DataCebo
Engineering Software · Massachusetts, United States · 11-50 Employees
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Overview
Headquarters
Boston, Massachusetts, United StatesWebsite
www.datacebo.comRevenue
<$5 MillionIndustry
ZI Rank: 1
Signal Type
Dec
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ZI Rank
2
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1
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About DataCebo
DataCebo has just launched SDV Enterprise, a commercial offering of the open source product, Synthetic Data Vault (SDV). With SDV Enterprise, developers can build, deploy and manage generative AI models for enterprise-grade applications when real data is limited or unavailable. SDV Enterprises models create synthetic data that is statistically similar to original data so developers can effectively test applications and train ML models. SDV Enterprise is currently in beta with the Global 2000. is a developer for productivity at enterprises by leveraging generative AI.Explore more
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2023
Angel/Seed
$8.5M
DataCebo Tech Stack
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DataCebo News & Media
DataCebo launches enterprise version of popular open source synthetic data library
Long before most of us were thinking about large language models, DataCebo co-founders Kalyan Veeramachaneni and Neha Patki were creating an open source library called Synthetic Data Vault or SDV for short. The company’s roots go back to 2018 when both were working in the MIT Data Lab. They had a notion that beyond generating […] © 2023 TechCrunch. All rights reserved. For personal use only.MIT startup DataCebo offers tool to evaluate synthetic data
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) spin-off DataCebo is offering a new tool, dubbed Synthetic Data (SD) Metrics, to help enterprises compare the quality of machine-generated synthetic data by pitching it against real data sets. The application, which is an open-source Python library for evaluating model-agnostic tabular synthetic data, defines metrics for statistics, efficiency and privacy of data, according to Kalyan Veeramachaneni, MIT’s principal research scientMIT startup DataCebo offers tool to evaluate synthetic data
MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) spin-off DataCebo is offering a new tool, dubbed Synthetic Data (SD) Metrics, to help enterprises compare the quality of machine-generated synthetic data by pitching it against real data sets. The application, which is an open-source Python library for evaluating model-agnostic tabular synthetic data, defines metrics for statistics, efficiency and privacy of data, according to Kalyan Veeramachaneni, MIT’s principal research scient
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DataCebo has just launched SDV Enterprise, a commercial offering of the open source product, Synthetic Data Vault (SDV). With SDV Enterprise, developers can build, deploy and manage generative AI models for enterprise-grade applications when real data is limited or unavailable. SDV Enterprises models create synthetic data that is statistically simi... Read More
