FactSquared
FastSquared uses machine learning & neural networks to turn unstructured video, audio, text, PDFs to rich, searchable structured data.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
N/A | Seed | ||
| Total Funding | 000k | ||
FactSquared, Inc. operates as an artificial intelligence-driven transcription and alternative data company, established to bring clarity to the public discourse. The company was founded in 2017 by Bill Frischling and Mark Walsh. Frischling, the company's CEO, was inspired following the 2016 U.S. election to create a tool that would allow individuals, journalists, and researchers to access and analyze primary source information directly, without media interpretation. This led to the creation of its flagship product, Factba.se.
FactSquared developed a platform that utilizes machine learning and neural networks to transform unstructured content such as audio, video, and text into structured, searchable data. The technology is capable of transcribing spoken words and analyzing them for sentiment, emotion, and personality traits. The company's primary public-facing service, Factba.se, began by compiling a comprehensive, searchable database of every public utterance, tweet, and document from political figures, most notably President Donald Trump, and later expanding to include President Joe Biden. This resource became heavily used by major news organizations like CNN, The New York Times, and The Washington Post.
The business serves clients in the political, corporate, and media sectors. Its model involves providing free access to the searchable archives of Factba.se, while offering a paid tier for users who require advanced data analysis tools. For corporate clients and campaigns, the platform offers the ability to monitor the language and strategy of public figures and opponents in real-time. In January 2021, FactSquared was acquired by FiscalNote, a global technology company specializing in political and regulatory intelligence. Following the acquisition, Frischling joined FiscalNote's research and development team, and Walsh became an advisor, integrating FactSquared's technology to enhance FiscalNote's product offerings.
Keywords: data transcription, alternative data, political intelligence, speech analysis, machine learning, neural networks, media analysis, public records, sentiment analysis, Bill Frischling, Mark Walsh, Factba.se, FiscalNote, primary source database, unstructured data, text analysis, video analysis, audio analysis, government transparency, corporate intelligence