There’s plenty of product comparison tools out there, like PayPal-owned
Vetted lands $15M for AI that helps shoppers find top products and deals
Vetted, the startup formerly known as Lustre, today announced that it secured $15 million to fund development of its AI-powered platform for product reviews. The cash infusion comes as part of a Series A led by Insight Partners, with participation from Index Ventures, Bling Capital, Golden Ventures and angels including former Meta VP of commerce Shiva Rajaraman, and founder and CEO Stuart Kearney tells TechCrunch that it’ll be invested in scaling Vetted’s machine learning technologies.
Kearney describes Vetted’s platform, which launched broadly today, as a “product search engine” for “discovering the brands and products most recommended for your needs. He started the company with Tim Etler and Tom Raleigh after a stint working on “smallsats” (spacecraft about the size of a kitchen fridge) at the NASA Ames Research Center and as a systems engineer at the Australian Department of Defense.
“We founded Vetted because we felt that shopping online has become an overwhelming and frankly anti-consumer experience,” Kearney told TechCrunch via email. “People shouldn’t have to spend hours sifting through indistinguishable products littered across thousands of ad-infested sites loaded with fake reviews and unreliable information.”
Vetted surfaces reviews for a given product from The New York Times’ Wirecutter, Reddit, YouTube and other “reputable” sites, according to Kearney (although some might argue that Reddit doesn’t always meet that criterion). Available on the web or as a Chrome extension, the platform compares prices across merchants, tracks changes and delivers alerts when there’s a sale.
Image Credits: Vetted
There’s plenty of product comparison tools out there, like PayPal-owned Honey and Paribus (now Capital One Shopping). But what sets Vetted apart is its use of AI to identify the top products in different categories, Kearney says. Vetted ranks products based on more than 10,000 factors, including reviewer credibility, brand reliability, enthusiast consensus and how past generations performed. As prices change and new products and reviews appear, the platform updates the rankings while a team of 30 “product experts” work to make sure the results are accurate.
“We’ve built our own named entity recognition technology to identify mentions of brands and products. We then analyze the users’ sentiment towards them and use vectorization techniques to group together similar products to do further analysis,” Kearney said. “This enables us to transform the mess of thousands of threads into a well-organized summary of, for example, Reddit’s opinion on a given product or brand.”
Kearney wasn’t forthcoming about how Vetted’s ranking algorithm weighs the various factors and quantifies the more subjective aspects of product reviews, like “credibility.” He also didn’t disclose what work, if any, has been done behind the scenes to ensure Vetted analyzes reviews from different groups of people equally. AI models trained to understand a particular vernacular (e.g. standard English) tend to do poorly when exposed to unfamiliar text.
Kearney says that part of new the funding will go toward deploying more advanced search technologies, as well as AI systems to organize and understand product knowledge in forums. He notes that …read more