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In the wake of the 2024 US presidential election, one fact has become clear: misinformation has spread online at an astonishing rate. Shaping Americans’ views About each candidate as well as a variety of topics, including public health, climate change and immigration. Generative AI – with its ability to produce fake images in seconds and its tendency to hallucinate facts – will only exacerbate the problem.
Factiversea startup that participated in TechCrunch Disrupt Battlefield 200 in October, is preparing for the attack. The company, which won Best Presentation in the Security, Privacy and Social Networks category, has developed a business-to-business communication tool that provides live verification of text, video and audio. Company Offer: To help companies save hours of research and mitigate any reputational or legal liability risks.
The Norwegian startup is still in its early stages. Factiverse has raised about $1.45 million in pre-seed funds since launching in 2020. However, it has already begun working with both media and financial partners, including one of the largest banks in Norway, according to Factiverse CEO and co-founder Maria Ameli .
Factiverse even provided a live fact check US presidential debates This has been used by several media partners, Amelie said.
“We are not an LLM (Large Language Model). We built a different model based on information retrieval,” Amelie told TechCrunch.
As a former technology journalist and published author, Amelie has first-hand experience in the war against facts. She worked with Factiverse co-founder and CTO Vinay Setty, an associate professor of machine learning at the University of Stavanger, to launch the startup with a B2B focus.
The Factiverse model is trained on high-quality, well-curated, credible data from trusted sources and fact-checkers around the world, according to Amelie, not the “fast food data” that generative AI is trained on.
“We are training our AI model to think intuitively like someone with a lot of experience searching for information,” Amelie said.
The model, which is based on machine learning and natural language processing, is able to identify claims and search the web in real time — everything from search engines like Google and Bing to AI search engines like You.com to academic papers.
“The most fun part is that we don’t show you everything that comes first on these search engines,” Amelie said. “We actually suggest to you what are the most credible, or most historical, sources in relation to your topic… We actually look at the field in relation to the topic, and sometimes even who is being quoted in the article.”
As of today, Factiverse says it outperforms GPT-4, Mistral 7-b, and GPT-3 in its ability to identify fact-check worthy claims in 114 languages. The company model also outperforms LLMs in determining the validity of a claim. Amelie said Factiverse has a success rate of about 80% and the goal is to improve as the company onboards new clients around the world.
“We have enough funding to be the best, but we are here in the US to be the fastest,” Amelie told TechCrunch. She also noted that the company wants to raise a seed round in 2025. “We are looking for clients and investors who want to invest in trust and credibility,” she said.
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