LIMS Unpacked (4 of 4): Thinking outside of the LIMS box

Your LIMS is about to get a lot more interesting. The key? Data fabric and low-code.

For over 40 years, LIMS has done one job really well: record what happened. Track the sample. Store the result. Prove you did it right.

That’s about to change — in the best possible way. 

LIMS is a box of functionality that acts upon data, and that box can be opened up!

The Big Idea: Data Fabric, with Low Code on Top

You’ve probably heard the buzzwords: AI in the lab! Digital twins! Self-driving labs! All real. All coming. But here’s the thing nobody mentions:

None of them work unless your data is connected.

Think about a few of the applications that are a part of your operations right now. LIMS for samples and results. ELN for experiments. Instruments generating raw data. ERP handling inventory. MES tracking production. Five systems. Five silos. Five logins. Getting a full picture means exporting spreadsheets and stitching things together by hand.

That’s the problem data fabric solves.

It connects everything into one searchable layer — without replacing any of the individual systems. LIMS can be at the centre of it.

And the low-code workflows can be layered on top of it!

What used to mean months of custom development now takes days of configuration. Instead of bespoke code that only one developer understands, you get configured workflows with built-in guardrails — security, compliance, and architecture patterns baked in from the start.

Easier to maintain. Consistent across sites. And when a process changes, the system can change with it — in days, not months. That’s what makes data fabric + low code practical, not just theoretical.

That’s the foundation. Once you have this architecture in place, LIMS becomes a set of capabilities rather than a box and then the possibilities are endless:

1. Your LIMS Will Predict the Future

Not in a crystal ball way. More like: "Hey — your instrument is going to fail on Thursday."

What can a digital twin do?

• Predict where a bottleneck will form — before it actually forms
• Spot an instrument drifting out of spec — before it produces bad results
• Let you test a process change — without risking a real batch

Your LIMS capabilities feeds the twin with real data. The twin feeds your LIMS with smarter decisions. They talk to each other in a loop.

It only works if the twin can see everything — LIMS data, instrument data, manufacturing data. Data fabric connects all of it.

The result? Your LIMS stops being a historian. It becomes a forecaster.

2. Your LIMS Will Run Things Without You

This one sounds like science fiction. But it's already being built.

This isn't a concept on a slide deck. Billion-dollar companies are spending real money building this in real labs, right now [1] [2] [3].

You tell the system what you’re trying to achieve — “find a compound that binds to this protein” or “optimise this formulation for stability.” Then the AI takes over. Hundreds of experiments, day and night, without human hands. Each result makes the next experiment smarter.

A self-driving lab needs to see everything — inventory levels, historical results, instrument schedules, quality rules. LIMS holds the sample and test data — and enforces the quality rules the AI has to follow. Data fabric connects the rest.

So where does that leave you? You set the goal, define the boundaries, and monitor the loop. Less data entry. More judgment calls. Your expertise gets more valuable, not less.

3. Your LIMS Will Talk to You in Plain English

This might be the change you'll actually feel day-to-day.

Imagine typing:

• “Show me all out-of-spec results from Lab 3 in the last month.” — Answer. Instantly.
• “Which supplier had the most rejected batches this quarter?” — Answer. Instantly.
• “How does this month’s turnaround compare to last year?” — Answer. Instantly.

Just ask. Get an answer. Move on with your day.

Data fabric makes it powerful: the AI searches across everything — LIMS, ELN, MES, instruments etc— in one go. One question, one answer, regardless of where the data lives.

The Bottom Line

Your LIMS capability can do all of this — predict, automate, answer questions — once it’s connected to everything around it. Data fabric provides the connection for low-code to leverage.

Would you like your lab to have a data fabric? Book a meeting with us to find out more.

Sources

[1] Telescope Innovations. Telescope Innovations Installs Second Self-Driving Lab at Pfizer. https://telescopeinnovations.com/telescope-innovations-installs-second-self-driving-lab-at-pfizer

[2] AstraZeneca. iLab: Accelerating Drug Discovery Through AI, Automation and Robotics. https://www.astrazeneca.com/r-d/our-technologies/ilab.html

[3] Atinary Technologies. Launch of the Atinary Lab. https://atinary.com/news/launch-of-the-atinary-lab/

Thanks for reading the LIMS Unpacked series! 🧪