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.
Late last year, Dotmatics introduced Dotmatics Luma™, a multimodal scientific R&D platform designed to help teams collect, manage, and use their scientific data more efficiently. Developed with input from scientists, database administrators, and IT experts, Luma is an out-of-the-box, low-code, SaaS platform that addresses common obstacles to research productivity, data-driven innovation, and AI readiness.
A significant challenge for many companies is collecting R&D data from various lab instruments, equipment, systems, and CROs. As multimodal R&D becomes more essential for innovation, and data flows in from diverse research groups and technology sources, this challenge grows. Companies may need to support hundreds or thousands of lab-data producers, collect large volumes of complex data, handle encrypted and vendor-specific outputs, and prepare and annotate diverse data so scientists can use it effectively. IT and database administrators often juggle numerous scripts, parsers, and data-wrangling tasks, while scientists wait for the data needed to progress their work. Manual, time-consuming data transfer and preparation processes can threaten data security, integrity, and completeness, ultimately compromising downstream research.
Streamlining data acquisition and preparation is essential for companies aiming to establish FAIR data practices, ensure data integrity, and optimize multimodal, data-driven R&D. To address this, Dotmatics created Luma Lab Connect—the first-available product within the Dotmatics Luma platform.
Complete Data-Lifecycle Management on One Platform
Luma unites the entire data-analytics lifecycle—from initial ingestion, to centralized data management and processing, to advanced modeling and analysis—within a unified platform. This enables seamless lab integration, accelerating the journey from instrument to insight.
Data Acquisition
Luma Lab Connect integrates with virtually any data source, including instruments, scientific applications, ELNs, libraries, registries, files, and CRO uploads, to pull in data of any volume, type, or format (structured, semi-structured, unstructured, sequence, numeric, text, image, metadata, etc.).
Luma Lab Connect can upload directly from any equipment from any manufacturer and:
- Works with any file-based instrument, equipment, or scientific system (e.g., liquid chromatography mass spectrometers, flow cytometers, bioreactors, cell analyzers, imagers, plate viewers, etc.).
- Uploads files from Windows, Linux, or S3 buckets automatically, continuously, and securely.
- Integrates with SQL/JSON/CSV data sources.
- Provides APIs to build additional integrations.
Cloud Processing
Luma Lab Connect automates the processing of ingested data, making it quickly ready for downstream use and deeper analysis. All major processing for files in Luma is cloud-based, enabling operation at scale and minimizing impact on instrument operations.
- Ingests data from 100+ instruments using out-of-the-box parsers, requiring no additional configuration and reducing errors and time spent moving data.
- Offers out-of-the-box data models, or allows you to build your own, to transform inaccessible, manufacturer data formats into usable, structured representations.
- Lets you extend functionality with easy-to-use, low-code capabilities to adapt as data needs change and use-cases evolve.
Deeper Analysis
Luma Lab Connect integrates directly with the Dotmatics Luma multimodal R&D data-management platform to facilitate downstream use and deeper analysis. The Luma Platform unites tools needed to find, share, and output harmonized data into workflows, specialty apps, analytics and modeling programs, AI/ML algorithms, and more, enabling researchers to quickly gain insights to optimize R&D efforts.
The Luma Platform:
- Augments and correlates test results from instruments with additional data from external systems to support better decision-making.
- Is built on robust technologies, including AWS, Databricks, and Datadog, to ensure performance, quality, and scale.
- Automates data wrangling and extracts data via JDBC, AWS EventBridge, Apache Nifi, or out-of-the-box GraphQL and REST APIs to drive FAIR data.
- Provides data access through a web client or open APIs for searching and downloading.
- Offers out-of-the-box visualizations for data analysis and decision making, or allows integration with third-party visualization tools.
- Automates data management, analysis, and reporting steps to streamline operations and enable meta-analysis and AI/ML-based algorithms.
- Integrates with leading scientific tools such as OMIQ, Geneious, and Prism for high-value workflows.
- Allows users to create and execute queries using natural language and GenerativeAI for advanced analysis of complex relationships.
- Secures data in transit and at rest to protect valuable assets.
The Luma Lab Connect Effect
Connecting labs and automating data flows with Luma Lab Connect helps companies:
- Eliminate errors from manual data entry.
- Free scientists from tedious, low-value tasks.
- Empower discovery with a single, shared, trustworthy data hub.
Luma Lab Connect is the first step toward optimizing data-driven, multimodal R&D by:
- Providing a fast, scalable, and reliable instrument-integration and connected-lab solution.
- Enabling automatic linking of test results to experiments.
- Automating acquisition of terabytes of data from dozens to thousands of data producers.
- Transforming millions of raw data points into contextualized, analyzable data.
- Reducing the burden on lab IT staff and administrators.
- Delivering scientists the data they need for R&D without long wait times.
- Ensuring collection of error-free, auditable data for deeper modeling and analysis.
Request a Demo
Schedule a demo to see how Luma Lab Connect and the Luma scientific data-management platform can help your teams improve multimodal-research productivity, optimize data-driven innovation, and ensure AI-readiness.
Related
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.
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.
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.
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.
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.
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.