
Karl Montevirgen is a professional freelance writer who specializes in the fields of finance, cryptomarkets, content strategy, and the arts. Karl works with several organizations in the equities, futures, physical metals, and blockchain industries. He holds FINRA Series 3 and Series 34 licenses in addition to a dual MFA in critical studies/writing and music composition from the California Institute of the Arts.
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Perplexity AI is a conversational search engine that uses large language models (LLMs) to provide direct answers to search queries, complete with source citations. Its development company, Perplexity AI, Inc., was founded in August 2022 and is headquartered in San Francisco, California.
Through its merging of online information retrieval (aka âsearchâ), natural language processing, and machine learning, Perplexity AI is among the leading tech pioneers developing âanswer engineâ technologies. It aims to deliver direct, detailed answers to user queries.
Perplexity AI differentiates its product through the following capabilities:
Among its early users, Perplexity AIâs platform is viewed as a fusion between OpenAIâs ChatGPT AI chatbot and the Google search engine from Alphabet (GOOGL). Although each companyâs proprietary technologies remain distinct and differentiated in their strengths and capabilities, Perplexityâs platform was seen as an early bridge between key functionalities of OpenAI and Google (advanced chatbot and search combined).
Despite Perplexityâs first-mover advantage in this hybrid space, the platform faces increasing competition from Google with its core search and Gemini chatbot; Microsoft (MSFT) with its Bing search engine and AI-powered Copilot; Open AIâs ChatGPT and SearchGPT; and the lesser-known You.com (a similar AI-powered search engine).
Perplexity offers a range of services categorized under a so-called âfreemiumâ modelâa free basic level of service and subscription-based, professional-level paid services.
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Perplexity AI, Inc. was founded in 2022 in San Francisco by four engineers with backgrounds in artificial intelligence (AI) and machine learning:

The founding membersâ shared vision for advancing search technology stemmed from a common frustration: search enginesâ inability to provide direct answers in a way that understands the wider and nuanced context of queries.
By 2023, Perplexity achieved a milestone with 10 million monthly active users. The company raised $26 million in a Series A funding round, which helped launch Perplexityâs mobile application.
The following year marked several significant milestones for the company. It launched Perplexity Pages, which allows users to generate customizable Web pages using prompts. It announced plans to introduce advertising on its search platform in the fourth quarter of the year, diversifying Perplexityâs revenue streams and positioning it even more firmly as a Google competitor. The company also launched its Buy with Pro and Snap to Shop applications.
Perplexity completed a series of funding rounds that established the company as a Wall Street âunicornâ with a valuation of over $1 billion. Participating investors in both rounds included notable individuals and companies such as Jeff Bezos, NVIDIA (NVDA), Daniel Gross, and Stan Druckenmiller. In November 2024 the company underwent a final capital raising effort, after which its valuation reached an estimated $9 billion.
The rapid growth of AI technology required platforms such as Perplexity to continuously feed vast quantities of data into its LLMs, not only to train new models, but also to deliver the most up-to-date information for user queries. But data collection and distribution practices came under fire in 2024, with publishers and content creators accusing the top AI platforms of plagiarism and misuse of copyrighted material without proper attribution.
In June 2024 the financial publication Forbes sent a cease and desist letter to Perplexity, accusing it of scraping and redistributing text and images without proper attribution. Soon after, Wired magazine published the results of an investigation alleging that Perplexity scraped content from websites that expressly forbid such data collection. By the end of June, Amazon Web Services (AMZN)âPerplexityâs cloud service partnerâlaunched an investigation into whether the platformâs data collection practices violate its terms of use.
In October 2024 The New York Times issued a cease and desist letter to Perplexity, alleging the company infringed on its copyright by scraping content from its website. The same month, News Corp (NWS) publications including the Wall Street Journal and New York Post filed a lawsuit against Perplexity alleging copyright infringement. (Earlier that year, News Corp struck a five-year deal with Perplexity competitor OpenAI that allowed OpenAI to use its current and archived content in its LLMs.) On Sept. 10, 2025, EncyclopÊdia Britannica and Merriam-Webster filed a complaint against Perplexity alleging copyright and trademark infringement.
In November 2024, in response to claims of misuse of copyrighted material, Perplexity CEO Aravind Srinivas argued that no publisher should have the exclusive right to own reported facts, that such facts should be freely accessible to everyone, and that Perplexity simply surfaces and summarizes data from the Web, with full citations and a notation that it doesnât claim ownership of any content.
Perplexityâs legal challengesâand the companyâs responseâare emblematic of a much broader and ongoing debate surrounding the boundaries of intellectual property as it pertains to AI-driven content aggregation and creation.
In a mere two years, Perplexity AI has established itself as a leading pioneer in the emerging âanswer-engineâ space. Integrating generative AI chatbot functionalities with real-time information retrieval technologies, Perplexity AI has effectively positioned itself at the intersection of these distinct yet overlapping industries.
This article was most recently revised and updated by Karl Montevirgen