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Aravind Srinivas

Operator

Aravind Srinivas is the CEO and co-founder of Perplexity AI, a conversational AI answer engine valued at approximately $20 billion that is fundamentally challenging the traditional search paradigm. By combining large language models with real-time web retrieval, Perplexity delivers direct, cited answers rather than lists of links — a model that has attracted tens of millions of users and significant attention from advertisers and publishers alike as it redefines the top of the information funnel. Before founding Perplexity in 2022, Srinivas built a deep research pedigree in AI and machine learning. He completed his PhD at UC Berkeley, where he focused on reinforcement learning and generative models. He also held research internships and roles at OpenAI, DeepMind, and Google Brain, giving him rare exposure to the frontier of AI development across multiple leading labs. This background positioned him to identify the opportunity to apply large language models to search at a pivotal moment in the technology's maturity. In the AdTech and media ecosystem, Srinivas has become a consequential figure because Perplexity's rise directly disrupts traditional search advertising — the backbone of digital advertising revenue. His public commentary on AI-native monetization, publisher partnerships, and the future of information retrieval has made him a sought-after voice on how AI will reshape content discovery, audience targeting, and the economics of online media. Perplexity's experiments with AI-native advertising formats place Srinivas at the center of one of the most significant structural shifts in digital advertising in decades.

Last updated Sep 26, 2026 by ATDb automated enrichment

Role
CEO & Co-founder
Company
Based
San Francisco, California, United States
Connections
1
Years in industry
6 years

Bio

Aravind Srinivas is the CEO and co-founder of Perplexity AI, a conversational AI answer engine valued at approximately $20 billion that is fundamentally challenging the traditional search paradigm. By combining large language models with real-time web retrieval, Perplexity delivers direct, cited answers rather than lists of links — a model that has attracted tens of millions of users and significant attention from advertisers and publishers alike as it redefines the top of the information funnel. Before founding Perplexity in 2022, Srinivas built a deep research pedigree in AI and machine learning. He completed his PhD at UC Berkeley, where he focused on reinforcement learning and generative models. He also held research internships and roles at OpenAI, DeepMind, and Google Brain, giving him rare exposure to the frontier of AI development across multiple leading labs. This background positioned him to identify the opportunity to apply large language models to search at a pivotal moment in the technology's maturity. In the AdTech and media ecosystem, Srinivas has become a consequential figure because Perplexity's rise directly disrupts traditional search advertising — the backbone of digital advertising revenue. His public commentary on AI-native monetization, publisher partnerships, and the future of information retrieval has made him a sought-after voice on how AI will reshape content discovery, audience targeting, and the economics of online media. Perplexity's experiments with AI-native advertising formats place Srinivas at the center of one of the most significant structural shifts in digital advertising in decades.

Career

  • Research Intern / Researcher

    OpenAI · 2020-2021

  • Research Intern

    DeepMind · 2019-2020

  • Research Intern

    Google Brain · 2018-2019

Expertise & education

Expertise

AI-Powered SearchLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI-Native Advertising FormatsConversational AIInformation RetrievalGenerative AIReinforcement Learning

Education

  • PhD, Computer Science (Reinforcement Learning & Generative Models), UC Berkeley
  • BTech, Electrical Engineering, IIT Madras

Speaking topics

The Future of Search and AI Answer EnginesAI-Native Monetization and AdvertisingLarge Language Models and Real-Time Information RetrievalDisrupting the Search Advertising DuopolyPublisher Economics in the Age of Generative AI

Recognition

Notable achievements

  • Co-founded Perplexity AI, scaling it to a ~$20 billion valuation within approximately two years of launch
  • Raised hundreds of millions in venture funding from investors including SoftBank, Nvidia, Jeff Bezos, and leading Silicon Valley VCs
  • Built an AI answer engine attracting tens of millions of monthly active users, directly challenging Google Search
  • Pioneered AI-native advertising formats within a conversational search product, opening a new frontier in digital advertising

Publications

  • Academic research on reinforcement learning and generative models (UC Berkeley, 2018–2022)
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