
Riffyn
Cloud-based software provides computer-aided process design and advanced data analytics to R&D organizations.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
$15.0m | Series B | ||
Total Funding | 000k |
USD | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 9 % | 29 % | 47 % | (88 %) |
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
Riffyn operates in the scientific research and development sector, providing a cloud-based platform known as Riffyn Nexus for Intelligent Process Development. This platform is designed to help R&D teams, particularly in biopharma and industrial biotech, streamline their processes, improve data integration, and gain actionable insights. By connecting processes, people, and workflows, Riffyn enables faster and more efficient product development cycles. The company serves a diverse range of clients, including top biopharma and industrial biotech companies, who benefit from its advanced data analytics and machine learning capabilities. Riffyn's business model revolves around subscription-based access to its software, along with professional services that include scientific consulting and technical support. Revenue is generated through these subscriptions and additional service fees. The market for Riffyn's services is growing as more companies seek to leverage data-driven insights to accelerate their R&D efforts and bring products to market more quickly.
Keywords: Intelligent Process Development, R&D efficiency, cloud-based platform, biopharma, industrial biotech, data integration, machine learning, scientific consulting, subscription model, workflow optimization.