OMIQ
Cloud-based cytometry analysis platform with machine learning.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
* | N/A | Acquisition | |
| Total Funding | 000k | ||
OMIQ develops a cloud-based software platform for flow cytometry data analysis, catering to researchers in biopharma and life sciences. The company was co-founded in 2018 by Chris Ciccolella, a cell biologist with a background in data science and cloud computing, and Dr. Ryan Brinkman, a recognized expert in flow cytometry bioinformatics. OMIQ's platform is designed to streamline the entire analysis workflow, from raw data to statistical results, by combining traditional analysis tools with advanced machine learning algorithms and visualizations. It addresses the challenges of analyzing large, high-dimensional datasets common in modern cytometry.
The platform operates on a SaaS model, offering various subscription tiers, including plans for students, startups, and academic institutions. Key features include tools for classical analysis like gating and compensation, as well as advanced capabilities such as dimensionality reduction (e.g., UMAP, t-SNE), clustering, and automated data cleaning. The cloud-native architecture facilitates collaboration, allowing users to share datasets and analysis workflows securely. OMIQ supports various data formats and offers integrations with other scientific software like GraphPad Prism.
In January 2022, OMIQ was acquired by Insightful Science and is now part of the Dotmatics portfolio, a scientific R&D software platform. This acquisition aims to integrate OMIQ's capabilities into a broader ecosystem of scientific software, enhancing the end-to-end research and development process. While operating as a standalone product, OMIQ connects with other Dotmatics solutions to provide a more comprehensive offering for the scientific community.
Keywords: flow cytometry, data analysis, machine learning, cloud software, bioinformatics, single-cell analysis, SaaS, data visualization, cytometry software, high-dimensional data, GxP, multi-omics, biomarker tracking, automated gating, scientific R&D software, Dotmatics, computational biology, drug discovery, life sciences, data management