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Dotmatics Introduces Luma Antibody & Protein Engineering Solution for End-to-End Antibody Discovery

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The first in a series of Dotmatics Luma Multimodal R&D Solutions

Geneious has been seamlessly composed into Luma showcasing cross-therapeutic capabilities within a unified platform

BOSTON, Oct. 22, 2024 /PRNewswire/ — Dotmatics®, a leader in R&D scientific software connecting science, data, and decision-making, today announced the launch of Dotmatics Luma™ Multimodal R&D Solutions in support of the discovery and development of therapeutics across multiple modalities of biopharmaceutical science. The first solution is the Luma Antibody & Protein Engineering solution, a comprehensive end-to-end solution for streamlining the antibody discovery and development process, with an emphasis on monoclonal and multispecific antibodies.

The Luma Antibody & Protein Engineering Solution and other future multimodal solutions combine the Dotmatics Luma Scientific Intelligence Platform and key Dotmatics scientific tools, thoughtfully composed within Luma. Together, these solutions will offer researchers a multimodal approach to therapeutic discovery supporting CAR-T cell discovery, siRNA, antibody-drug conjugates (ADCs), CRISPR therapeutics, and vaccine discovery.

“Increasingly our customers are asking for tools that support multiple modalities of therapeutic discovery,” said Michael Swartz, Chief Strategy Officer at Dotmatics. “Scientists want to pick the best therapy or combination of therapies to address a particular target by researching and testing across different domains of science – not just one. Dotmatics gives them a scientific intelligence platform that is natively built to support this.”

These multimodal Luma solutions will leverage capabilities from Dotmatics’ best-in-class scientific software products including Geneious®, GraphPad® Prism, OMIQ®, Protein Metrics Byos®, and FCS Express®, composed to work together harmoniously within Luma, enhancing overall functionality without friction. This approach allows researchers to use familiar tools while eliminating data and process silos, creating a more cohesive and collaborative environment.

Introducing Geneious Luma

The first of these scientific products seamlessly composed within Luma and being introduced today is Geneious Luma. With Geneious Luma, researchers will have access to analyze and visualize DNA, RNA, and protein sequences from Geneious Prime, and the antibody discovery and screening capabilities of Geneious Biologics.

Geneious Luma, and the other future Dotmatics scientific products composed within Luma, will each come pre-configured to work seamlessly within Luma, while allowing IT and scientists to compose their own sequence of sophisticated low-code actions, eliminating the need for lengthy customization or complex integrations. As a result, researchers can benefit from the end-to-end solution immediately. In addition, these products will be available to license together with the Luma platform and will include out-of-the-box Luma applications to fill critical gaps in the end-to-end workflow, including:

Multimodal Registration: Versioned, entity-specific, and extensible registration models driven by linked ontologies allow for the highest levels of scientific depth and precision. Luma links these models to how scientists naturally work, so registration happens automatically and asynchronously, along with the tracking and storage of experimental and product-related information throughout the research and development process. When test results indicate a synthesized molecule does not match the design, Luma can modify the linked registered entity without losing lineage or context of the original.Unified Results: All relevant project data—such as molecule designs, characterization data, assay data, endpoint data, and registered materials—can be correlated and unified into normalized data structures and customizable dashboards to quickly make decisions about which antibodies are best to advance. This happens automatically as people work, eliminating the need for hours of data wrangling currently implicit in activities from registration to analysis.Customer Apps: Customers can safely extend Dotmatics Luma apps or create their own low-code apps to contextualize, flow, and correlate data from disparate sources in ways that suit their needs – with scientifically smart dashboards and visualizations to match. These apps follow industry standard SDLC processes and FAIR data principles to make getting data into and out of Luma in a governed way simple and straightforward. Data integration options include REST, GraphQL, and JDBC.Artificial Intelligence: Luma will include significant generative and predictive ML capabilities for dry lab and wet lab tasks that customers can define and extend. Assistive GenAI will help customers accelerate the introspection, summarization, and visualization of their data. Domain-specific AI will allow Luma to leverage protein prediction, flow cytometry autogating, and other scientifically-focused models within their workflows. Composite AI will allow the use of multiple models or data sets generated from independent models to be brought together for higher order model training, selection, and execution.

