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The Analytical Scientist / Issues / 2025 / November / Automating Analytical Data Workflows in R&D
Innovation Sponsored

Automating Analytical Data Workflows in R&D

Scalable, web-based technology with self-serve automation to harmonize data and accelerate discovery across the enterprise

11/11/2025 3 min read

Sponsored By

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As R&D labs become increasingly digitalized and automated, analytical data remains difficult to manage due to its heterogeneity and complexity. Most scientific data management tools cannot harmonize diverse data types without losing essential chemical context. Automating and scaling these solutions can break down silos and enable realtime data access, but often demands heavy IT resources.

ACD/Labs addresses these challenges with a new generation of web-based technology that extends the Spectrus Platform’s vendor- and techniqueagnostic analytical data management capabilities into the browser. This modern, extensible architecture delivers scalability, accessibility, and enterpriselevel integration.

Alongside these technologies, selfserve automation has emerged – enabling scientists and data engineers to design and implement automated data flows without extensive coding or IT support. This ensures analytical data is standardized, processed, and mobilized efficiently.

With a rich web applications to provide intuitive environments to view, process, and analyze data, this new slate of technology meets scientists’ immediate needs while simultaneously unifying data management and democratizing automation to establish a foundation for AI- and ML-driven discovery.

Ask the Expert

Richard Lee, Director of Core Technology, ACD Labs

What motivates you?

I’m inspired by the opportunity to bridge science and technology in ways that have a meaningful impact on how research is conducted. I’m driven by the challenge of transforming complex analytical data into knowledge that empowers scientists, accelerates decision-making, and fuels innovation. Seeing how our solutions enable organizations to work more efficiently today – and prepare them for the data-driven discoveries of tomorrow – continues to inspire my commitment to advancing this field.

How does your company embody “innovation”?

At ACD/Labs, innovation is embedded in how we approach the scientific and technological challenges of modern laboratories. We focus on developing solutions that not only address today’s needs but also anticipate tomorrow’s requirements. By combining deep expertise in chemistry and informatics, we deliver technologies that unify, standardize, and mobilize analytical data across diverse instruments and environments. Our commitment to innovation is reflected in advancements such as self-serve automation, scalable web-based applications, and integration frameworks that prepare organizations for an AI- and ML-enabled future.

What sets your company apart from other businesses in this space?

ACD/Labs’ foundation in chemistry and pharmaceutical sciences, combined with decades of expertise in analytical data are a key asset. Unlike many vendors who provide generic data platforms, we deliver purpose-built solutions that are both vendor- and instrument-agnostic, capable of unifying raw data across diverse laboratory environments. Our technology not only manages data but also standardizes and enriches it for decision-making and advanced AI/ ML frameworks. This deep scientific context, coupled with continuous innovation in modern technologies, including web-based and automated workflows, distinguishes ACD/Labs as the partner of choice for organizations seeking to transform laboratory data into knowledge and insight.

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