Genoox
A healthcare and technology company on a mission to make clinical genetic sequencing more accessible.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
* | $70.0m Valuation: $70.0m | Acquisition | |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | 10 % | 3 % | 15 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Genoox operates in the genomic data analysis market, providing a cloud-based platform that translates complex genetic data into clinical results. The platform is designed to manage the sequencing process from raw genetic data to actionable insights, making it a valuable tool for healthcare professionals and researchers. Genoox serves clients such as hospitals, research institutions, and clinical laboratories, offering them an efficient workflow for data analysis. The business model is subscription-based, with clients paying for access to the platform's premium features, including unlimited sample analysis, storage, and various data processing tools. Genoox generates revenue through these subscriptions and offers a 14-day free trial to attract new users. The platform's key features include multiple variant calling and validation tools, an annotation engine, and automated genotypic and phenotypic correlation. Genoox also provides professional services and support to ensure clients can maximize the platform's capabilities.
Keywords: genomic data, cloud-based platform, NGS analysis, clinical insights, healthcare, research institutions, subscription model, data processing, variant calling, annotation engine.