DataCebo

DataCebo

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Making Synthetic Data a Reality. Learn more

Financials

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth--83 %
EBITDA000000000000
Profit000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000
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DateInvestorsAmountRound
N/A

$0.0

round
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round
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$8.5m

Seed
Total Funding000k

Recent News about DataCebo

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DataCebo is a pioneering startup that operates in the field of synthetic data generation for enterprises. The company's primary offering is a comprehensive generative artificial intelligence (AI) platform that enables businesses to create and manage their own generative AI applications. This platform is particularly useful for enterprises that deal with large volumes of tabular data, as it allows them to perform 90% of their data work using synthetic data.

Synthetic data, in simple terms, is artificially generated data that mimics the characteristics of real-world data. It is used in scenarios where using real data is either impractical or poses privacy concerns. DataCebo's platform uses advanced machine learning models to generate this synthetic data, providing a powerful tool for businesses to use in their data analysis and decision-making processes.

DataCebo's business model is based on providing access to its generative AI platform. The company makes money by charging enterprises for using its platform to generate synthetic data. This model allows DataCebo to serve a wide range of clients, from small businesses to large corporations, across various markets.

DataCebo also places a strong emphasis on community and user feedback. The company has an active community of users who provide valuable input, which DataCebo uses to continuously improve its software and services.

In summary, DataCebo is a dynamic startup that provides a powerful generative AI platform for synthetic data generation, serving a broad spectrum of enterprises across various markets.

Keywords: Synthetic Data, Generative AI, Tabular Data, Machine Learning, Data Analysis, Enterprise Data Work, User Feedback, Community, Data Privacy, Business Decision-Making.