Perplexity AI
About Us
Perplexity AI, a conversational search engine, was founded in 2022 by Aravind Srinivas. Aravind was frustrated with how AI tools were unable to give direct answers to queries. Thus, fueled by the need to address this issue and inspired by Larry Page and Sergey Brin, he decided to create an AI-powered search engine capable of doing exactly that.
Aravind’s journey began at IIT Madras. He became interested in machine learning, which was followed by graduate studies at UC Berkeley and internships at DeepMind and OpenAI. Witnessing the potential of GPT-1 during his time at OpenAI, he envisioned AI as the ultimate version of Google. This vision led him to create Perplexity AI, which combines advanced language models to provide users with concise answers and sources, setting it apart from traditional search engines focused on ad revenue.
Perplexity AI is an innovative search engine. It combines artificial intelligence and chatbot technology to provide accurate, up-to-date answers to user queries. Key features include:
1. Comprehensive answers with citations from trusted sources
2. Real-time information retrieval
3. Follow-up question suggestions for deeper exploration
4. Available as a free service with a premium subscription option
Using these, one can quite literally have every single question of theirs answered. Be it about the scientific breakthroughs of the world or age-old philosophical musings. As of February 2025, Perplexity AI has been involved in some notable events:
1. Launch of Perplexity Assistant for Android, an AI-powered tool integrated into the Perplexity app.
2. Introduction of finance-related features, including real-time stock quotes and financial analysis tools.
3. Release of Perplexity Spaces, an AI-powered collaboration hub for customized knowledge spaces
Perplexity AI continues to grow and has reached a valuation of $3 billion, with backing from investors like Jeff Bezos and Nvidia. As it evolves, it’s becoming a powerful tool for information discovery and research, challenging traditional search-engine models.
Story of Perplexity told by our editorial team
Perplexity AI
Perplexity AI, a conversational search engine, was founded in 2022 by Aravind Srinivas. Aravind was frustrated with how AI tools were unable to give direct answers to queries. Thus, fueled by the need to address this issue and inspired by Larry Page and Sergey Brin, he decided to create an AI-powered search engine capable of doing exactly that.
Aravind’s journey began at IIT Madras. He became interested in machine learning, which was followed by graduate studies at UC Berkeley and internships at DeepMind and OpenAI. Witnessing the potential of GPT-1 during his time at OpenAI, he envisioned AI as the ultimate version of Google. This vision led him to create Perplexity AI, which combines advanced language models to provide users with concise answers and sources, setting it apart from traditional search engines focused on ad revenue.
Perplexity AI is an innovative search engine. It combines artificial intelligence and chatbot technology to provide accurate, up-to-date answers to user queries. Key features include:
1. Comprehensive answers with citations from trusted sources
2. Real-time information retrieval
3. Follow-up question suggestions for deeper exploration
4. Available as a free service with a premium subscription option
Using these, one can quite literally have every single question of theirs answered. Be it about the scientific breakthroughs of the world or age-old philosophical musings. As of February 2025, Perplexity AI has been involved in some notable events:
1. Launch of Perplexity Assistant for Android, an AI-powered tool integrated into the Perplexity app.
2. Introduction of finance-related features, including real-time stock quotes and financial analysis tools.
3. Release of Perplexity Spaces, an AI-powered collaboration hub for customized knowledge spaces
Perplexity AI continues to grow and has reached a valuation of $3 billion, with backing from investors like Jeff Bezos and Nvidia. As it evolves, it’s becoming a powerful tool for information discovery and research, challenging traditional search-engine models.
Story of Perplexity told by our editorial team
