LabLynx, Inc.

05/26/2026

When every ELN login has a price, labs start rationing logins. Someone hands their notes to a person who already has a seat. Someone keeps a side spreadsheet. Someone just remembers it. None of it feels like a problem in the moment, and all of it puts part of the lab's record outside the notebook that was supposed to hold everything.

That's the hidden cost of per-seat pricing, and it has very little to do with the number on the invoice.

New article works through per-seat vs unlimited for research labs: where each one fits, why transient teams feel it most, and three questions that usually settle which model you need.

Most decisions about an electronic lab notebook eventually arrive at a meeting nobody enjoys: the one where a lab works out who actually gets a license. The PI, obviously. The senior postdocs, yes. The two staff scientists, fine. Then the list gets harder. The rotating graduate students who cycle th...

05/19/2026

A research lab in September: 12 people in the group. By February: 9 people. By June: 14, including two rotating students and a visiting researcher.

Per-seat ELN pricing turns lab membership into a billing problem. The new LabLynx ELN pricing removes the per-seat math entirely: unlimited users are included, with reduced rates for academic research labs.

Take a look at the new plans:

Compare ELabELN Standard and Suite pricing. Every edition includes unlimited users, full compliance, and dedicated support. Academic pricing available.

05/13/2026

Quick question for anyone running a research lab: how much of your experimental record lives in paper notebooks, shared drives, and spreadsheets that one person on the team fully understands?

If the answer is "more than we'd like," the new LabLynx video is worth six minutes. It walks through the LabLynx ELN as a standalone electronic lab notebook and, for labs that want more, as a platform with additional applications (inventory, scheduling, instrument integration, and others). The argument is built around academic and university research labs specifically, with pricing tiers for both.

Watch: https://vimeo.com/1190253963

To get a free trial, schedule a demo, or just talk through what your lab needs, visit https://www.lablynx.com/get-started/ or email [email protected].

The LabLynx ELabELN solution is MORE than an electronic lab notebook! It's a PLATFORM, giving you access to a virtually unlimited range of additional applications, specially designed to work together seamlessly as an electronic data management ecosystem. LIMS features and functionality PLUS - and al...

05/05/2026

A2LA's Top 10 deficiencies. ANAB's 548 nonconformities from 543 assessments in 2025. Two published datasets, one pattern: five clauses keep showing up at reassessment after reassessment.

Our new whitepaper breaks down exactly which findings recur, why paper and spreadsheet workflows can't produce the evidence assessors are asking for, and what changes when a modern LIMS sits behind the work.

4 pages. Free download. Worth the 10 minutes before your next audit.

https://www.lablynx.com/iso-17025-deficiency-data-whitepaper/

04/21/2026

70% of scientists say they can't reproduce another researcher's results.

It's rarely fraud. It's almost always documentation.

Methods missing critical details. Data scattered across notebooks, instruments, and spreadsheets. Knowledge walking out the door when grad students and postdocs move on.

Funders are paying attention. NIH is exploring how to reward researchers who make replication easier. Horizon Europe now requires FAIR data management across all funded projects. Nearly a quarter of major U.S. research institutions have already rolled out enterprise ELN licenses.

Our new white paper breaks down the five documentation failures driving the reproducibility crisis, and what labs can do about it before the next grant cycle.

Free download: https://www.lablynx.com/reproducibility-crisis-whitepaper/

03/18/2026

It is March, so we did what any lab informatics company would do. We built a bracket.

16 of the most common lab pain points. Four regions. One champion. We wrote a full scouting report on every matchup and built an interactive bracket so you can click through and pick your own winners.

Manual Data Entry is the 1-seed. Data Silos grabbed the 2. Who makes your Final Four?

Fill out your bracket: https://www.lablynx.com/resources/articles/lims-madness-bracket/

16 lab challenges go head-to-head in a single-elimination bracket. From manual data entry to data silos, see the scouting report and pick your winners.

03/10/2026

"AI sounds great, but we can't justify the investment right now."

We hear this from lab executives constantly. Meanwhile, those same labs absorb six figures in preventable waste every year from manual errors, reactive compliance prep, and maintenance on instruments that don't need it.

We wrote "The AI-Ready Laboratory" for decision-makers who need hard numbers before they approve anything. Payback period calculations, industry benchmarks, and a practical roadmap from evaluation to ex*****on.

The download is free. The cost of waiting is not.

Discover how labs use AI and modern LIMS to reduce errors, automate compliance, and scale without adding staff. Includes ROI models and a phased roadmap.

03/04/2026

Is your lab still managing data in paper notebooks or Excel? You're not alone — but it's costing more than you think.

We just released our latest webinar on demand: "The New ELabELN from LabLynx: Is It Right for Your Lab?" — led by Lab Informatics consultant Alan Vaughan.

In under 30 minutes, you'll see how labs are modernizing their data management for free — with enterprise-grade security, compliance features, and workflows that scale.

🎥 Watch it free here: https://www.elabeln.com/resources/webinars/new-elabeln-february-2026/

Join our free March 3rd webinar to discover if ELabELN is right for your lab. Learn about this electronic lab notebook's features, setup, and benefits.

