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Connect your scientific tools, instruments, and multimodal data sources to streamline collaboration, automation, and analysis, accelerating R&D and driving towards groundbreaking discoveries.</p></div></div></div></div><section class="py-5 SectionLumaAI_section__OTS7_"><div class="py-3"><div class="container-xl"><div class="row"><div class="col"><h2 class="m-0 fs-1 fw-light text-center lh-sm text-white mb-5">Luma, the AI-native multimodal <br/>scientific intelligence platform</h2></div></div></div><div class="container-xl customContainer"><div class="row my-5"><div class="col text-center"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/pages/home/r&d_platform_luma.svg" class="w-100" loading="lazy" decoding="async"/></div></div><div class="row mb-5"><div class="col-12 col-md-4 mb-4 mb-md-0"><div class="p-4 p-md-4 p-lg-5 h-100 bg-black bg-opacity-25"><div class="fs-4 fw-medium text-white mb-3">Embrace adaptive R&D Workflows</div><div class="fs-6 text-white lh-base">Customize workflows to fit your specific research needs. Seamlessly integrate various scientific disciplines, enhance collaboration, and drive agile outcomes across your organization.</div></div></div><div class="col-12 col-md-4 mb-4 mb-md-0"><div class="p-4 p-md-4 p-lg-5 h-100 bg-black bg-opacity-25"><div class="fs-4 fw-medium text-white mb-3">Leverage the power <br />of AI</div><div class="fs-6 text-white lh-base">Luma enables you to make faster, more informed decisions through AI-driven predictive analytics and advanced data processing capabilities, designed to enhance precision and accelerate your path to discovery.</div></div></div><div class="col-12 col-md-4"><div class="p-4 p-md-4 p-lg-5 h-100 bg-black bg-opacity-25"><div class="fs-4 fw-medium text-white mb-3">Innovate freely <br />using your data</div><div class="fs-6 text-white lh-base">Luma supports easy collation and organization of data, enabling you to perform complex data analyses and turn your data into actionable insights.</div></div></div></div><div class="row justify-content-center"><div class="col-auto"><a class="Button_buttonLink__VSxKi Button_typePrimary__vpUo2 Button_sizeLarge__JWDCU" href="/luma">Learn More</a></div></div></div></div></section><section class="py-5"><div class="py-3"><div class="container-xl"><div class="row"><div class="col"><h2 class="m-0 fs-1 fw-light text-center lh-sm mb-5">Experience the powerful simplicity of Dotmatics <br/>solutions across scientific disciplines</h2></div></div></div><div class="container-xl customContainer"><div class="row row-cols-1 row-cols-sm-3"><div class="col mb-4"><div class="position-relative"><div class="position-relative"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/pages/home/bg-biology.png" class="w-100" alt="" loading="lazy" decoding="async"/></div><div class="position-absolute top-0 start-0 end-0 bottom-0 m-0 m-lg-3"><div class="position-absolute top-0 start-0 end-0 bottom-0 mt-4 mb-5 mx-3"><div class="position-absolute top-0 start-0 py-1 px-2 py-xl-2 px-xl-3 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class="position-absolute top-0 start-0 py-1 px-2 py-xl-2 px-xl-3 fw-bold text-white bg-dotmatics-color-6 rounded-5 fs-6">Chemistry</div><div class="position-absolute start-0 bottom-0"><div class="fs-6 text-white lh-base">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.</div><div class="mt-3"><a class="fs-6 fw-semibold text-white text-decoration-none" href="/solutions/small-molecule-discovery">Learn More <i data-icon="angle-right" class="fa-angle-right fa-solid fa-undefined" style="color:#2EC99B"></i></a></div></div></div></div></div></div><div class="col mb-4"><div class="position-relative"><div class="position-relative"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/pages/home/bg-chemmaterials.png" class="w-100" alt="" loading="lazy" decoding="async"/></div><div class="position-absolute top-0 start-0 end-0 bottom-0 m-0 m-lg-3"><div class="position-absolute top-0 start-0 end-0 bottom-0 mt-4 mb-5 mx-3"><div class="position-absolute top-0 start-0 py-1 px-2 py-xl-2 px-xl-3 fw-bold text-white bg-dotmatics-color-6 rounded-5 fs-6">Chemicals & Materials</div><div class="position-absolute start-0 bottom-0"><div class="fs-6 text-white lh-base">Designed and built for use directly by researchers, supporting decision making that brings premium products to market sooner, at a lower cost.