Dotmatics

Dotmatics

Dotmatics provides a cloud-based R&D platform designed to unify scientific data, workflows, and insights across the drug discovery and development lifecycle. Its suite of best-of-breed applications integrates data from lab instruments, electronic lab notebooks (ELNs), and third-party systems into a single, secure repository. The platform enables scientists and data teams to collaborate, analyze complex datasets, and accelerate research from target discovery to clinical development. Key capabilities include a connected data ecosystem, AI-powered analytics, and workflow automation tools tailored for biology, chemistry, and formulation R&D. The software is built to handle massive, heterogeneous scientific datasets and enforce data integrity and compliance. It targets R&D organizations in pharmaceutical, biotech, and materials science industries seeking to modernize their digital infrastructure.

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Added on
Sep 22, 2026
R&D PlatformData AnalyticsELN IntegrationCloud SaaS
Product information

Everything worth knowing about Dotmatics

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Unified R&D Platform
Provides a single, connected ecosystem for scientific data, replacing siloed applications and manual data transfers.
Data Insights & Analytics
Enables researchers to analyze complex datasets, visualize results, and extract actionable insights from experiments.
Best-of-Breed Applications
Offers specialized, integrated tools for tasks like electronic lab notebooks (ELN), data management, and assay analysis.
Digital Transformation for R&D
Guides and supports the transition from paper-based and legacy systems to modern, digital-first scientific workflows.
Technical capabilities
Cloud-Native Architecture
Built on a modern, scalable cloud infrastructure for reliability, performance, and reduced IT overhead.
Must watch videos
AI alone will not accelerate science: structured data in drug discovery
22:43
Tutorial22:43
AI alone will not accelerate science: structured data in drug discovery
A binding affinity number without its provenance isn't a data point. It's a guess. Christian Olsen, VP of Strategy for Protein Therapeutics at Dotmatics, explains why structured scientific work, not more compute, is what makes AI reasoning trustworthy in biologics research and development. Using a multi-specific antibody program against an Alzheimer's target, he shows what breaks when the process, the material, and the decisions behind a result go uncaptured: protocol logic stays in a scientist's head, results arrive with no lot or lineage attached, and nothing downstream can tell why one variant advanced and three others were dropped. He then walks through the alternative. A closed loop where design intent, wet lab execution, and results all sit against the same process model, so knowledge travels with the molecule from first experiment to last batch. See how Luma structures scientific work: https://www.dotmatics.com/luma/artificial-intelligence #DrugDiscovery #Biologics #AIinScience
Delivering Insights to Accelerate Protein Engineering
29:20
Tutorial29:20
Delivering Insights to Accelerate Protein Engineering
This presentation introduces Dotmatics Luma, an AI-native platform designed to accelerate antibody discovery and development. The speaker discusses how Luma addresses the challenge of fragmented data across research organizations by providing a connected ecosystem that integrates design, process, and results. The platform features BioGlyph, a visual design tool that uses building blocks to create composable antibody formats, enabling rapid iteration and collaboration. Key capabilities include tracking scientific relationships and lineages, integrating experimental data with design data, and leveraging Agent Luma for AI-powered data interrogation. The presentation covers a hypothetical Alzheimer's treatment scenario using anti-transferrin antibodies to deliver therapeutic enzymes across the blood-brain barrier. Future enhancements include format rescue functionality for annotating legacy sequences and early-phase analysis integration. The platform aims to enable 'lab in the loop' workflows that accelerate the journey from scientific ideas to innovation through better collaboration, resource planning, and data-driven decision making.
Affinity Selection Mass Spectrometry  From Fundamentals to Confident Hit Identification
34:35
Tutorial34:35
Affinity Selection Mass Spectrometry From Fundamentals to Confident Hit Identification
This webinar provides an overview of Affinity Selection Mass Spectrometry (ASMS), a binding assay technique for identifying noncovalent compound binders to target proteins. The presentation covers the fundamentals of ASMS workflow, which involves mixing target proteins with compound libraries, using two-dimensional LC-MS separation, and identifying hits through mass spectrometry. The speaker discusses the benefits and limitations of ASMS, including its label-free nature and flexibility, as well as challenges with data analysis when dealing with hundreds of compounds in single wells. The main focus is on Versidian's improvements to their Analytical Studio software, particularly workflow automation enhancements that streamline sample list generation, data transfer, and initial processing. Key improvements include automated cross-hit filtering that eliminates false positives 70-80% faster than previous versions, and new KD analysis capabilities for dose-response curve analysis. The presentation demonstrates how the automated workflow reduces manual steps while maintaining accuracy in hit identification and confirmation.

Who uses it

Real use cases, no hype
Centralized Lab Data Management
Aggregate and govern experimental data from all sources into a single, searchable repository.
Cross-Functional Data Discovery
Enable chemists, biologists, and data scientists to find and analyze connected datasets.
Automated Data Capture & LIMS
Replace paper and spreadsheets with automated workflows for sample tracking and results capture.
AI/ML-Ready Data Foundation
Structure and prepare high-quality R&D data for advanced analytics and predictive modeling.
Regulatory Submission Support
Generate audit-ready reports and manage data lineage for FDA/EMA submissions.
What's great
  • Unifies R&D data across all lab instruments and systems.
  • Provides a single platform for data capture, analysis, and decision-making.
  • Strong focus on scientific data integrity and compliance.
Technical strengths
  • Modular application suite allows targeted adoption.
  • Supports complex ontologies and structured data models for R&D.
Where it falls short
  • Enterprise-grade platform with a complex, often opaque pricing model.
  • Implementation and integration can be lengthy and require expert consultancy.
  • User interface can feel less modern compared to SaaS-native tools.
Technical limitations
  • Vendor lock-in risk due to proprietary data schemas and integrations.
  • Requires significant IT overhead for on-premise deployments.
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
It's a platform for unifying scientific R&D data, managing experiments, and accelerating discovery through better data insights and collaboration.

Traffic Insights

Monthly Visits

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October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Search

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview
Paid Pricing

Dotmatics Pricing

Dotmatics uses a paid pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Dotmatics
Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
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Capterra
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Product Hunt
Not reviewed yet
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