About

Twincler was an engineering company based in Berlin, Germany with a US subsidiary in San Francisco, California. We built the next generation of fully automated infrastructure technology to keep users safe and platforms healthy at a global scale.

By introducing first solutions in 2017, we were one of the first companies on the global market addressing the problems of synthetic engagement, scaled abuse, disinformation, and state-backed influence operations during elections, international crises, war, and terrorist attacks.

Our unconventional approach was unique on the global market. Twincler had arguably the fastest technology to identify abusive behavior and harmful content in real-time across modalities (text, video, images), surfaces (post, livestream, video, audio, event, profile), languages and platforms (Twitter/X, YouTube, Facebook, Instagram, Mastodon, Soundcloud and more). Our technology was also able to automatically detect duplicates on and off-platform (Understanding Twincler).

We worked with the world’s most sophisticated tech companies and with governments in the United States and in Europe.

User protection at scale

Twincler started in summer 2016 with botswatch, a side project of former co-workers to make data about inauthentic behavior on Twitter available in order to safeguard the German 2017 federal elections. Our data resonated immediately nationwide. After receiving an overwhelming number of requests for our services, we founded the company in April 2017 and further developed our technology since then.

So far, our systems have identified disinformation, influence operations, synthetic engagement, artificial cross-platform promotion of content, previously unknown conspiracy theories, deep fakes, state-backed activity, account spoofings and hack and leak tactics fully automated and in real-time.

Contributing to the community

We contribute to the information security community in academia, engineering and the industry by sharing reports and data insights of evolving threats and tactics. We are a member of the Association of Computing and Machinery (ACM) SIG AI and SIG KDD and the IEEE working group P7011 to develop a standard for the Process of Identifying and Rating the Trustworthiness of News Sources. The Federal Agency for Civic Education in Germany recommended our very first mvp back in 2017 as a fact checking tool. We were invited by Chancellor Angela Merkel to the Federal Expert Summit on Artificial Intelligence in 2018, are SXSW Interactive Innovation Award finalist 2018 in the category “Privacy & Security” and 2018 SXSW “New Technologies AI and more” winner and 2021 Deep Tech Award winner in the category “Security”. 

What we believed

We did things differently.

We chose unconventional approaches to data engineering and threat intelligence in the information environment while making sure our systems run according to industry-leading standards.

We understood each and every data point as a door to an entire new world. 

We believed that the value of data unfolds in context.

We chose validity and accuracy over quick answers even if the results are uncomfortable.

We would have rather failed with a new approach than never tried.

We believed that innovation and the quality of our technology is a result of a diverse and cross-functional team.

We made data insights actionable for our clients and enable them to improve.

We believed that data helps to make life better for billions of people across the globe.

We believed technology serves for the good.