
PipeBio
No-code SaaS for bioinformatics and drug development.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |
DKK | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
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: Company filings or news article
Related Content
PipeBio is a startup that operates in the biotechnology sector, offering a cloud-based bioinformatics software platform. This platform is designed to automate workflows and analyze sequences such as BCR, TCR, VHH, scFv, or peptides. Essentially, it helps scientists and researchers in the field of biotechnology to identify candidate sequences from large-scale antibody repertoires, hybridoma sequencing, and biopanning experiments.
The platform also allows users to store antibody sequences in a central database and associate metadata like target specificity and binding affinity. This data can then be compared with new experimental sequences or those found in public databases. PipeBio's software can be integrated with other tools such as ELN, LIMS, and internal tools through its REST API, making it a versatile tool for biotech research.
PipeBio's business model is likely based on a subscription or licensing model, where clients pay to access and use the platform. Its clients are primarily researchers and scientists in the biotechnology field, including those working on vaccine development and antibody research.
In summary, PipeBio is a cloud-based bioinformatics software provider that helps biotech researchers automate workflows, analyze sequences, and store and compare data. It operates in the biotechnology market and likely generates revenue through a subscription or licensing model.
Keywords: Bioinformatics, Cloud-based, Sequence Analysis, Antibody Research, Vaccine Development, Workflow Automation, Data Storage, Biotechnology, Subscription Model, Integration.