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.
The Clinical Trial Paradox & The Pragmatic Middle Path: Unifying Biological Boldness with Enterprise IT Risk Management
Vasu Rangadass, President and CEO of L7 Informatics, and Ray Veeraraghavan, VP of Science and AI, examine the clinical trial paradox: pharma takes bold biological risks while IT often defaults to familiar, conventional systems. That divide stalls most life science AI initiatives. Their pragmatic middle path adds orchestration over existing systems instead of replacing them,…
Blog Posts.
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.
Beyond the Limits of LIMS: Why Life Sciences Needs a Unifying Platform Approach
This blog explores the limitations of traditional legacy LIMS and the challenges of integrating disparate systems. To overcome these, it introduces the unifying platform approach, highlighting how L7|ESP enables orchestration, contextualized data, and scalability across research, development, and manufacturing—empowering organizations to drive true digital transformation and prepare for AI-driven innovation.
Stop Feeding AI Junk Data: The Role of Data Contextualization in Smarter Manufacturing
Traditional MES systems weren’t built for AI. In this post, Kevin McMahon explores how manufacturers can overcome rigid, siloed systems by embracing data orchestration and contextualization. Discover how platforms like L7|ESP® transform MES into a foundation for AI-driven insight, automation, and smarter decision-making across life sciences manufacturing.
Fixing AI’s Blind Spot: The Role of Knowledge Graphs in Life Sciences
AI without data context is just guesswork. Life sciences organizations are investing in AI, but fragmented, unstructured data is holding them back. In this POV from Vasu Rangadass, Ph.D., discover how knowledge graphs and unifying platforms create trust, accuracy, and AI-driven impact.
L7 Informatics and Waters Corporation Partner to Seamlessly Connect Waters’ Informatics Solutions with L7|ESP®
L7 and Waters have joined forces to integrate Waters’ informatics solutions with L7|ESP®, enhancing lab automation, real-time analytics, and AI-driven workflow optimization. This partnership enables seamless data connectivity, driving process orchestration and continuous manufacturing advancements for pharmaceutical and life sciences organizations worldwide.