🚀 Launching Synthetic Text to Unlock High-Value Proprietary Text Data

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Nikolina Bobar

Blogposts written by Nikolina

Achieving gender equality for women in data science and AI

Women in Data Science: Cracking the Code & Achieving Gender Equality

A group of leading voices got together to share some key actionable insights for women, men, and businesses, to help amplify women’s voices and get one step closer to achieving gender equality for women in data science and AI space.

December 22, 2022

MOSTLY AI 2022 recap

AI-driven tech continues to break into the mainstream, with enormous interest growing in how we can use AI to make the world a better place. One area specifically is data privacy.

December 23, 2021

MOSTLY AI’s 2021 Highlights

2021 has passed in the blink of an eye, yet MOSTLY AI can be proud as this was a revolutionary year of many extraordinary achievements. While we are already excited for what 2022 holds for us, we are taking a step back to look at the highlights and major milestones we have accomplished in 2021. […]

The City of Vienna

Eye to eye with MOSTLY AI: Andreas Ponikiewicz, VP of Global Sales

MOSTLY AI has gathered a team of exquisite experts and data science enthusiasts. We would like you to meet our team 'eye to eye' and get to know all our devoted Mostlies who ensure that we deliver the best product and stand out in the market.

Synthetic data AI/ML

On-demand Synthetic Data Meetup Webinar - Synthetic data for residential energy

Watch the 6th Synthetic Data Meetup on-demand where we have hosted an expert in residential energy systems who had a fascinating story to tell!

Synthetic data platform

One team, many new features: the next version of the world's leading synthetic data generator is here

Our developers worked hard to deliver much anticipated new features to simplify our customers' lives with faster, safer, and easier processes.

SOC2 certification

It is official: MOSTLY AI is SOC 2 Type 2 certified!

Working with SOC 2 certified vendors, such as MOSTLY AI, assures the customers that the vendor follows consistent security practices and are able to keep customers’ valuable data always safe and protected through the implementation of standardized controls as defined in the AICPA Trust Service Principles framework.

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