The Luma Antibody & Protein Engineering Solution

By composing Geneious Luma and other scientific products within Luma, Dotmatics can offer researchers with a new solution for addressing the complexities of antibody and protein engineering.

“The Luma Antibody & Protein Engineering solution addresses long-standing gaps in the antibody discovery workflow by providing an end-to-end process that seamlessly composes many of scientists’ favorite tools directly into Luma,” said Kalim Sailba, Chief Product Officer at Dotmatics. “Researchers can now streamline workflows from planning and in-silico design to wet lab production, validation, and data analysis, all within a unified AI-native platform.”

The following products, composed within Luma, will support the Luma Antibody & Protein Engineering solution:

Geneious Luma: Enables researchers to use the advanced bioinformatics, molecular biology, and antibody discovery capabilities of Geneious Prime® and Geneious Biologics® to annotate and filter sequences and to design constructs. Then, seamlessly working together with Luma, researchers can execute their cloning, expression, and purification tasks using Luma’s Adaptive Workflow capabilities.

Customers will also have access to BioGlyph®, following Dotmatics’ recent investment, enabling the design and generation of multispecific antibody formats and the execution of predictive machine learning models to score potential multispecific antibodies, allowing researchers to explore all combinations of multispecific formats and proceed with only those that are most promising.

Prism Luma: Leverage GraphPad Prism, the industry-leading data analysis software, for antibody assay development and screening. This product includes native normalization and pre-processing of results prior to analysis in Prism (mitigating the need to use Excel) and contextual linking between assay results, registered materials, and experimental context.Byos & Byosphere Luma: Use Protein Metrics Byos, a comprehensive software for streamlining protein characterization, to characterize protein structures and behaviors for higher fidelity, then feed these characterizations back into predictive machine learning models to drive the next round of synthesis. Also leverage Protein Metrics Byosphere enterprise platform to combine biotherapeutic mass spec data, analysis, and reporting and to curate, interrogate, and share information gained in the analytical lab from Byos.Luma Lab Connect: Automate data ingestion from lab instruments including flow cytometry, liquid chromatography, mass spectrometry and other data sources. Lab Connect auto-associates instrument results with the correct workflow steps, materials, and endpoint data, mitigating a common manual pain point of SDMS and LIMS systems today.Flow Luma: Use OMIQ, the modern flow cytometry solution, to evaluate the molecular properties of antibody candidates, the cells that produce them, and phenotype their therapeutic outcomes.

Expanding Beyond Biopharma

The future use of Dotmatics Luma extends beyond biopharma and drug discovery into broader scientific domains, like material science and chemistry, industrial biotech, and agritech. Every solution built on the Luma platform ensures a unified user experience and seamless work and data flows, helping organizations achieve scientific breakthroughs faster and with greater accuracy. By delivering a cohesive and scalable platform, Dotmatics aims to support researchers across multiple industries, fostering innovation and collaboration.

Forward Looking Statements  

This press release contains forward-looking statements that are intended to outline our general product strategy. It is intended for informational purposes only and speaks only as of the date the statements are first published. It is not a commitment to deliver any functionality and should not be relied upon for making purchase decisions. You should not put any contractual reliance on these statements. The development, release, and timing of any products or capabilities remains at the sole discretion of Dotmatics.

No representation or warranty, express or implied, is provided in relation to the fairness, accuracy, correctness, completeness or reliability of the information, opinions or conclusions expressed herein. Only those representations or warranties that are made in or pursuant to one or more definitive agreements involving the parties will have any legal effect.

