Insights for Connected, AI-Actionable Life Sciences
Explore the latest ideas shaping life sciences, with expert perspectives on agentic AI, operating system, architecture, contextualized data, and connected operations.
Tech Transfer Doesn’t Have to Take Months. Here’s What’s Actually Broken.
Moving a process from development into manufacturing still takes months. Marcia Blackmoore argues the cause is process knowledge treated as documents, and explains what changes when recipes become structured, versioned data.
Blog Posts.
Top 5 Hidden Costs of Delaying Digital Transformation in Life Sciences
Delaying digital transformation comes at a high price for life sciences organizations. This article reveals the top five hidden costs, from lost productivity and rising expenses to missed AI opportunities, compliance risks, and talent drain, supported by leading research. Find out why now is the time to act for a digital future.
Pharma’s Simplification Imperative: From McKinsey’s Vision to Implementation Reality
Pharma’s digital future demands more than strategy; it requires unified data, simplified workflows, and operational orchestration. Explore how industry leaders can move from McKinsey’s vision of simplification to real-world results, leveraging platforms like L7|ESP for lasting competitive advantage.
When Complexity Creeps In: Why Life Sciences Need to Rethink Their Digital Foundation
Life sciences organizations are grappling with fragmented systems and siloed data. In this post, Will Gray explains why digital transformation must start with data contextualization and a solid data foundation, laying the groundwork for scalable operations, AI-readiness, and continuous innovation across research and manufacturing.
Top 5 Questions to Ask When Choosing Lab Digitalization Solutions
Selecting a lab digitalization solution? Here are the top 5 questions every IT leader should ask: covering AI readiness, integration, compliance, flexibility, and cost. Learn how to future-proof your digital lab and maximize ROI, with guidance from L7.
Build vs. Buy: The Merits of Each, Plus 5 Questions to Help Evaluate
Should you build or buy your life sciences IT platform? This article from Mark Spencer breaks down the merits of each and shares 5 smart questions to guide your decision. Whether you're scaling, modernizing, or just exploring options, this is your go-to resource for making informed, future-ready tech choices.
Top 5 Reasons Tech Transfer Keeps Breaking… And What We Can Do About It
Tech transfer in life sciences is plagued by delays, misalignments, and costly failures. In this thought leadership article, Teodor Leahu unpacks the hidden pitfalls behind tech transfer breakdowns, and explains how bridging science and engineering through orchestration can create a more reliable, scalable, and successful process across the product lifecycle.
Beyond Consolidation: Why Orchestration is the Real ROI Multiplier in Life Sciences
McKinsey estimates that consolidating software and migrating to the cloud can reduce R&D IT spend by up to 30%. But in life sciences, that’s just the beginning. In this POV, Vasu Rangadass, Ph.D., explains how data orchestration platforms like L7|ESP® bridge fragmented systems, contextualize data at the source, and enable scalable consolidation—unlocking long-term ROI and…
Gartner’s 2025 Vision for LIMS is Clear… and L7 has Been Building it Since 2012
Gartner’s latest Market Guide for LIMS defines the future: a digital unified platform powering the lab of the future. But at L7, that vision isn’t new—it’s what we’ve built since 2012. In this follow-up to our original blog, Robert Zeigler, Ph.D., explore how the industry is catching up to what L7|ESP® has delivered for over…
Q&A with Marcia Blackmoore | Building Smarter, Faster CDMOs: A Data-First Strategy for Advanced Therapies
In this Contract Pharma Q&A, Marcia Blackmoore, VP of Customer Ops at L7, explains why a data-first approach is essential for CDMOs navigating the complexities of cell and gene therapy production. From accelerating tech transfers and ensuring traceability to enabling AI-driven optimization, she outlines how L7|ESP® and L7|HUB® help CDMOs build scalable, compliant, and intelligent…
Top 7 Must-Haves for AI Readiness in Biopharmaceutical Laboratories
AI in biopharma is only as good as the data and systems behind it. In this blog, Oana Lungu outlines seven must-haves to ensure your lab is truly AI-ready—from aligning teams and systems to evaluating data practices and regulatory needs. Ready to bridge the gap between ambition and outcomes? Start with these seven essentials.
Why Orchestration—Not Integration—Is the Future of Digital Life Sciences
The technical debt of integration is slowing innovation in life sciences. In this blog, Teodor Leahu explores how orchestration layers eliminate brittle integrations, decouple data from systems, and create a foundation for scalable, AI-ready operations. Learn why orchestration is more than a fix—it’s a future-proof architecture for scientific innovation and operational efficiency.
Recap of Bio-IT World 2025: Why AI-Readiness Demands a Unified Approach Through a Digital Backbone
Bio-IT World 2025 made one thing clear: fragmented systems are holding back AI in life sciences. From pharma to clinical research, experts called for a unified platform to drive efficiency and AI-readiness. This recap explores why orchestration—not just tools—is the key, and how L7|ESP offers a future-ready solution.