As R&D organizations grapple with rising costs and declining ROI, short-term fixes like budget cuts and reprioritization can only go so far. Long-term sustainability requires a rethinking of modern research infrastructure – from the individual scientist, to the research group, to the broader enterprise. Even with clear priorities, many companies remain constrained by fragmented systems that can’t support the demands of today’s increasingly complex, multi-domain, AI-aided workflows. Dotmatics helps companies overcome these barriers with a unifying R&D platform that connects diverse tools, data, and teams. By enabling smarter collaboration, better use of proprietary data, and seamless adoption of automation and AI, Dotmatics empowers R&D teams to innovate faster – without sacrificing rigor or control.
In this blog, we take a look at the pitfalls of trying to support modern research with outdated and fragmented R&D technology, and we explore how Dotmatics’ unifying platform has been purposely designed to help deliver transformative change.
Why Legacy Systems Fail Modern Science
As research complexity grows – especially in areas like novel biologics, conjugates, and materials science – the tools, data, and workflows needed to innovate have outpaced the infrastructure that supports them. Teams need an array of sophisticated technologies and diverse data to innovate, but more often than not, the underlying framework tying together those pieces has not evolved alongside the scientific workflows, resulting in incredibly inefficient and frustrating processes. These teams often face:
Fragmented technology that leads to unnecessary complexities: R&D organizations may have hundreds of software applications, each relevant within only some of the multiple domains in which scientists work, with limited standardization and interoperability among the various tools needed to complete a workflow. Even individual researchers may need different standalone solutions for experiment documentation, scientific and statistical analysis, and visualization. The disconnect between these applications slows the research process, obscures insights, and hinders collaboration.
Siloed data that disrupts scientists’ workflows: Fragmented technology from different vendors and systems inevitably results in disconnected workflows and siloed data. At many companies, cumbersome and error-prone manual intervention is needed to gather, prepare, move, and use data, and there are often insufficient overarching standards for structuring, organizing, quality checking, sharing, governing, and securing data.
Complex enterprise architecture that impedes innovation: Optimizing R&D, leveraging AI, and developing enterprise insights requires a united infrastructure; but cohesion is challenging when dealing with diverse technologies. Custom solutions can be costly with lackluster outcomes. Off-the-shelf solutions with narrow scope can’t facilitate multi-domain workflows. Dotmatics is different. Our enterprise R&D platform connects multi-domain science, data, and decision making, helping R&D teams innovate like never before possible.
A Unifying R&D Platform to Meet Individual, Team, and Enterprise Needs
Modern R&D optimization isn’t just about accelerating an array of individual workflows, it is also about enabling collaborative endeavors that span multi-step workflows and require diverse data and technologies. To truly support today’s complex, multi-domain, AI-aided R&D, a solution must both meet individual scientists’ unique needs and deliver the cohesive infrastructure essential for cross-domain workflows and dataflows. With a portfolio of best-in-class scientific applications and the AI-native Luma data management and workflow automation platform, Dotmatics lets R&D teams harmonize all their enterprise data and technologies to work smarter, faster, and more collaboratively.
How is Dotmatics Different from Other Solutions?
Dotmatics delivers a complete enterprise R&D solution in a way that homegrown and narrow vendor solutions cannot. Individual scientists, cross-domain teams, and experts across the wider enterprise all benefit from Dotmatics. A few key elements make this possible.
Dotmatics powers and optimizes advanced science workflows: Dotmatics enhances both the front-end experience and the back-end interoperability of scientific applications – accelerating collaborative workflows across its portfolio of best-in-class scientific tools. The growing Dotmatics portfolio includes numerous best-in-class applications that are beloved by scientists and essential to their work, including Prism, Geneious, SnapGene, Protein Metrics, FCS Express, OMIQ, Easy Panel, M-Star, nQuery, SoftGenetics, Viscidian, Dotmatics ELN, and LabArchives ELN. Beyond this broad portfolio, an open API allows integrations or custom development to support workflows that require alternative applications.
Dotmatics facilitates and streamlines cross-domain collaboration and data sharing: By providing a core platform to unite the varied and sometimes domain-specific software, databases, and instruments within an organization's R&D technology landscape, Dotmatics helps companies streamline cross-domain workflows and harmonize diverse types of data—all without cumbersome custom projects or workaround solutions. This unifying approach is essential to promoting efficiency at not just the individual level, but also at the larger team and enterprise level. It reduces error-prone manual data handling, enables faster knowledge transfer, and drives efficiency from the lab bench to the C-suite.
Dotmatics helps enable and bolster the strategic use of automation, modeling, simulation, and AI: By supporting a more modern and cohesive enterprise architecture, Dotmatics positions organizations to accelerate and inspire their innovation with the aid of automation, modeling, simulation, and AI. The category-defining Dotmatics Luma scientific intelligence platform helps companies push science forward with AI-powered data management and workflow automation for multimodal scientific discovery. With Luma, teams can automate and govern data processes across complex workflows, acquiring diverse data from Dotmatics and third-party instruments, equipment, software, and databases. Luma works to process, normalize, and structure data, readying it for deeper analysis using advanced modeling, simulation, and AI-based approaches that speed up and advance innovation. Luma can adapt to workflow variability and be tailored to individual preferences, providing a personalized experience for any user across the enterprise.
What Is the Impact of Improving R&D Efficiencies with Dotmatics?
R&D organizations can finally transform the traditional discovery funnel by using Dotmatics to digitally modernize their research and data processes. Dotmatics drives efficiencies at every step, letting experts leverage automation and AI to uncover promising candidates faster, identify failures earlier, and ultimately develop safe, effective, and high-potential candidates, all while minimizing time wasted on candidates with low probability of success.
By providing a core platform to unify the multitude of technologies and data needed by different stakeholders across the enterprise, Dotmatics empowers R&D organizations to optimize multimodal workflows, improve cross-domain collaboration, build off existing knowledge, and leverage advanced technologies like AI and automation to work both smarter and faster.
Learn More
To learn more about Dotmatics’ enterprise-spanning solutions, contact us for a demo.