Parhelia Biosciences | Undisclosed Amount | (Oct 18, 2023)
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Code Ocean
United States
- New York, New York
- 27/05/2022
- Series B
- $16,500,000
Code Ocean is where great computational research is created, organized, and shared in one place. It is the best way for research teams to standardize research workflow, plus track and reproduce all computations and discoveries. Research and development organizations benefit from lower IT costs, automation to operationalize reproducibility, and saving wasted researcher and collaboration time.
Our mission is to make computational research a connected community that together drives for faster, more collaborative, higher quality discoveries.
For the first time, researchers, engineers, developers and scientists can track and share reproducible code, data, results, and a working computational environment with the associated article and project. We assign a Digital Object Identifier (DOI) to the algorithm allowing for correct attribution and connect it to the published research.
- Industry Software Development
- Website https://codeocean.com/
- LinkedIn https://www.linkedin.com/company/code-ocean/
Related People
Simon AdarFounder
United States -
New York, New York
Researcher turned entrepreneur. Founded Code Ocean as part of my postdoc at Cornell-Tech, Cornell University, raised money from Battery Ventures and other amazing investors. I have the privilege to work with extraordinary mission driven talent to empower researchers with easy to use computational tools so that their work is efficient, reproducible and collaborative to achieve faster and higher quality discoveries. We’re honored to power computational reproducible research for leading publishers and biotech/chemtech organizations such as Nature, AACR, IEEE, Sema4, CytoReason and Champions Oncology.
My background is in signal and image processing, hyperspectral imaging and spectroscopy. I previously worked with the German Space Agency (DLR) and other research institutions around Europe during my PhD.
Passionate about research, scientific innovation, data science, machine learning and cloud computing.
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