</div><div class="mt-3"><a class="fs-6 fw-semibold text-white text-decoration-none" href="/solutions/chemicals-materials-science-software">Learn More <i data-icon="angle-right" class="fa-angle-right fa-solid fa-undefined" style="color:#2EC99B"></i></a></div></div></div></div></div></div></div></div></div></section><section class="py-5"><div class="py-3"><div class="container-xl customContainer"><div class="row align-items-center mb-5"><div class="col-12 col-md mb-4 mb-md-0 text-center text-md-start"><div class="fs-3 fw-medium">More than 2 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decoding="async"/></div></div><div class="swiper-slide swiper-slide-duplicate" data-swiper-slide-index="4"><div class="border rounded-3 d-flex align-items-center justify-content-center logos-carousel_logoBox__TI3_L"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/companies/sanofi.svg" class="w-75 h-auto" alt="" loading="lazy" decoding="async"/></div></div><div class="swiper-slide swiper-slide-duplicate" data-swiper-slide-index="5"><div class="border rounded-3 d-flex align-items-center justify-content-center logos-carousel_logoBox__TI3_L"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/companies/merck.svg" class="w-75 h-auto" alt="" loading="lazy" decoding="async"/></div></div><div class="swiper-slide swiper-slide-duplicate" data-swiper-slide-index="6"><div class="border rounded-3 d-flex align-items-center justify-content-center logos-carousel_logoBox__TI3_L"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/companies/senestech.svg" 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logos-carousel_logoBox__TI3_L"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/companies/nasa.svg" class="w-75 h-auto" alt="" loading="lazy" decoding="async"/></div></div><div class="swiper-slide swiper-slide-duplicate" data-swiper-slide-index="13"><div class="border rounded-3 d-flex align-items-center justify-content-center logos-carousel_logoBox__TI3_L"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/companies/moderna.svg" class="w-75 h-auto" alt="" loading="lazy" decoding="async"/></div></div><div class="swiper-slide swiper-slide-duplicate" data-swiper-slide-index="14"><div class="border rounded-3 d-flex align-items-center justify-content-center logos-carousel_logoBox__TI3_L"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/companies/mit.svg" class="w-75 h-auto" alt="" loading="lazy" decoding="async"/></div></div></div></div></div></div></section><section class="py-5 SectionOurSoftware_section__4lvZO bg-dotmatics-color-6"><div class="py-3"><div class="container-xl"><div class="row"><div class="col"><h2 class="m-0 fs-1 fw-light text-center lh-sm text-dotmatics-color-2 mb-5 position-relative z-1">Connect science, data, and decision-making</h2></div></div></div><div class="container-xl customContainer position-relative z-1"><div class="row mb-5"><div class="col"><div class="rounded-4 border border-dotmatics-color-2"><div class="row align-items-center"><div class="col-12 col-lg-3"><div class="border-end border-dotmatics-color-4-10 bg-black-color-15 py-5 h-100"><div class="row row-cols-2 row-cols-lg-1"><div class="col"><div class="py-3 text-dotmatics-color-2 bg-dotmatics-color-2-15 cursor-default"><div class="px-3">Bioinformatics</div></div></div><div class="col"><div class="py-3 text-white cursor-pointer"><div class="px-3">Cheminformatics</div></div></div><div class="col"><div class="py-3 text-white cursor-pointer"><div class="px-3">Data Analysis and Visualization</div></div></div><div class="col"><div class="py-3 text-white cursor-pointer"><div class="px-3">ELN</div></div></div><div class="col"><div class="py-3 text-white cursor-pointer"><div class="px-3">Flow Cytometry</div></div></div><div class="col"><div class="py-3 text-white cursor-pointer"><div class="px-3">Multimodal Science</div></div></div><div class="col"><div class="py-3 text-white cursor-pointer"><div class="px-3">Proteomics</div></div></div></div></div></div><div class="col"><div class="px-4 ps-lg-0"><div class="fs-3 fw-light text-white my-4">Bioinformatics</div><div class="row row-cols-1 row-cols-md-2 row-cols-xl-4"><div class="col mb-4 mb-xl-0"><div class="border border-dotmatics-color-4-10 border-dotmatics-color-2--hover rounded-3 bg-black-color-15 h-100 px-4 py-4 py-xl-5 text-white fs-6 lh-base"><div class="d-flex align-items-end flex-column h-100"><div class="d-flex align-items-center mb-4 h-32p w-100"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/logos/snapgene-logo.svg" class="w-auto mh-100" alt="" loading="lazy" decoding="async"/></div><div class="mb-4">Design, visualize & document core molecular biology procedures</div><div class="mt-auto"><a href="/solutions/snapgene"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/icons/arrow-right.svg" loading="lazy" decoding="async"/></a></div></div></div></div><div class="col mb-4 mb-xl-0"><div class="border border-dotmatics-color-4-10 border-dotmatics-color-2--hover rounded-3 bg-black-color-15 h-100 px-4 py-4 py-xl-5 text-white fs-6 lh-base"><div class="d-flex align-items-end flex-column h-100"><div class="d-flex align-items-center mb-4 h-32p w-100"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/logos/geneious-prime-logo.svg" class="w-auto mh-100" alt="" loading="lazy" decoding="async"/></div><div class="mb-4">Comprehensive suite of molecular biology and sequence analysis tools</div><div class="mt-auto"><a href="/solutions/geneious-prime"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/icons/arrow-right.svg" loading="lazy" decoding="async"/></a></div></div></div></div><div class="col mb-4 mb-xl-0"><div class="border border-dotmatics-color-4-10 border-dotmatics-color-2--hover rounded-3 