The Best Lab Operating System

Build A Digital Brain For Your Lab. One You Actually Own

Turn fragmented lab operations into one connected system – AI-native, audit-ready, built to scale.

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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

Orchestrate

A fully connected lab, in one system

Connect instruments, robots, ELN, LIMS, SDMS and cloud apps into one lab operating layer. Bring your own, or use Scispot's native apps.

Harmonize

Data you can rely on, instantly

As soon as data arrives, it’s normalized into a single, traceable data model with uniform units, IDs, methods, and aligned lineage. Compliance built in, not bolted on.

Execute

Supervise your self-driving lab

With trusted data underneath, agentic AI runs sample intake, assay design, QC, analysis, and reporting – all in natural language, with citations. You supervise; Scibot executes.

Orchestrate: one operating layer connecting LCMS, HPLC, liquid handlers, plate readers, ELN and LIMS to a data lake, native apps and cloud tools
Orchestrate: one operating layer connecting LCMS, HPLC, liquid handlers, plate readers, ELN and LIMS to a data lake, native apps and cloud tools
Orchestrate: one operating layer connecting LCMS, HPLC, liquid handlers, plate readers, ELN and LIMS to a data lake, native apps and cloud tools
Outcomes

Why labs run on Scispot LabOS?

One system for lab automation

Everything your lab runs on, in one place. Connected, automated, and yours to control.

Intuitive UI to run it yourself

Set up workflows, conduct analysis, spin up dashboards. No engineers, No code, No IT tickets.

Connected, faster lab operations

Drag-and-drop templates, guided experiment design, live inventory, and real-time reporting. Because everything's connected.

Deep data management, zero lock-in

Every record standardized, traceable, and audit-ready. Your model, your lineage, your cloud - exportable anytime.

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 R&D Cloud For Wet-Lab And Computational Teams

01

Own Your Data

Control and back up everything in AWS S3, Redshift, Snowflake or your own cloud. No lock-in, easy migration. The raw and the refined stay yours.

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

02

Model-ready Data With One Consistent Schema

Use the embedded Jupyter Notebook and AI Lab Assistant to execute tailored data preprocessing and analysis workflows.

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

03

Reproducible by Lineage

Every result traces back to its source file, so a model's inputs are always auditable and re-runnable. 100% audit ready, by design.

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

04

Point Your Own Models At Your Lab

Open API and MCP let your agents and LLMs act on governed data. Role-based control and guardrails on every call keep your data secure.

Control the workflow: role-based permission, schema locked and inline editing restricted
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 apps 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.

Case Studies

View all Case Studies

Informuta Builds a Stronger Foundation for Lab Operations and CAP/CLIA Readiness

Vial: Building a Scalable Scientific Data and Reporting Backbone

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.
Contact Us
See How It Works

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