One thing became noticeable during the presidential election of the U.S in 2024. Disinformation circulated online rapidly, affecting Americans' opinions on various problems such as climate change, migration, and public health.
Its ability to make deepfakes in seconds and generate disinformation with generative AI will only strengthen the issues. The news is about the fact-checking of the company with AI.
Factiverse Offers Fact-Checking for Business
A company that participated in TechCrunch Disrupt Battlefield 200 in October, Factiverse, is getting ready for the attack. The new company has produced a business-to-business solution that provides real-time fact-checking of audio, video, and Text. It gained the best proposal in privacy, security, and Social Networking. In addition to reducing business hours of research, the company's proposal seeks to reduce legal liability and negative publicity.
Since its 2020 beginning, Fractiverse, a Norwegian company, has gathered over $1.45 million in pre-seed investment but is still in its early stages. However, according to Maria Amelie, co-founder and CEO of Fractiverse, the firm has started dealing with financial and media partners, especially one of Norway's highest banks.
Amelie Arguments about Factiverse Offer AI
According to Amelie, Factiverse even gave live fact-checking of the US presidential arguments, which several media partners employed.
Amelie told TechCrunch, "We are not a big language model or LLM. We've created a unique kind of information retrieval scheme."
Amalie has personal experience of the war against facts as a published author and professional technology journalist. She founded the firm with a B2B concentrate in partnership with Vinay Setty, co-founder and CTO of Factiverse and a faculty member of machine learning at the University of Stavanger.
According to Amelie, Factiverse's model is built on high-quality, carefully selected, trustworthy data from verified sources and fact-checkers globally. She believes in not using junk food data so that generative AI is trained.
According to Amelie, we should build our model to think naturally, just like some people with much information and experience researching data. Based on natural language processing, the models can identify arguments and perform real-time online searches, including research papers. The models can use search engines like Google, Bing, and .com.
Amelie remarked, we’re not showing you anything that came first on that search engine, which is the most entertaining part. We're suggesting which sources are more accurate and historical on your subject. Also, we investigate the domain in connecting to the topic and sometimes even the source of the statement in an article.
Amelie told TechCrunch, We are here in the U.S to be the fastest company, but we need enough investment to be the best." She said the company seeks to raise a seed round in 2025. We are finding investors and clients who prefer investing in trust and reputation.