About Dotmatics
Dotmatics is a leader in R&D scientific software connecting science, data, and decision-making. Its enterprise R&D platform and scientists’ favorite applications drive efficiency and accelerate innovation. More than 2 million scientists and 10,000 customers trust Dotmatics to help them create a healthier, cleaner, safer world. Dotmatics is a global team of more than 800 people dedicated to supporting its customers in over 180 countries. Dotmatics has made 14 acquisitions since 2017. The company’s principal office is in Boston, with 14 offices and R&D teams located around the world.

Dotmatics is backed by Insight Partners, a leading global venture capital and private equity firm investing in high-growth technology and software scaleup companies. Learn more about Dotmatics, its platform, and applications including GraphPad Prism, Geneious, SnapGene, Protein Metrics, and LabArchives at https://www.dotmatics.com.

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SOURCE Dotmatics Inc

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Consilient Expands Access to Federated AI-Powered Financial Crime Solutions in AWS Marketplace, Including for Use in AWS GovCloud (US)

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Consilient’s Federated AML and fraud detection, synthetic financial-crime data, SAR analysis, and open-source intelligence are now available through AWS Marketplace

WASHINGTON, Nov. 9, 2026 /PRNewswire/ — Consilient, the leading provider of federated AI-powered financial-crime discovery and detection technology, today announced that its solutions are now available in Amazon Web Services (AWS) Marketplace, including for use in AWS GovCloud (US). The offering provides financial institutions, fintechs, and U.S. government organizations with a streamlined way to discover, procure, and deploy Consilient’s capabilities through AWS Marketplace.

Customers now have access to Consilient’s Federated AI ecosystem and four complementary products:

Federated Learning Models and Exchange: Behavioral machine-learning models, deployed and shared through a secure federated network that continuously improve by learning across institutions and data sets, without any data moving or leaving the institution’s environment. Covering core anti-money laundering (AML) typologies and specific high-risk financial criminal and fraud activities, the Consilient models also surface hidden risks and emerging typologies that no single institution could detect alone.Federated Synthetic Data: Realistic, labeled examples of rare, emerging, and underrepresented financial-crime risks to support model development, evaluation, and improvement when historical cases and data are limited.SAR Analyzer: AI-assisted analysis of Suspicious Activity Report (SAR) narratives to connect related entities and cases, uncover recurring risk patterns, and turn investigative findings into reusable detection opportunities.OSINT Agent: Open-source and external intelligence on individuals, businesses, ownership, and relationships to help investigators assess risk with fuller context.

Customers can now deploy Consilient flexibly within their AWS environment, taking advantage of shared insights through Consilient’s federated exchange and capabilities while ensuring data remains local, secure, and private.

“Financial-crime teams need more effective and dynamic ways to find emerging risks without compromising sensitive data or adding unnecessary friction to procurement. In proven deployments at Tier-1 financial institutions, Consilient has improved efficiency by 75% and increased detection effectiveness by 4x, uncovering hidden risks that existing systems simply cannot see. Availability in AWS Marketplace makes it easier for financial institutions and government agencies to access these capabilities on a continuous basis, including our newer SAR Analyzer and Federated Synthetic Data products, within the secure, compliant infrastructure they require,”  Ajit Tharaken, Chief Executive Officer, Consilient.

Consilient’s availability in AWS GovCloud (US) reflects growing demand from U.S. government agencies and regulated institutions for financial-crime detection capabilities that meet the highest standards of security and compliance, areas where federated learning’s data-local architecture is a natural fit for cloud infrastructure.  Consilient allows for more dynamic public-private insight sharing and feedback without having to share or move data.

Consilient’s federated learning approach allows approved model updates and insights to strengthen detection across participating institutions without transferring the underlying customer data. Industry estimates suggest existing rules-based systems generate false positive rates of up to 98%, creating enormous operational overhead for compliance teams.  Consilient’s federated capabilities enable more efficient and effective risk discovery.

