The Scientific R&D Platform Powered by AI
Luma is an AI-native, low-code scientific R&D platform that integrates diverse scientific software and multimodal data to enable adaptive workflows, break down data silos, and accelerate research innovation through advanced predictive and generative AI, comprehensive data management, instrument integration, and flexible, domain-focused scientific processes.
The AI-Native Multimodal Research Platform for Scientific Intelligence
Luma is designed to streamline scientific research with adaptive R&D workflows powered by AI and seamless data integration.
A Powerful, Seamless Integration
Luma integrates with a variety of scientific software, offering a composable, low-code platform tailored to unique scientific needs.
Luma Empowers Efficiency and Innovation in Research
- Adapt seamlessly to workflow variability:
- Customize and streamline research processes with workflows that flexibly adjust to both multimodal data and operational needs.
- Eliminate silos across multimodal data and departments:
- Enhance collaboration and efficiency by breaking down barriers between data sources and departmental structures.
- Accelerate outcomes while reducing costs:
- Drive faster time to market with cost-effective solutions and spearhead groundbreaking discoveries.
Enhance Insights with AI for R&D
Leverage advanced predictive and generative AI in R&D to transform scientific discovery with intelligent, data-driven decisions.
Key Components of the Luma Scientific Intelligence Platform
- Data Management & Processing:
- Efficiently handle, normalize, and structure diverse data types, from unstructured to fully structured, facilitating seamless data relationships and insight extraction.
- Adaptive Workflows:
- Enable flexible and creative scientific processes with workflows that adjust to user operations, supporting non-linear steps and dynamic research environments.
- Artificial Intelligence:
- Leverage cutting-edge AI to enhance decision-making and innovation, featuring assistive, domain-focused, and integrated multimodal AI capabilities.
- Instrument & Data Integration:
- Integrate data across multiple sources, including instruments and databases, ensuring comprehensive data accessibility and utilization using Luma Lab Connect.
- Material & Ontology Management:
- Manage materials and ontologies efficiently, supporting asynchronous updates and the evolution of concepts without disrupting user workflows.
- Tailored User Experience:
- Design personalized interfaces with drag-and-drop functionality for charts, dashboards, and scientific visualizations, enhancing usability and decision support.
Customer Impact
Dotmatics Luma Flow Cytometry Workflow Revolutionizes Data Analysis
A leading US pharma organization overcame technical hurdles in flow cytometry data management and analysis with Dotmatics' Luma Flow Cytometry Workflow. By automating data acquisition and enhancing data accessibility, the team saved multiple hours per scientist each week and accelerated their analysis processes.
Request a Demo of Dotmatics Luma
Get in touch with the Dotmatics team to see the Luma R&D data management platform in action.
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.
Luma Antibody & Protein Engineering Solution for End-to-End Antibody Discovery
Dotmatics has launched the Luma Antibody & Protein Engineering Solution, the first in its Luma Multimodal R&D Solutions series, which integrates the Dotmatics Luma Scientific Intelligence Platform with key tools like Geneious, GraphPad Prism, and others to streamline and unify antibody discovery and development—particularly for monoclonal and multispecific antibodies—while supporting a broad range of therapeutic modalities including CAR-T, siRNA, ADCs, CRISPR, and vaccines within a collaborative, multimodal research environment.
Data Evolution in Pharma: The Spread of Multimodal
The pharmaceutical industry is shifting from single-mode to multimodal drug discovery, incorporating diverse therapeutic modalities like biologics, gene therapies, and small molecules, but this evolution presents significant challenges in integrating heterogeneous R&D data and technologies, necessitating advanced, compatible platforms to enable efficient collaboration and leverage AI-driven insights for faster, cost-effective drug development.
The Data Lifecycle: From Instrument Integration to Advanced Analysis
The article discusses how Dotmatics Luma™, a comprehensive scientific data platform, addresses the challenges faced by R&D teams in managing and integrating diverse, multimodal scientific data from instruments and various sources to streamline the entire data lifecycle—from ingestion and processing to advanced analysis—thereby enabling faster, AI-ready insights that accelerate innovation and research outcomes.
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.
Dotmatics Mini-Summit: From Insights to Impact
The Dotmatics Mini-Summit: From Insights to Impact is a 90-minute digital event featuring CEO Thomas Swalla and experts demonstrating Dotmatics Luma, a no-code, multimodal data platform that automates aggregation of diverse research data from thousands of instruments and software, enables easy data modeling, streamlines scientific workflows, offers upcoming AI-powered natural language search, and supports FAIR data principles, followed by a live Q&A session.