.

Staging lakehouse transformation running with units, IDs and metadata mapped and every version kept

04

Connect Your Models and Agents

Use MCP and APIs to connect approved AI tools and internal models to governed lab context with role-based access.

Control the workflow: role-based permission, schema locked and inline editing restricted
Software platforms manage tools. We manage outcomes.

Let's Map Your Lab's Digital Brain

Reach out and we'll walk you through what the workshop and assessment actually look like for a lab like yours.

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

Chosen by labs that set the standard

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
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
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