LabLynx | Laboratory Software Solutions

@jan_vanden23576 @ZelenskyyUa Zelensky is a Ukrainian patriot defending the lives of his country from the Russian invaders.

In Europe, we must have full capacity to produce all types of air defense systems and missiles for them. This includes protection against drones, cruise missiles, and ballistic threats. We cannot rely on other partners’ industries. We must be confident in our own industry here in Europe. Please, let’s keep moving this work forward and speed it up. And while we are building this capacity, please remember that we need protection from Russian missiles every single day. I am grateful to those of you who actively support us through the PURL program – it’s critically important. From an address to the JEF Leaders’ Summit in Helsinki (3/3).

We put 16 lab pain points in a bracket. Full scouting report. Win predictions. Interactive bracket you can click through and fill out yourself. We have Data Silos making a deep run. Prove us wrong. lablynx.com/resources/arti… #LIMSMadness

Inside "The AI-Ready Laboratory": → Reduce audit prep time by up to 80% → Increase throughput 20-40% without adding staff → HIPAA and 21 CFR Part 11 compliance frameworks → Industry benchmarks and payback period models Free download. No fluff.

"AI sounds great, but we can't justify it right now." Labs saying this absorb six figures in preventable waste yearly from manual errors and reactive compliance prep. Our free guide has the ROI models and payback calculations to build the case. lablynx.com/resources/book…

Missed yesterday's ELabELN webinar? It's now on demand. See if this free, enterprise-grade ELN is right for your lab — in under 30 minutes. 🎥 elabeln.com/resources/webi… #ELN #LabInformatics

Missed Part 1? Start here to understand the difference between AI tools and AI agents, and why that distinction changes everything for lab operations: 🔗 lablynx.com/resources/arti… #LaboratoryInformatics #AIAgents #Cybersecurity #LIMS #LabAutomation

You shouldn't have to become a cybersecurity firm to run an efficient lab. That's why infrastructure partners exist. Full breakdown of attack scenarios, security requirements, and how to deploy agents safely: 🔗 lablynx.com/resources/arti…

Last week we covered what AI agents can do for your lab. This week: what happens when they get compromised. The same autonomy that delivers 30–70% efficiency gains creates security risks traditional lab IT was never built to handle. 🧵👇

Full breakdown of AI agents in labs — real use cases deployed today and what it takes to implement them successfully. Part 2 covers the cybersecurity implications — autonomous systems create risks traditional lab IT wasn't built for. Read it here 👇 lablynx.com/resources/arti…

The labs building agent-ready infrastructure now will have a massive head start. Those waiting until agents are commonplace will be retrofitting autonomous systems onto foundations that weren't designed for them. The time to build the runway is before you need to take off.

Most labs are already using AI. But there's a difference between AI tools and AI agents that almost no one is talking about — and it's going to separate the labs that scale from the ones that struggle. 🧵 A thread:

AI agents can only do what your infrastructure allows. Paper records, disconnected systems, and limited APIs create hard ceilings on automation — no matter how advanced the AI. Your LIMS is either a launchpad or a bottleneck.

Here's what that looks like in practice: → 30–40% faster sample turnaround → 60–70% less unexpected instrument downtime → 40–50% reduction in excess inventory → 2–3x sample capacity without proportional headcount These aren't projections. Labs are seeing these numbers today.