Dotmatics provides Luma, an AI‑native research platform that centralizes and structures scientific data from instruments, ELNs, LIMS, and third‑party tools while offering low‑code, drag‑and‑drop workflows. Its built‑in Luma Agent interprets natural‑language requests to plan and execute analyses, configure data models, and generate audit‑ready reports with full lineage, ensuring traceability and compliance for R&D teams in pharma, biotech, and materials science.
Funding
Funding not disclosed
Founders
Product
Problem
Scientific research teams struggle with fragmented, unstructured data across instruments, software tools, and departments, leading to time‑consuming manual data handling, limited collaboration, and difficulty generating reproducible, audit‑ready results.
Solution
Dotmatics offers Luma, an AI‑native, multimodal research platform that unifies data management, adaptive workflows, and advanced analytics. By capturing experimental context at the point of work and integrating with existing scientific software, Luma structures and normalizes diverse data types. Built‑in AI agents, such as Luma Agent, can interpret plain‑language requests, plan and execute analyses, configure data models, and generate complete documentation with full lineage. Every data‑modifying action is logged and requires user approval, ensuring traceability and compliance. The platform provides a low‑code, drag‑and‑drop interface for custom dashboards, ontology management, and instrument integration, enabling scientists to focus on discovery while the system handles data integration, analysis, and reporting.
Target Audience
Primary users are R&D scientists, data managers, and analysts in pharmaceutical, biotech, and materials science organizations who need integrated data management, AI‑driven analysis, and compliant reporting across multidisciplinary projects.
Features
- Centralized, structured data capture from instruments, ELNs, LIMS, and third‑party tools (e.g., SnapGene, Geneious) with full metadata and ontology support
- Adaptive, low‑code workflows that flexibly adjust to multimodal data and non‑linear research processes
- Luma Agent: AI co‑scientist that plans, runs analyses, configures data models, and produces audit‑ready reports from natural‑language prompts
- Embedded AI for dataset summarization, classification, trend detection, and domain‑specific tasks (flow cytometry, cheminformatics, bioinformatics)
- Full audit trail and human‑in‑the‑loop approval for every data‑write operation, supporting FAIR and regulatory compliance
- Drag‑and‑drop visual dashboards and customizable scientific visualizations for rapid insight generation
- Open ecosystem with APIs and integrations to existing scientific software, enabling seamless data exchange and governance