Consilient’s wider portfolio combines its federated approach with AI-assisted investigation, external intelligence, and synthetic data to address structural inefficiencies of current approaches and support the detection of complex, emerging financial-crime risks dynamically. Consilient’s solutions are now deployable within AWS infrastructure.

To learn more about Consilient’s offerings, visit Consilient.com or view its listing in AWS Marketplace at https://aws.amazon.com/marketplace/pp/prodview-3goaqbwjfiffo.

About Consilient
Consilient is the first company to apply federated AI for the detection and prevention of financial crime and fraud risk.  Consilient’s mission is to transform how the world prevents financial crime. 

Consilient enables financial institutions and regulators to transform financial crime detection by learning from patterns of behavior across institutions and borders, without ever sharing or moving data. Using federated learning, Consilient generates collective and constantly improving insights across data sets, making dynamic industry-wide collaboration to detect financial-crime risk possible for the first time. It reveals complex and emerging threats that cannot be detected within the boundaries of any single institution, improving risk discovery, increasing precision, and enabling more effective prioritization while maintaining strict data privacy and governance standards.

Co-founded and chaired by Juan Zarate, the first-ever U.S. Treasury Assistant Secretary for Terrorist Financing and former Deputy National Security Advisor for Combating Terrorism, Consilient was built to address the structural limitations of siloed detection systems and offer a more effective, collaborative, and systemic approach to preventing financial-crime and fraud while strengthening data privacy.

Learn more at Consilient.com.

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SOURCE Consilient Inc

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InventHelp Inventor Develops New Finger Blood Pressure, Pulse, Oximetry Device (CLR-357)

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PITTSBURGH, Nov. 9, 2026 /PRNewswire/ — “I’m a registered nurse, and I thought there could be a way to obtained three vital signs in one easy step,” said an inventor, from Romeoville, Ill., “so I invented the FINGER BLOOD PRESSURE, PULSE, OXIMETRY DEVICE. My design offers a simple and accurate way to frequently monitor blood pressure, pulse rate, and oxygen saturation.”

The invention provides an improved means to monitor vital signs in medical settings, at home, as well as when on the go. In doing so, it can be used to monitor the pulse, oxygen saturation, as well as blood pressure. As a result, it saves time and effort, and it eliminates the need to employ multiple devices. The invention features a practical design that is easy to use so it is ideal for the medical facilities, households, on-the-go individuals, and the general population.

The original design was submitted to the Chicago sales office of InventHelp. It is currently available for licensing or sale to manufacturers or marketers. For more information, write Dept. 25-CLR-357, InventHelp, 100 Beecham Drive, Suite 110, Pittsburgh, PA 15205-9801, or call (412) 288-1300 ext. 1368. Learn more about InventHelp’s Invention Submission Services at http://www.InventHelp.com.

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SOURCE InventHelp

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DongA Science turns 40 years of science journalism into AI tutor AiR NOVA, a CES 2027 honoree

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AiR NOVA answers K-12 students’ science questions using more than 100,000 articles written by DongA Science’s own journalists, showing the source article behind each answer.Launching in January 2027 on web, iOS and Android in Korean, English, Vietnamese and Spanish.

AiR NOVA’s Tutor answers a question about a newly named Korean dinosaur and shows the source article behind the answer. Background imagery is AI-generated.

SEOUL, South Korea, Nov. 9, 2026 /PRNewswire/ — DongA Science, a South Korean science media company that has published science magazines since 1986, has built an AI tutor on its own journalism. AiR NOVA, which answers students’ science questions from the company’s archive and shows the source article behind each answer, has been named a CES Innovation Awards® 2027 Honoree in the EdTech category, the company announced today.

As news publishers around the world weigh how their reporting should be used by AI, DongA Science took a different route by turning its archive into an exclusive learning product. Rather than drawing on the open web, AiR NOVA sources its answers from more than 100,000 articles reported and verified by the company’s science journalists over the past 40 years. This archive spans its magazine archive and daily science news, allowing students to verify where each answer originated. Furthermore, students using AiR NOVA in English, Vietnamese or Spanish receive answers in their selected language, alongside the translated source article from the Korean original.