bg-black-color-15 h-100 px-4 py-4 py-xl-5 text-white fs-6 lh-base"><div class="d-flex align-items-end flex-column h-100"><div class="d-flex align-items-center mb-4 h-32p w-100"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/logos/geneious-biologics-logo.svg" class="w-auto mh-100" alt="" loading="lazy" decoding="async"/></div><div class="mb-4">Cloud-based antibody screening, analysis and visualization solution</div><div class="mt-auto"><a href="/solutions/geneious-biologics"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/icons/arrow-right.svg" loading="lazy" decoding="async"/></a></div></div></div></div><div class="col mb-4 mb-xl-0"><div class="border border-dotmatics-color-4-10 border-dotmatics-color-2--hover rounded-3 bg-black-color-15 h-100 px-4 py-4 py-xl-5 text-white fs-6 lh-base"><div class="d-flex align-items-end flex-column h-100"><div class="d-flex align-items-center mb-4 h-32p w-100"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/logos/soft-genetics-logo.svg" class="w-auto mh-100" alt="" loading="lazy" decoding="async"/></div><div class="mb-4">Genetic analysis software for research, forensics & healthcare applications</div><div class="mt-auto"><a href="https://softgenetics.com"><img src="https://cdn.dotmatics.com/nextjs/1.0.0_1575/assets/img/icons/arrow-right.svg" loading="lazy" decoding="async"/></a></div></div></div></div></div></div></div></div></div></div></div><div class="row"><div class="col text-center"><a class="Button_buttonLink__VSxKi Button_typePrimary__vpUo2 Button_sizeLarge__JWDCU" href="/portfolio">Explore our software</a></div></div></div></div></section><section class="py-5"><div class="py-3"><div 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","marks":[],"data":{}}]},{"nodeType":"heading-3","data":{},"content":[{"nodeType":"text","value":"Empowering scientists with AI and automation","marks":[],"data":{}}]},{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Data preparation is often the unsung hero of data science and scientific discovery—a crucial yet time-consuming step that consumes significant bandwidth. We know that 50% of scientists and data scientists' time is actually spent on data extraction and transformation. They're also five times more likely to repeat experiments due to data issues. TDWI reports that of the top priorities for improving data management and governance, the biggest three are reducing time and cost associated with data collection and preparation (43%), increasing data availability for model development (40%), training and testing, and making it easier for users to operationalize data pipelines and transformation (32%). ","marks":[],"data":{}}]},{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Databricks and Dotmatics are addressing this challenge head-on, leveraging innovative technologies to streamline workflows and empower users to focus on meaningful, value-driven work. We think that scientists should be able to jump straight into their most impactful data science projects. That’s why Databricks has integrated foundational capabilities into its platform, such as built-in quality controls and the innovative Lakehouse Monitoring system—an AI-driven tool for anomaly detection—which allow for seamless orchestration across pipelines. 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This captures both dry and wet lab processes organically, easing downstream data wrangling and allowing researchers to focus on discovery. Data automation is equally tricky, because data automation without a unified platform ultimately leads to silos and fragmentation. It's much harder to wrangle across 50 systems than it is to wrangle within one. 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","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"That means that behind the scenes, large language models (LLMs) auto-describe tables and columns, simplifying workflows for users so they can focus on the more exciting aspects of discovery. ","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"LLMs can combine vast amounts of data.","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" Imagine using AI to harmonize medical literature with internal research data, plus all of the instrument data Dotmatics is able to bring to bear—that creates a really powerful opportunity to build AI powered assistants. Or consider the possibilities of using AI with pre-training models, such as geneformer models to better understand gene expression and network biology. LLMs trained on biological data are now being used to generate proteins or antibodies based on specific characteristics. While we’re still in the early days, its potential is enormous. ","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Retrieval-augmented generation is an exciting development","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":". Retrieval-augmented generation allows AI to find relevant data with simple text queries. Imagine scenarios where teams are looking for the needle in a haystack and want to be able to search through reams of data