Austin, TX — September 12, 2025 — Life sciences organizations are investing heavily in artificial intelligence tools, but many are questioning the sustainability of their competitive advantage. According to L7 Informatics, the missing piece isn’t more data or more algorithms. It is architecture: the orchestrated backbone that turns data into compounding value.
In a newly published thought leadership article, L7 explains that while data is necessary, it has become a commodity, easily acquired, replicated, or licensed. What separates leaders is the enterprise architecture that integrates workflows, feedback loops, and controls. Without this infrastructure, AI initiatives too often become isolated tools rather than engines of transformative change.
“AI models and data are raw materials. What turns them into a competitive advantage is the architecture that shapes how they work together,” said Vasu Rangadass, Ph.D., Founder and Strategy Officer of L7 Informatics. “Organizations that embed orchestration into their digital foundation will not only accelerate innovation today, but also build a moat that competitors cannot easily cross tomorrow.”
L7 emphasizes that architecture delivers reinforcing loops that sharpen forecasting, reduce variability, and accelerate innovation. As AI investments mature across research, clinical, manufacturing, and quality domains, the timing for building that foundation has never been more critical. The companies that prioritize architecture today are the ones that will endure in the long term.
About L7 Informatics For more information, visit L7INFORMATICS.com.
Media Contact
Founded in 2012 and headquartered in Austin, TX, L7
Informatics is redefining digital transformation in life sciences with L7|ESP,
the Enterprise Science Platform built to unify data, orchestrate and automate
workflows, and enable AI operations across R&D, CMC, manufacturing, QC,
diagnostics, and clinical environments. L7|ESP connects the dots between disparate
instruments, software, and teams by providing a single digital scientific
platform with flexible data modeling, extensive API integrations to fit
seamlessly into any ecosystem, and a full suite of built-in applications,
including LIMS, ELN, MES, Inventory, and Scheduling.
Jessica Tobey
L7 Informatics
jessica.tobey@l7informatics.com
