DNAnexus Inc.
DNAnexus combines expertise in cloud computing and bioinformatics to create a global network for genomic medicine.
| USD | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 17 % | - | 30 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
DNAnexus is a technology startup that operates in the biomedical sector, providing a platform for precision health data analysis. The company's primary clientele includes biomedical organizations looking to accelerate their scientific discoveries. DNAnexus offers a comprehensive solution for managing, analyzing, and collaborating on multimodal data, which is data from different sources or formats. This helps clients unlock valuable insights to improve patient care.
The company operates on a business model that provides clients with a secure environment to run predictive analytics, using artificial intelligence (AI) and machine learning algorithms. This helps to accelerate insight generation and improve decision-making. DNAnexus also offers pre-built tools and apps to save time and accelerate analyses.
In addition to this, the company provides support for multiple workflow languages and the ability to integrate clients' own tools. This allows for a streamlined experience for both technical and non-technical teams. DNAnexus also offers a powerful cohort browser and integrated JupyterLab notebooks for deep dataset analysis.
The company's revenue model is likely based on a subscription or usage-based fee for access to its platform and tools. DNAnexus claims that its customers can experience a 395% return on investment (ROI), indicating a strong value proposition for its services.
Keywords: Biomedical, Precision Health Data, Multimodal Data, AI, Machine Learning, Predictive Analytics, Workflow Languages, Cohort Analysis, Data Visualization, Bioinformatics.