To learn more about AiR NOVA’s CES 2027 recognition and explore its AI-driven educational features, visit nova.dongascience.com/intro or watch the introductory video at www.youtube.com/watch?v=03EsRqmuASQ.

Three Ways to Keep Students Asking

AiR NOVA is designed for K-12 students and integrates three core AI functions into a single app:

Tutor answers questions with verified sources. For instance, if a student asks, “Are new dinosaurs still being discovered?” Tutor explains at their grade level how the Doolysaurus was named in 2026 as Korea’s third new dinosaur species, and then displays the reference article.Socrates is a patent-pending Socratic-dialogue mode that replies with guiding questions instead of direct answers, encouraging students to reason their way to an explanation in their own words. Students can also upload their inquiry reports, prompting Socrates to ask questions that walk them back through their conclusion process.Coach sustains the inquiry process beyond the initial answer. Students work through missions tied to specific articles, which involve predicting, asking questions, checking sources, explaining and reflecting.

In the Classroom

Teachers can utilize Coach to structure lessons around articles that match their curriculum, build worksheets and missions, and track each student’s participation and results via comprehensive reports. This significantly reduces the time required to prepare inquiry-based lessons.

At launch, AiR NOVA’s science and math content will align with South Korea’s national curriculum, the U.S. Next Generation Science Standards (NGSS), the Common Core State Standards for Mathematics (CCSSM), Cambridge International and the International Baccalaureate (IB). AiR NOVA will be available in January 2027 on web, iOS and Android platforms, requiring no dedicated device. Pricing details will be announced at a later date.

Built on a Proven Service in South Korean Schools

AiR NOVA is the global edition of DongA Science AiR, the company’s established AI science inquiry service in South Korea. The school edition, DongA Science AiR edu, is currently utilized by more than 20,000 students across 170 schools, who collectively complete an average of 5,000 inquiry activities per month. DongA Science developed AiR NOVA based on this extensive operational experience and direct feedback from educators, including practicing teachers collaborating through a classroom problem-solving project run by the Korea Education and Research Information Service (KERIS), a South Korean public agency.

The Korean service was honored with the Minister of Science and ICT Award at the 2024 Digital Service Frontier Awards, while its school edition received the Minister of Education Award at the 2026 K-EduTech Contest.

Showcasing at CES 2027

AiR NOVA will be featured in the Korea Pavilion at CES 2027, taking place Jan. 6-9, 2027, in Las Vegas. During the event, DongA Science plans to connect with global education institutions and edtech companies.

“This CES Innovation Awards honor reflects our long-standing effort to combine the science content we have built up over many years with AI technology to solve real problems in education,” said Kyung-ae Jang, CEO of DongA Science. “We want students around the world to start from a small spark of curiosity and discover the joy of inquiry with AiR NOVA, and we want teachers to be able to design inquiry lessons without the extra burden.”

The CES Innovation Awards program, produced by the Consumer Technology Association (CTA), honors outstanding design and engineering in consumer technology products.

About DongA Science

DongA Science is a leading South Korean science media company that connects science journalism with AI technology to broaden how people learn. Starting with its flagship magazine, Science DongA, launched in 1986, it publishes science and math magazines for children and teens and, together with its daily science news, has built an archive of more than 100,000 science articles over 40 years. Content reported and verified by its science journalists is the foundation for building trustworthy AI education products. On that foundation, the company operates the AI science inquiry service DongA Science AiR in South Korea and will launch its global edition, AiR NOVA, in January 2027.

Website: www.dongascience.com/en
About AiR NOVA: nova.dongascience.com/intro
Video: www.youtube.com/watch?v=03EsRqmuASQ

CES® is a registered trademark of the Consumer Technology Association (CTA)®.

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SOURCE DongA Science

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