A team led by former Twitter engineers is reimagining the use of AI to aid individuals in processing news and information. Particle.news, a new startup that recently entered private beta, offers a personalized, “multi-perspective” news reading experience that utilizes AI to summarize news while also aiming to fairly compensate authors and publishers.
Founded by former Senior Director of Product Management at Twitter, Sara Beykpour, and former senior engineer at Twitter and Tesla, Marcel Molina, Particle’s goal is to simplify staying up-to-date with news through AI technology.
With a funding of $4.4 million from Kindred Ventures, Adverb Ventures, and various angel investors including Ev Williams and Scott Belsky, Particle is creating a buzz in the news ecosystem. The startup’s unique approach to summarizing news sources from a variety of perspectives has gained the attention of industry insiders.
Particle’s technology offers a bulleted summary of news stories sourced from various media outlets. While the AI summary does not directly link to the sources, key terms are linked for reference. The company plans to unveil a mobile app and is currently hiring a senior iOS engineer to enhance the user experience.
Particle’s business model, which focuses on compensating authors and publishers fairly, is still under discussion with publishers. The startup believes in a fair partnership that benefits both parties involved.
As the news industry continues to evolve, Particle’s innovative approach to news aggregation and summarization with AI technology is seen as a step towards the future of news consumption. Stay tuned for more updates as Particle progresses on its journey to redefine the news landscape.
