Latest Interviews
Showing 1–3 of 3 interview transcripts.
Clear all filters- Y Combinator43 min
Aravind Srinivas: Perplexity's Race to Build Agentic Search
Aravind Srinivas, Sami, Akshat, Ravin, Angela
Perplexity AI founder Aravind Srinivasan addresses the company's rapid infrastructure strain and recurring competitive skepticism while detailing the strategic development of "Comet," an AI-powered browser designed to function as a cognitive operating system for complex agentic tasks. Differentiating itself from incumbent tech giants bound by ad-revenue models, the 200-person team leverages AI-driven engineering workflows to iterate quickly, aiming to capture direct transaction revenue through subscriptions rather than competing on traditional search advertising. Srinivasan projects a future where Perplexity maintains market relevance by prioritizing speed and human oversight in distributed systems against inevitable large-scale replication attempts from major competitors.
- Y Combinator35 min
How To Build The Future: Aravind Srinivas
Perplexity achieved a valuation exceeding $9 billion by pivoting from enterprise prototypes to a consumer search engine that leverages modern LLMs to summarize top search results while adhering to a "user is never wrong" philosophy. Founder Aravind Srinivas credits the platform's exponential growth to viral user adoption and a strategic focus on engagement metrics rather than complex agent-based browsing. Looking ahead, the company aims to evolve into a full-stack decision engine capable of executing end-to-end tasks like booking travel, thereby overcoming the current industry split between information retrieval and commercial monetization.
- RAISE Summit23 min
'Future of Search in the Age of AI' Perplexity CEO, Aravind Srinivas | RAISE Summit 2024 | Paris
Perplexity AI CEO Aravind Srinivas and his team have launched an answer engine that replaces traditional search link lists with sourced, direct responses to bypass the advertising incentives misaligning Google with user utility. Leveraging a model-agnostic orchestration architecture and a founding team spanning research and competitive programming, the platform prioritizes factual accuracy and source verification over open-ended creativity to minimize AI hallucinations. While currently operating on lower margins than incumbent search giants, the company aims to establish a new consumer-aligned monetization framework that transforms the web from a collection of links into a verified knowledge infrastructure.