
Pyte
Data utilization and sharing platform which preserves the confidentiality of data during the entire data lifecycle.
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 21 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Pyte.ai is a cutting-edge startup that specializes in secure data collaboration solutions for businesses, particularly targeting marketers and data-driven organizations. The company operates in the data privacy and security market, providing a unique platform that allows businesses to collaborate on data without compromising on privacy or control.
Pyte.ai's primary clients are marketers and organizations that rely heavily on data to make informed decisions. These clients often face challenges related to data privacy, control, and security when collaborating with external partners. Pyte.ai addresses these challenges by offering a software solution that ensures data remains encrypted and within the client's environment at all times. This means that businesses can gain valuable insights from their data partnerships without the risk of data leakage or regulatory fines.
The business model of Pyte.ai revolves around providing a tailored data collaboration environment for each client. This involves understanding the client's specific data collaboration needs, working with their InfoSec (Information Security) and IT teams to ensure the security of the system, and maintaining complete data sovereignty and control. Pyte.ai makes money by charging for its software solutions and services, which are designed to minimize risk and maximize the value of data partnerships.
In summary, Pyte.ai offers a secure, encrypted data collaboration platform that allows businesses to maintain full control over their data while gaining valuable insights. This solution is particularly beneficial for marketers and data-driven organizations looking to enhance their decision-making processes without compromising on data privacy and security.
Keywords: data collaboration, data privacy, data security, encrypted data, marketers, data insights, InfoSec, IT teams, data sovereignty, regulatory compliance.