with just an open text box. By vectorizing data and comparing it to questions, organizations can find exactly what they need quickly. Dotmatics is implementing this functionality in Luma, thanks to native platform support offered by Databricks. ","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Non-generative predictive ML still plays a crucial role. ","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"This is especially true in the lab. It helps predict which molecules will be effective, saving time and resources in the discovery process. And generally thanks to AI, scientists should expect to experience a number of small improvements in routine tasks without ever even knowing the AI is present. ","marks":[],"data":{}}]}]}]},{"nodeType":"heading-2","data":{},"content":[{"nodeType":"text","value":"Beyond tech: Enhancing collaboration through better strategies","marks":[],"data":{}}]},{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Successful collaboration isn't just about technology—it's about people, processes, and aligning on the right business outcomes. You want to create a framework that allows for opinions to be heard and trade-offs to be evaluated. Before diving into tools, it’s critical to first understand: what are the business objectives and outcomes that the collaboration is trying to achieve? Once everyone is clear on the goals, technology can facilitate the necessary debates and decision-making around the data and trade-offs.","marks":[],"data":{}}]},{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Control or security governance","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" is a common challenge that organizations lack when sharing data. This often means that collaborators must learn custom APIs or use tools they’re not comfortable with, hindering effective data analysis. For collaboration to thrive, teams need to be able to use their preferred tools—whether it's a BI tool or Python. 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Hear our panel of experts dive deeper into the ways in which the Dotmatics and Databricks partnership is helping R\u0026D teams optimize their:","marks":[],"data":{}}]},{"nodeType":"unordered-list","data":{},"content":[{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Data acquisition ","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"to consistently and securely collect data and metadata at scale","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Data infrastructure","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" to better organize and manage multimodal data and metadata ","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Data readiness ","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"to reduce the burden of precursory AI data preparation processes","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Data integration ","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":"to enable advanced analysis of complex heterogeneous data with speciality scientific tools and multimodal AI/ML algorithms","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Data governance","marks":[{"type":"bold"}],"data":{}},{"nodeType":"text","value":" to safeguard and track data use across teams and within AI models","marks":[],"data":{}}]}]}]},{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Panelists include:","marks":[],"data":{}}]},{"nodeType":"unordered-list","data":{},"content":[{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Kalim Saliba, Dotmatics, Chief Product Officer","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Michael Sanky, Databricks, VP, Healthcare \u0026 Life Sciences GTM","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"Scott Stunkel, Dotmatics, VP, Engineering - Luma","marks":[],"data":{}}]}]},{"nodeType":"list-item","data":{},"content":[{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"David Stodder, The Data Warehousing Institute (TDWI), Research Fellow","marks":[],"data":{}}]}]}]},{"nodeType":"paragraph","data":{},"content":[{"nodeType":"text","value":"","marks":[],"data":{}}]}]},"thumbnail":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"pzdvlnh8omga"}},"id":"1msrUSOmUaPEW2kaZ4aVtz","type":"Asset","createdAt":"2024-12-18T17:52:15.681Z","updatedAt":"2024-12-18T17:52:15.681Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":7,"revision":1,"locale":"en-US"},"fields":{"title":"Webinar-Building-Breakthroughs-Thumbnail","description":"","file":{"url":"//images.ctfassets.net/pzdvlnh8omga/1msrUSOmUaPEW2kaZ4aVtz/b961e17fe0abb50e0ef490e6e51c7dad/Weinar-Breakthroughs-VideoThumbnail.png","details":{"size":359398,"image":{"width":1280,"height":720}},"fileName":"Weinar-Breakthroughs-VideoThumbnail.png","contentType":"image/png"}}},"timeToRead":"10 min","theme":"Grey","metaTitle":"Harnessing data \u0026 AI for scientific R\u0026D | Dotmatics \u0026 Databricks","metaDescription":"Discover how Dotmatics and Databricks are transforming scientific R\u0026D by unifying data, AI, and automation. 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