R&D Solution for Digital Transformation
Luma Agent is an AI-driven R&D solution that automates complex scientific data analysis, workflow configuration, and documentation by connecting seamlessly with existing systems to deliver structured, governed, and audit-ready insights in minutes, thereby accelerating digital transformation in scientific research.
Agentic AI for Science with the Right Foundation
Most AI gives you answers. Luma Agent delivers the result. Describe what you need, whether it's analyzing data, generating reports, or configuring the platform itself. Luma Agent plans, executes, and completes the work. Every step is logged. Every action is yours to approve.
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Luma Agent Builds What Your Science Needs Next
Describe a data model, workflow, or dashboard and Luma Agent configures it, from writing the underlying logic, setting up task types, and delivering it ready to use.
Complex Data Analysis. No Queue Required
Describe what you're trying to understand. Luma Agent builds a plan, queries across your entire scientific record, and returns a structured report with full reasoning visible.
From Scattered Data to Ready-to-Use Insight
A single request sets Luma in motion. It finds the data, applies your rules, and delivers everything back where you're already working, ready for analysis in minutes, not hours.
Documentation That Finishes Itself
The agent traces the full lineage of your experiment and generates a complete, audit-ready report. Ready to verify, not build from scratch.
Open Ecosystem
Connect Everything Through Luma
Luma connects to the systems you already use across your stack, while keeping every data exchange structured, traceable, and governed.
This isn’t just moving data between tools. It’s making sure your data stays structured, governed, and ready for any AI, including the ones your team is already building.
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Luma Agent
Complex Data Analysis Completed in Minutes
- 8+ hours → 1-5 min
- Answer any scientific question
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Experience the Powerful Simplicity of Dotmatics Solutions Across Scientific Disciplines
Biology
Enable teams to easily and collaboratively capture and track high volumes of data in order to make the best-informed decisions across biologic drug discovery modalities.
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Chemistry
Simplify discovery and development, from hit and lead identification to developing a new drug, so project teams can make better informed decisions based on your data.
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Chemicals & Materials
Designed and built for use directly by researchers, supporting decision making that brings premium products to market sooner, at a lower cost.
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More than 2 million researchers use our scientific solutions.
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Connect Science, Data, and Decision-Making
- Bioinformatics
- Cheminformatics
- Data Analysis and Visualization
- ELN
- Flow Cytometry
- Multimodal Science
- Proteomics
- Bioinformatics
SnapGene
Design, visualize & document core molecular biology procedures.
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Geneious Prime
Comprehensive suite of molecular biology and sequence analysis tools.
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Geneious Biologics
Cloud-based antibody screening, analysis and visualization solution.
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SoftGenetics
Genetic analysis software for research, forensics & healthcare applications.
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Our Customers Are Using Technology and Data to Drive Change in the World
Customer Stories
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Modernizing Flow Cytometry Analysis to Accelerate Oncology R&D Innovation
- Discover how a major US pharma organization streamlined its flow cytometry data management and improved collaboration with the Dotmatics Luma flow cytometry workflow, achieving significant time savings and enhanced data insights.
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Creating Novel Small Molecule Drugs for Patients with Central Nervous System Diseases
- Discover how Addex Therapeutics transformed their R&D efficiency and data management with Dotmatics, enabling faster innovation and substantial time savings.
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Uniting Data Processes to Drive Collaborative Innovation
- See how Krystal Biotech enhanced productivity and collaboration in their R&D teams by implementing the Dotmatics ELN and Data Discovery Platform, driving innovation in redosable gene therapies for rare diseases.
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BASF Advances Sustainable Agriculture with Dotmatics R&D Workflows
- Discover how BASF Agricultural Solutions enhanced their R&D IT infrastructure with Dotmatics, to drive sustainable agriculture through a unified data-centric platform.
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Recommended Resources
- Dotmatics Signs Definitive Agreement to be Acquired by Siemens: Dotmatics to be acquired by Siemens, marking a pivotal step toward accelerating AI-driven innovation in the life sciences industry. [Read More]
- Five Years Later: The Impact of COVID-19 on Drug Discovery: Post-COVID R&D is agile, flexible, and collaborative. The AI-native Dotmatics Luma Platform helps teams achieve these all, and thrive in this new era. [Read More]
- 3 Drug Discovery Trends We’re Watching in 2025: Uncover the trends and tools that will shape the future of drug discovery in 2025 by downloading this ebook. [Read More]
- The State of Chemicals and Materials Today: Discover how to overcome siloed data and complex workflows in the chemicals & materials industry. Download the ebook to learn how advanced, chemically... [Download]
Related
How Luma Lab Connect Automates Lab Data Acquisition Across 100+ Instruments
Dotmatics Luma Lab Connect, part of the Dotmatics Luma multimodal scientific R&D platform, automates and streamlines the acquisition, management, and preparation of complex, multimodal lab data from over 100 diverse instruments and sources, addressing challenges of data security, integrity, and usability to enhance research productivity and enable FAIR data practices within a unified, low-code SaaS environment.
Harnessing Data and AI for Scientific R&D
The article explains that successful AI-driven life sciences R&D in 2025 hinges on trusted, well-governed, multimodal data integrated into automated, workflow-embedded AI tools, requiring collaboration between data and scientific intelligence—as exemplified by Dotmatics and Databricks’ partnership enabling low-code scientific apps and flexible workflows to overcome data silos and improve data quality, consistency, and usability for accelerated research.
Dotmatics introduces Luma Agent: the AI co-scientist built on structured scientific data
Dotmatics has launched Luma Agent, an AI co-scientist integrated into its Luma Scientific Intelligence Platform, which leverages structured, ontology-backed scientific data to autonomously plan, execute, and manage complex scientific workflows—including data analysis, reporting, and platform configuration—delivering fully traceable, verifiable, and reproducible results with human-approved actions to accelerate lab work from days to minutes while ensuring governance and accountability.
Artificial Intelligence for Science: Empower R&D with Luma's Intelligent Insights
Luma AI empowers scientific R&D by integrating domain-specific artificial intelligence directly into workflows to capture structured experimental data with full context, enabling fast, traceable, and reliable analysis through its embedded AI tools and the Luma Agent, which autonomously plans, executes complex analyses, configures data models, and generates documentation tailored to life sciences domains like flow cytometry, cheminformatics, and bioinformatics.
Limitations of Existing Life Science Software—and the Opportunity to Evolve
Existing life science software tools like ELNs, LIMS, and SDMS, while essential for digitizing workflows and managing data, are limited by their siloed, non-real-time, and non-AI-integrated designs, presenting an opportunity to evolve by integrating them into unified, intelligent platforms—such as Dotmatics Luma—that enable connected, workflow-aware, multimodal scientific intelligence with adaptive workflows, real-time data flow, and cross-functional insights without replacing core systems.
Luma Platform Overview
Luma is a versatile multimodal scientific intelligence platform that supports diverse scientific disciplines and techniques by enabling low-code app creation with configurable workflows, data integration, AI/ML capabilities, and secure governance, facilitating scientific discovery and R&D across fields such as drug discovery, materials science, and biotechnology through adaptive, API-driven infrastructure and tailored user experiences.