
Lpixel
Provides top-tier image analysis and medical image diagnostic solutions.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Late VC | |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | (23 %) | - |
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
LPIXEL is a Japanese company that develops and provides AI-powered medical imaging diagnostic support software. The company's solutions are targeted at researchers and professionals in the life science industry, including pharmaceutical companies and medical institutions.
LPIXEL's core technology is based on the integration of artificial intelligence and advanced image analysis. The company offers a cloud-based image analysis platform called IMACEL, and a medical image diagnostic support AI named EIRL. These tools are designed to facilitate the efficient and accurate analysis of medical and biological images, such as MRI and CT scans, to assist in the detection of diseases and support drug discovery research.
The company operates in the medtech and digital health markets. Its business model is likely based on providing its software as a service (SaaS) to its clients, which include both academic research institutions and commercial enterprises. LPIXEL generates revenue by charging for access to its image analysis platforms and by providing specialized solutions to pharmaceutical companies.
Keywords: medical imaging, artificial intelligence, life sciences, image analysis, diagnostic support, medtech, digital health, SaaS, pharmaceutical, research