Aravind Srinivas
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
- 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
Education
- PhD, Computer Science (Reinforcement Learning & Generative Models), UC Berkeley
- BTech, Electrical Engineering, IIT Madras
Speaking topics
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)