Dotmatics Lab Data Automation for Chemicals & Materials

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Modular R&D Infrastructure

Your R&D digitalization strategy shouldn’t boil down to deploying either a LIMS or an ELN. With Dotmatics’ unified platform you can take a modular approach, expose the right functionalities to your R&D teams depending on where they are needed in the workflow, rather than have scientists adapt to rigid single-purpose systems.

Dotmatics lab data automation ensures that scientists get rapid access to high quality data, fast. With Dotmatics,  you can rethink how your R&D infrastructure should connect instrument data with  samples and experiments. This results in a platform strategy that makes your labs more efficient by automating manual instrument data transfers, tedious/repetitive data processing tasks, giving your scientists more time to innovate. It also creates a foundation for  data-driven R&D by providing access to more complete, high quality data.

Your challenges

Do you need to

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Boost individual productivity?

Lab technicians often spend too much time getting data from instruments, doing repetitive pre- and post-processing work, and administering the data after it’s generated. The challenge is that lab instruments are rarely homogeneous, requiring management of different file formats, control computers and analysis tools.

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Get results to scientists faster?

After lab work is completed, it is frequently still difficult for scientists to access results. With multiple instruments generating data in different formats and performing analyses to different standards, it is hard for scientists to effectively use analytical data to support their decision-making processes.

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Increase data quality?

Since managing analytical data is so difficult, in practice only a fraction of the data is retained. This makes it almost impossible to reproduce results at a later stage, or to leverage past analytical data for data mining, machine learning/artificial intelligence efforts, or any other data-driven R&D initiatives.


With Dotmatics you can

icon Automate instrument data acquisition

Dotmatics Lab Data Automation automatically transfers data from instruments and into a secure cloud storage. From this cloud storage, you can serve up data to end users for faster and better decision making, or make them available to data-driven R&D efforts such as machine learning/artificial intelligence (ML/AI).

  • Acquire and synchronize hundreds of terabytes of files and equipment logs
  • Upload data from instrument PCs to secure storage
  • Acquire instrument data directly from instrument software system e.g. Empower, Unicorn etc…
  • Enable partners and collaborators to transmit results and reports in real-time
  • Securely store files and data in a cloud hosted data lake
  • Search and browse the document repository

icon Build end-to-end workflows

Dotmatics Lab Data Automation directly connects to Dotmatics Unified Platform. This means that project and data scientists can have direct access to lab data, while lab technicians can focus on running experiments efficiently without having to worry about manually transferring data from instruments,

  • Instrument files can be automatically associated to the experiments that initially defined sample testing conditions. Or
  • Instrument data can be sent into a new experiment automatically, without any human intervention required
  • Calculations such as curve fits and curve classifications are automatically triggered
  • No manual experiment creation, data loading or analysis. The scientist is presented with a completed experiment to review and refine
  • Files are available via RESTFul API – automatic, secure and lossless

icon Support data-driven R&D initiatives



  • Fully automated data processing from instrument to experiment eliminates human error and ensures clean data are feeding your AI/ML models
  • Full datasets that contain raw files, parsed data, results and analysis are easy to access for decision support and drill down
  • Datasets creation rules are customizable. Want a dataset that is automatically created based on your custom business or workflow rules? This system allows it.

Customer Success Stories

icon Mass Spec Core Facility

A Mass-Spec core facility at a large pharma company implemented the BioBright solution to capture and process the 700Gb – 1Tb of files they were producing per week. They replaced a process that required scientists to manually load their data into a data store and then manually analyse it – taking each scientist 2-3 days per week

With the Biobright solution

  • Data collection was sped up by 63x times
  • Each scientist saved two-thirds of their time formerly spent on manual processing
  • Data was automatically QC’d and dashboards ready for review within seconds of the analysis completing
  • Operational analysis and dashboards allowed instrument drift to be detected and scientists to develop novel system suitability metrics for high value samples


This solution consists of

iconDotmatics Darwin Sync

Dotmatics Darwin Sync is responsible for getting your instrument data off instruments and into the Dotmatics Darwin Cloud.

  • Darwin Sync client installs on PCs connected to instruments, in the cloud or at partner sites
  • Encrypts files and securely uploads to the cloud
  • Direct API connections for instrument software platforms (e.g. Empower, Unicorn etc.)
  • Stores files in a secure data lake on the cloud
  • Search and browse for files

iconDotmatics Darwin Cloud

Dotmatics Darwin Cloud manages and pre-processes instrument data that has been previously gathered by Dotmatics Darwin Sync.

  • Parse and extract data and metadata from file and non-file based systems
  • Define and apply QA/QC workflows to the data
  • Build lightweight dashboards and visualization apps for operational insights
  • Rapidly integrate data into other applications via APIs (e.g. ELN, image analysis, assay data management, …)

iconDotmatics Studies Notebook

Dotmatics Studies Notebook is an Electronic Laboratory Notebook (ELN) with flexible templating to capture, store and search experiments from all scientific disciplines.

  • Flexible protocols (implemented as templates) allow the single ELN to accommodate highly structured experiments such as synthetic chemistry and protein purifications, as well as more ad hoc experiment types often useful for target identification and discovery biology experiments. Ad hoc experiments are also often used to support a transition from paper based notebooks
  • Dotmatics Studies Notebook allows for collaboration on experiments by multiple scientists within or between organizations

iconDotmatics Browser

Dotmatics Browser is a powerful web-based search and reporting solution that provides federated searching across Dotmatics and third party research databases, enabling research scientists to access all of their data whenever they need it, irrespective of where it is stored.

  • Provides scientific search, such as chemical substructure and similarity.
  • Manages project level and personal search forms and views, queries, lists and reports.
  • Powerful scientific data visualization as forms, tables and charts.

iconDotmatics Inventory

Dotmatics Inventory is a fully searchable sample and reagents inventory that tracks chemicals, biologics, instruments and associated data across a hierarchy of locations and manages the dispensing and plating workflows, as samples are moved through an R&D process.

  • Defines a hierarchy of storage locations for an organization
  • Track samples in containers such as bottles and plates in those storage locations
  • Manages research materials, reagents and assets
  • Manages the aliquoting and dispensing workflows to distribute samples for testing
  • Maintains a full audit trail
  • Allows for searching and reporting on inventory information alongside other corporate data

iconDotmatics Cascade

Dotmatics Cascade manages the requesting and assignment of laboratory tasks, and tracking the progression of samples, across multiple teams within an organization or across a collaborating network.

  • Dotmatics Cascade allows organizations to define available services, such as assay execution or analysis and the associated scientific team
  • Scientists create requests for services and submit compounds Service managers manage, group and assign requests for execution
  • Service team scientists accept requests, create and autopopulate experiments to execute them
  • Teams can see request status and monitor compound or sample progression

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