
Pluto
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
investor | €0.0 | round | |
* | $3.6m | Early VC | |
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 14 % | 125 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Pluto.bio is a cutting-edge startup operating in the bioinformatics sector, providing a digital lab space for scientific teams. The company's primary service is to facilitate computational biology analyses, allowing users to organize, query, and monitor biological data. This platform is designed to serve high-velocity scientific teams, enabling them to collaborate on discoveries and apply them across various fields.
The company operates in the rapidly growing bioinformatics market, catering to the needs of scientists and researchers who require efficient and reliable tools to analyze and interpret biological data. Pluto.bio's business model revolves around providing a user-friendly platform where users can upload raw data files and generate interactive, customizable, high-resolution plots. This service significantly reduces the time taken to transform raw data into publication-ready plots, thereby increasing productivity.
Pluto.bio also offers an API for users who prefer to write their own scripts, providing them with the flexibility to conduct deeper explorations. The platform supports both high-throughput and low-throughput assays, accommodating a wide range of scientific experiments. Additionally, Pluto.bio prioritizes data privacy and security, ensuring that users can securely share their results with collaborators and vendors.
The company generates revenue by offering these services to scientific teams. By providing a platform that simplifies and accelerates the process of bioinformatics analysis, Pluto.bio positions itself as a valuable tool in the scientific community.
Keywords: Bioinformatics, Computational Biology, Data Analysis, Scientific Collaboration, High-throughput Assays, Low-throughput Assays, Data Privacy, Data Security, Biological Data, Digital Lab Space.