A search startup raised $26 million recently to offer an AI-powered rival to Google.
Perplexity AI, which bills itself as a “conversational search engine,” closed a Series A funding round led by New Enterprise Associates, with participation from Databricks Ventures and angel investors including former GitHub CEO Nat Friedman and Meta chief scientist Yann LeCun. The fresh tranche comes as Perplexity reports that it had 10 million monthly visits and 2 million unique visitors in February alone.
That’s a far cry from the estimated 89 billion visits Google had in May 2022. But Perplexity is betting heavily on its AI tech to set it apart from the incumbents.
Perplexity was founded in 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho and Andy Konwinski, engineers with backgrounds in back-end systems, AI and machine learning. Yarats was a staff machine learning engineer at Quora for several years before joining Meta as an AI research scientist, while Srinivas interned at DeepMind and Google and later joined OpenAI as an AI researcher. Ho worked as an engineer at Quora, then a quantitative trader on Wall Street, and Konwinski was among the founding team at Databricks.
Unlike a typical search engine, Perplexity offers a chatbot-like interface that allows users to ask questions in natural language, to which its AI responds by citing sites and sources from around the web. Users can ask follow-up questions to dive deeper into a particular topic and Perplexity will respond based on the context of its earlier responses.
It’s not a new concept. The AI-powered ChatGPT and Bing Chat, similarly, let users get answers to questions on any number of topics by asking conversationally. But Perplexity’s founders claim that their tech performs better, overall, when it comes to accuracy. (Today’s chatbots are notorious for “hallucinating,” or just plain making up, answers to questions.)
“We’ve built a first-of-its-kind conversational answer engine that’s grounded in providing accurate and relevant information through citations,” Srinivas said in a press release. “When people search online for answers to their questions, they’re presented with endless lists of links that can be manipulated by advertisers and search engine optimization. Individuals are then tasked with sifting through those websites and distilling the information, much of which may not be accurate in the first place. With Perplexity AI, we aspire to fix all of that.”
Image Credits: Perplexity AI
That’s an ambitious mission. But Perplexity is forging ahead, releasing an iOS app in recent days that introduces features like user sign-in for personalization, persistent search history and social sharing.
Srinivas says that the funds from the Series A will be put toward Perplexity’s growth and expansion plans, including “optimizing the application’s knowledge database.”
“This is a first step in our mission of building the world’s most transparent information service and maximizing the knowledge and productivity of the average consumer,” he added.
Perplexity is only the latest startup in the generative AI space to attract outsize investor attention. Just last month, Character.ai, a personalized chatbot platform, closed a $150 million Series A at a $1 billion valuation. According to a PitchBook report released in March, VCs have steadily increased their positions in generative AI, from $408 million in 2018 to $4.8 billion in 2021 to $4.5 billion in 2022.
AI-powered search engine Perplexity AI lands $26M, launches iOS app by Kyle Wiggers originally published on TechCrunch