02/24/2026

Last week we explored how AI agents are transforming laboratory operations, automating sample routing, inventory management, and quality control with 30–70% efficiency gains across key functions.

But here's what no one wants to talk about: the same autonomous capabilities that make AI agents valuable also make them dangerous if compromised.

This isn't theoretical. Consider the differences:

A human user authenticates once per shift. An AI agent authenticates hundreds, sometimes thousands, of times per day across your LIMS, instrument interfaces, vendor APIs, and purchasing systems.

A human accesses a handful of systems. An AI agent connects to everything it's integrated with, giving attackers a single point of entry to your entire infrastructure.

A human operates at human speed. A compromised AI agent can exfiltrate databases, modify thousands of records, or corrupt workflows in minutes. Your security team won't even get an alert before the damage is done.

Traditional laboratory cybersecurity was built for humans clicking through interfaces. AI agents break every assumption it was designed around.

The real-world attack scenarios are sobering:
→ Inventory agents manipulated to place excessive orders or halt critical supply replenishment
→ QC agents silently adjusting acceptance criteria, degrading result quality over months
→ Sample routing agents misdirecting STAT samples through routine queues
→ Compromised credentials providing persistent, undetected access across all connected systems

Every one of these looks like an operational problem, not a security breach. That's what makes them so dangerous.

Laboratories deploying AI agents need security architectures specifically designed for autonomous systems: zero trust frameworks, behavioral anomaly detection, immutable audit trails, and granular least-privilege access controls that go far beyond traditional IT security.

We published the full breakdown. Specific attack scenarios, what makes agent security fundamentally different, and how to build infrastructure that enables autonomous operations without creating unacceptable risk.

If you read Part 1 on what AI agents can do for your lab, Part 2 is the essential counterpart: what it takes to deploy them safely.

🔗 Securing the Autonomous Lab: Why AI Agents Require Different Cybersecurity: https://www.lablynx.com/resources/articles/ai-agent-security-laboratory-operations/

AI agents create new cybersecurity challenges for labs. Learn why autonomous systems require different security and how to protect agent-powered operations.

02/17/2026

Most labs are already using AI. But there's a critical difference between AI tools and AI agents — and it changes everything.

An AI analysis tool waits for you to click "run." It processes data and shows you results. You still decide what to do next.

An AI agent doesn't wait. It monitors your instrument queues, detects anomalies, reorders reagents, adjusts sample routing, and delivers results — autonomously, around the clock, without waiting for human input at every step.

The difference? One is a calculator. The other is an autopilot.

In laboratory operations, that distinction translates into real numbers:
→ 30–40% faster sample turnaround through automated routing
→ 60–70% reduction in unexpected instrument downtime
→ 40–50% less excess inventory through predictive reordering
→ 2–3x sample volume capacity without proportional headcount growth

But here's what most labs haven't considered yet: AI agents can only be as capable as the infrastructure beneath them. Disconnected systems, paper records, and limited APIs create hard ceilings on what agents can do. Modern LIMS platforms with open APIs, structured data, and comprehensive workflow engines are what allow agents to operate safely and effectively — not just theoretically.

We've published a deep-dive on exactly what AI agents are, how they're being deployed in labs right now, and what it takes to build an agent-ready foundation.

If you're thinking about where laboratory automation is headed — and whether your infrastructure is ready — this is worth reading.

🔗 AI Agents in the Lab – Moving From Analysis to Autonomous Action: https://www.lablynx.com/resources/articles/ai-agents-laboratory-automation/

Discover how AI agents autonomously optimize laboratory operations—from sample routing to predictive maintenance—and what infrastructure your lab needs.

02/13/2026

📋 "Failure to maintain adequate audit trails for electronic records."

This single FDA Form 483 observation costs pharmaceutical labs months of remediation, delayed approvals, and damaged reputations.

Yet many pharma teams still struggle with manual audit logs, fragmented documentation, and compliance gaps that become glaring vulnerabilities during inspections.

The truth? Your ELN should make FDA 21 CFR Part 11 compliance automatic—not an afterthought.

Our latest article breaks down exactly how automated audit trails work in ELabELN to meet regulatory requirements without creating administrative burdens:

✅ Complete attribution – Every change tracked to specific users with timestamps
✅ Tamper-proof records – Immutable changelog and revision history
✅ Trusted timestamping – RFC 3161 protocol for legally defensible documentation
✅ SIEM integration – Export audit logs to centralized monitoring systems
✅ Inspection-ready – Generate compliance reports in minutes, not days

The article includes step-by-step configuration guidance, FDA compliance checklists, and best practices from pharmaceutical laboratories successfully navigating regulatory inspections.

Because data integrity isn't just about compliance—it's about confidence in your science.

📖 Read the full implementation guide: https://www.elabeln.com/resources/articles/pharma-eln-audit-trails-fda-compliance/

Are your audit trails inspection-ready?

Implement FDA-compliant audit trails in ELabELN. Step-by-step guide to configuring automated tracking for pharmaceutical laboratories under 21 CFR Part 11.