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Leaders in Laboratory Information Management Systems (LIMS)
800.565.LIMS or 910.673.8165
www.confience.io

09/24/2026

Your lab may not be slow. The delays may be happening between steps.

Disconnected systems, manual approvals, spreadsheets, and repeated data entry can create waiting time throughout the sample lifecycle.

With myLIMS, labs can connect workflows and centralize information to reduce unnecessary manual handoffs.

See how myLIMS helps keep lab workflows moving:
https://hubs.ly/Q04ygS020

Photos from Confience's post 09/04/2026

If your instruments don’t connect directly with your lab systems, the impact goes beyond lost time.

Manual notes, spreadsheets, and repeated data entry can lead to transcription errors, delayed results, and traceability gaps. With DAQ and integrated workflows, instrument data can move directly into the system with less manual intervention.

Discover how myLIMS helps connect your instruments, data, and workflows: https://tinyurl.com/3v3f3eke

09/02/2026

More business should create more output, not a matching increase in administrative work.

If every new batch of samples adds more manual intake, assignments, calculations, report formatting, and status follow-up, the lab eventually hits a capacity ceiling.

The answer is not to make the team work faster. It is to remove the steps that do not need to be manual.

See how myLIMS helps labs automate workflows and scale operations: https://tinyurl.com/26btrs88

Photos from Confience's post 08/31/2026

Growth rarely breaks a lab in one dramatic moment. It exposes the manual steps that were manageable at lower volume.

More samples mean more intake, assignments, data entry, review and reporting. If each step scales one-for-one with volume, growth becomes an administrative problem.

A useful test: if sample volume increased 30% next month, what would break first?

Map that point before you add headcount.

See how myLIMS helps labs scale sample volume without scaling administrative work: https://tinyurl.com/43b54wfr

08/26/2026

Can your AI answer show its source?

Fluence AI can. Ask a product question inside myLIMS, review the source article, then decide.

Sourced by default. Human accountable.

See what Fluence can do for your team: https://tinyurl.com/42336nzz

08/24/2026

our lab doesn’t need another list of AI predictions. It needs a better way to evaluate them.

That’s what we’ll focus on this Thursday during AI in the Lab.

Joseph Reynoso and Rossy Hernandez will spend 35 minutes unpacking the AI conversation from a laboratory perspective and helping teams distinguish between what deserves attention now, what needs more context, and what may still be ahead of its time.

📅 Thursday, August 27
🕚 11:00 AM ET | 10:00 AM CT | 8:00 AM PT

Reserve your spot for this Thursday: https://tinyurl.com/ke7txkbn

08/20/2026

AI is everywhere. But what does it actually mean for your lab?

There’s no shortage of AI promises. The challenge is separating what can actually matter for laboratory operations from what simply sounds impressive.

That’s exactly what we’re tackling on August 27.

In 35 focused minutes, Joseph Reynoso and Rossy Hernandez will sort through the AI conversation and give you a more practical way to think about what’s useful, what needs context, and what’s still hype.

📅 Thursday, August 27
🕚 11:00 AM ET | 10:00 AM CT | 8:00 AM PT

Join the conversation. Register today: https://tinyurl.com/6amdkerc

08/19/2026

Copying a result from one place to another is not just extra work. It is another point of risk.

Connected QC workflows help remove unnecessary reentry and keep quality data moving through a more reliable process.

See how myLIMS helps reduce manual data entry and connect your quality workflow.

Learn more: https://tinyurl.com/3dd8dt3p

Photos from Confience's post 08/17/2026

TAT starts before the sample reaches the bench.

Swipe through the steps that often create hidden delays in contract labs.

Save this for your next process review.

See how myLIMS can help connect your sample-to-report workflow and reduce unnecessary delays: https://tinyurl.com/2mtrpch8

Photos from Confience's post 08/11/2026

Most labs know they need a LIMS. Fewer know exactly what to expect from one.

There's a big gap between what software promises in a demo and what it actually delivers in daily operations — and that gap is where most implementations fail.

This carousel breaks down what a LIMS should genuinely improve, day by day, for your team.

If you're evaluating options or questioning your current system — this is worth the swipe.

💬 What's the one thing your current system still doesn't solve? Let us know in the comments.

See myLIMS in action. Schedule a personalized demo: https://tinyurl.com/4kphy866

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