Lab automation software is software that removes manual work from a laboratory. It comes in two halves: software that runs the physical side of the lab (instrument control, scheduling and robotics) and software that runs the information side (sample tracking, records, results, certificates and audit evidence). Most labs get their first gains from the information side, because it needs no new hardware.
What is lab automation software?
The term covers any system that takes over a repeated task in the lab: logging a sample, capturing an instrument result, checking it against a specification, drafting a certificate, or telling a person that something is late. A single lab usually runs several of these tools, and they need to exchange data with each other. That is why integration matters as much as any one feature.
What are the main types of laboratory automation software?
| Type | What it automates |
|---|---|
| LIMS (laboratory information management system) | Sample intake and tracking, test assignment, results, specifications, certificates of analysis, audit trails. |
| ELN (electronic lab notebook) | Experiment records, methods and observations, mostly in research and development work. |
| LES (lab execution system) | Step-by-step guided procedures so each analyst runs a method the same way. |
| SDMS and data capture | Collecting raw data from instruments and storing it with the record. |
| Scheduling and robotics control | Liquid handlers, plate handlers and instrument queues, the physical movement of samples. |
| Integration middleware | Passing data between instruments, the LIMS and other business systems without retyping. |
| AI layer | Finding, summarizing, drafting and flagging across the records your systems already hold. |
A LIMS is often the centre of the stack, which is why questions such as LIMS integration and LIMS implementation come up in almost every buying decision. See LIMS AI for how an AI layer works alongside a LIMS you already run.
How do you choose lab automation software?
- Start with the bottleneck. Time one week of your team’s work. Where do people retype, search, chase or wait? Automate that first.
- Check integration before features. Ask how the tool connects to your instruments and your LIMS, and who builds and maintains each connection.
- Protect data integrity. Records need to be attributable, legible, contemporaneous, original and accurate (ALCOA+). Read the FDA’s data integrity guidance and, for electronic records, 21 CFR Part 11.
- Plan the validation. In a regulated lab, a computerized system has to be shown fit for its intended use. ISPE GAMP 5 is the usual framework, and validation effort belongs in the cost comparison.
- Keep a person in the approval step. Automation should prepare and flag. Release, approval and sign-off stay with qualified staff.
- Pilot one workflow. Run a single workflow for a few weeks, compare it with the manual version and expand only if the team trusts it.
Where does AI fit in lab automation?
“Lab automation” usually means robots, liquid handlers and scheduling software that move samples. AI adds a different kind of help: the searching, summarizing, drafting and checking that happens before and after an instrument runs.
LIMS AI by TheoSym is an AI layer for lab workflows. It connects to the LIMS you already use and helps with sample and certificate of analysis workflows, plain-language questions about your lab data, and audit readiness. It does not run instruments, it does not replace your LIMS, and your qualified staff review and approve what it produces. It suits pharma QC labs, contract testing labs, manufacturing and supplement labs, and clinical labs.
Good first workflows to automate
- Spotting samples that are late, missing or out of pattern
- Drafting certificates of analysis from results already in the LIMS
- Finding a result or record by asking in plain language instead of building a report
- Gathering the evidence an auditor asks for and flagging gaps before they become findings
- Keeping method validation, calibration and training records organized and easy to retrieve
Compliance work runs alongside this. ChatGMP helps with GMP questions and drafting, and DeepGMP helps reason through deviations, CAPA and validation. For the wider picture of tools in a regulated setting, read AI tools for the pharmaceutical industry.
See what an AI layer could do in your lab
Tell us which LIMS you run and one workflow that slows your team down. In a 15-minute call with Sam you will see what LIMS AI could do with it and what setting it up would involve.
Frequently asked questions
What is lab automation software?
Software that removes manual work from a laboratory. It includes systems that run the physical side (instrument control, scheduling and robotics) and systems that run the information side (sample tracking, records, results, certificates and audit evidence).
What are the main types of laboratory automation software?
LIMS for samples, results and certificates; ELN for experiment records; LES for guided procedures; SDMS and data capture for instrument data; scheduling and robotics control for moving samples; integration middleware; and, increasingly, an AI layer that helps people find, summarize and draft from lab records.
Is a LIMS lab automation software?
Yes. A LIMS automates sample tracking, test assignment, result capture and reporting, and it is often the centre of a lab's software stack. Other tools connect to it.
How do I choose lab automation software for a small lab?
Start with the biggest time sink, check how the tool integrates with your instruments and LIMS, confirm it protects data integrity, plan the validation effort, keep a person in the approval step, and pilot one workflow before you expand.
Does lab automation software need to be validated?
In a regulated lab, yes. A computerized system has to be shown fit for its intended use, and the effort should be part of your cost comparison. ISPE GAMP 5 is the usual framework. Check the rules that apply to your lab.
What is the difference between a LIMS and an ELN?
A LIMS manages samples, tests, results and reporting, mostly in routine and quality work. An ELN records experiments, methods and observations, mostly in research and development. Some labs use both.
Does LIMS AI replace my LIMS or run my instruments?
No. LIMS AI works with the LIMS you already use, which stays the system of record, and it does not control instruments. It helps your team with the information work around the lab, and your qualified staff review what it produces.
For quality and lab teams
Put GMP knowledge and deviation work on AI you can audit
ChatGMP answers GMP questions from your SOPs and the regulations. DeepGMP works through deviations and CAPAs step by step. Both are built on QGI and work alongside the QMS you already run.