Financials

Estimates*

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Revenues, earnings & profits over time
USD2020202120222023
Revenues1.2m4.2m7.3m14.9m
% growth-250 %73 %106 %
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DateInvestorsAmountRound
-

N/A

-
N/A

€1.0m

Early VC
N/A

€7.0m

Seed

$42.7m

Series A
*

$73.0m

Valuation: $400m

Series A
Total Funding€113m

Recent News about Zama

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More about Zamainfo icon
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Zama.ai is a startup that operates in the data security market, providing a unique solution for data privacy through a technology called homomorphic encryption. This technology allows applications to process data without actually seeing it, thereby ensuring the privacy of sensitive information.

Zama.ai's primary offering is the Concrete Framework, a tool that allows data scientists to build models that can run on encrypted data. This means that data scientists can work with sensitive data without having to learn complex cryptography. They simply write their code in Python, and the Concrete Framework converts it into a homomorphic equivalent, which can process the encrypted data.

The company's business model is likely based on providing this encryption service to businesses that handle sensitive data. This could include industries such as healthcare, finance, or any other sector where data privacy is a major concern. By offering a solution that allows data to be processed without compromising privacy, Zama.ai is addressing a significant need in the market.

Zama.ai also offers Concrete ML, a tool that makes it easy to use machine learning models with encrypted data. This tool can be used with models that data scientists are already familiar with, making it a user-friendly solution for data privacy.

In terms of revenue, Zama.ai likely charges its clients for access to its encryption tools and services. The exact pricing model is not clear from the information provided, but it could involve a subscription fee or a charge based on the amount of data processed.

Keywords: Data Privacy, Homomorphic Encryption, Data Security, Python, Data Processing, Machine Learning, Encrypted Data, Concrete Framework, Data Scientists, Subscription Model.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.