computer science

Perplexity AI

Perplexity AI is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Perplexity AI rather than just read about it. In short: Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses. Perplexity products use large language models and incorporate real-time web search capabilities, providing responses based on current Internet content, citing sources used.

Key takeaways

Perplexity AI belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Perplexity AI to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Perplexity AI from memory before moving on to harder problems.

Reference excerpt

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses. Perplexity products use large language models and incorporate real-time web search capabilities, providing responses based on current Internet content, citing sources used. Its real-time search engine (API service) is called Sonar and is based on Meta's Llama model. A free public version is available, while a paid Pro subscription offers access to more advanced language models and additional features. Perplexity AI, Inc., was founded in August 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski. As of September 2025, the company was valued at US$20 billion. Perplexity AI have faced legal scrutiny over allegations of copyright infringement, unauthorized use of content, and trademark issues from several major media organizations, including the BBC, Dow Jones, and The New York Times. According to separate analyses by Wired and, later, Cloudflare, Perplexity uses undisclosed web crawlers with spoofed user-agent strings to scrape the content of websites that prohibit or explicitly block web scraping.

History In August 2022, Perplexity AI, Inc., was founded by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski, engineers with backgrounds in back-end systems, artificial intelligence (AI), and machine learning. It launched its main search engine on December 7, 2022, and has since released a Google Chrome extension and apps for iOS and Android. In February 2023, Perplexity reported two million unique visitors. By April 2024, Perplexity has raised $165 million in funding, which values the company at over $1 billion. As of June 2025, Perplexity closed a $500 million funding round, elevating its valuation to $14 billion. Investors in Perplexity AI have included Jeff Bezos, Tobias Lütke, Nat Friedman, Nvidia, and Databricks. Additionally, Perplexity has received funding from 1789 Capital, a venture capital firm notable for its association with Donald Trump Jr. During Bloomberg’s Tech Summit 2025, Srinivas shared that the company processed 780 million queries in May 2025, as it recorded more than 20% month-over-month growth, with about 30 million queries processed daily. In July 2024, Perplexity announced the launch of a new publishers' program to share advertising revenue with partners. On January 18, 2025, the day before the impending U.S. ban on the social media app TikTok, Perplexity submitted a proposal for a merger with TikTok US. On August 12, 2025, Perplexity made a bid to purchase Chrome from Google for $34.5 billion. Perplexity stated that the sale could remedy antitrust litigation against Google, in which a judge was considering compelling the sale of Chrome. In December 2025, Cristiano Ronaldo took a undisclosed stake in Perplexity AI and entered a global brand partnership with the company. As of early 2026, Perplexity AI reached a valuation of $21.21 billion following its Series E-6 funding round. In January 2026, the company entered into a three-year, $750 million commitment with Microsoft Azure to secure GPU capacity. In February 2026, Perplexity transitioned to a subscription-first model by discontinuing its AI-integrated advertising strategy. Leadership stated this move was intended to preserve user trust in the "answer engine," prioritizing objective results over ad revenue.

Products and services

Search engine web portal Perplexity’s primary offering is an online information retrieval system (search engine) that uses large language models to generate responses to user queries by searching and summarizing web-based content. Perplexity offers a feature known as Perplexity Pages that generates structured summaries and report-like content from user queries by aggregating cited sources. Perplexity is available to web users without charge or registration, a freemium model.

Perplexity Pro Perplexity Pro is a subscription tier, a more capable paid "enterprise" service, including stronger security and data protection and additional tools, including the ability to search uploaded documents alongside web content and access to a programmatic application programming interface (API). It allows the user to select between backend models such as GPT-5.4, Claude 4.6, and Gemini 3.1 Pro. The company has also developed its own models, Sonar (based on Llama 3.3) and R1 1776 (based on DeepSeek R1).

Internal Knowledge Search Internal Knowledge Search enables Pro and Enterprise Pro users to browse web content and their internal documents simultaneously. Moreover, it allows users to upload and search through files in Excel, Word, PDF, and other common file formats. Enterprise Pro users can upload and index up to 500 files.

Search API Perplexity's Search API provides AI developers with programmatic access to the company's search infrastructure. The September 2025 release includes a software development kit, an open-source evaluation framework called search_evals, and documentation detailing the API's design and optimization.

Shopping hub Perplexity's Shopping Hub is an online shopping platform that provides AI-generated product recommendations and enables users to purchase products directly through Perplexity's interface. It was launched in November 2024 with backing by Amazon and Nvidia.

Finance In October 2024, Perplexity AI launched new finance-focused features, including software that provides real-time tracking of stock prices and company earnings data. The tool provides real-time stock quotes and price tracking, industry peer comparisons, and basic financial analysis tools. The platform sources its financial data from Financial Modelling Prep.

Assistant In January 2025, Perplexity launched the Perplexity Assistant, an AI-powered tool designed to enhance its search engine's functionality. It can perform tasks across multiple apps, such as hailing a ride or searching for a song, and can maintain context across actions. The assistant is also multi-modal, meaning it can use a phone's camera to provide answers about the user's surroundings or on-screen content. Perplexity has acknowledged that the assistant is still in development and may not always function as expected. For instance, certain features, such as summarizing unread emails or upcoming calendar events, require users to enable a workaround based on notifications.

… excerpt ends here. Continue reading the full article.

Illustrations

Worked examples

Example 1 — a first encounter with Perplexity AI

Start with the simplest possible case. Write down what Perplexity AI claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Perplexity AI before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Perplexity AI ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Perplexity AI

In research: Perplexity AI appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Perplexity AI in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Perplexity AI is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2022 software, Artificial intelligence companies, Artificial intelligence industry in the United States, so understanding it makes those chapters shorter.
In everyday life: Look for Perplexity AI outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Perplexity AI in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Perplexity AI means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Perplexity AI out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Perplexity AI in simple terms?

Why does Perplexity AI matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Perplexity AI?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Perplexity AI.