Dotmatics unveils Luma Scientific data platform
Dotmatics, a company specializing in R&D scientific software connecting science, data and decision-making, has unveiled Dotmatics Luma, a scientific data platform that aims to helps scientists and administrators in life sciences unify and analyze large volumes of data for better decision-making.
Luma provides customers an out of the box, low-code SaaS platform that flexibly aggregates all relevant data into intelligent data structures enabling clean, reliable data analysis paving the way for meta-analysis and AI and ML-based algorithms, Dotmatics said.
The company continued, "Rapid growth in the volume of scientific data has created bottlenecks for scientists, who must routinely create workarounds to access data in difficult places requiring them to step away from their primary work of discovery. For scientific organizations, the ROI of R&D has decreased substantially over the past decade, even while technologies have purported to help ROI and aid in digital transformation."
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“Dotmatics is empowering scientists to answer their most difficult questions by delivering an adaptable scientifically-aware data platform that scientists can easily control, and that can handle both the volume and complexity of data at exponential scale,” said Thomas Swalla, CEO at Dotmatics. “Our goal is to help life science companies shorten the drug discovery funnel and reduce the costs of drug therapy R&D from billions to millions of dollars.”
Key features of Dotmatics Luma:
- Low-Code App Building Platform: Built on Databricks, customers can build scientific applications with common design patterns to power the next generation of data science and bench science.
- Your Data: Data is ingested from Dotmatics ELN, instruments in the lab and a variety of other data sources such as animal studies, clinical studies, material registries or other scientific systems. That data can then be modeled, stored, processed or extracted as necessary – all with a governance framework that customers define.
- Maximize the Value of Your Data: Via a data value chain that progressively enriches, correlates, contextualizes and increases the value of your data. Ingest data into raw storage for immediate access in its original unstructured or semi-structured format, model logical tables, columns and relationships to harmonize and establish connections between disparate data silos, execute more advanced data processing and enrichment activities on top of your structured data, and much more.
API First: Supports on-demand access to your data. Choose from REST, GraphQL or JDBC to enable your internal or 3rd party tools, such as Tableau, PowerBI or Spotfire.
The first iteration of Luma that will be made available to customers is Luma Lab Connect, a module that can automatically upload instrument files to a secure AWS account, parse out descriptive metadata and experiment results, and harmonize data from instruments in the same instrument class.
As customers look to future capabilities, Dotmatics will add AI functionality with generative AI query-building options and overtime, predictive and adaptive AI that will greatly augment lab testing and procedures.