Aravind Srinivas Net Worth, CEO of Perplexity AI

Aravind Srinivas Net Worth: Aravind Srinivas is an Indian research scientist and entrepreneur. He is the co-founder and current Chief Executive Officer (CEO) of Perplexity AI,  a conversational search engine powered by AI. 

Founded in 2022, Perplexity AI now has over 10 million users. A significant part of the company’s success can be attributed to its co-founders and the CEO. With this, Let’s take a look at Aravind Srinivas’s net worth. 

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Aravind Srinivas’s Net Worth

As of 2024, the exact details of Aravind Srinivas’s net worth are unavailable in the public domain. However, based on his successful ventures and leadership role at Perplexity AI, it can be estimated that Aravind Srinivas has accumulated a substantial net worth over the years. 

He is the co-founder and CEO of a successful startup, which has received funding from big names such as Jeff Bezos and Susan Wojcicki. His innovative approach to AI technology has positioned him as a prominent figure in the industry, likely contributing to his financial success. 

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Education

The CEO of Perplexity AI holds a dual degree, a B.Tech and an M.Tech, in electrical engineering from IIT (Indian Institute of Technology) Madras. During his educational journey at IIT Madras, he researched “Deep Reinforcement Learning: Dynamic Action Repeats for Hierarchical RL (AAAI 17′, ICLR 17′), Transfer Learning (ICLR 17′).”

In 2021, he moved to the United States to pursue a Doctor of Philosophy, PhD in Computer Science from the University of California, Berkeley. His thesis as a PhD student was on “Contrastive Learning for Computer Vision (CPCv2), Reinforcement Learning (CURL). Transformers for Image Generation (Flow++), Image Recognition (BoTNet), Video Generation (VideoGPT), Reinforcement Learning (Decision Transformer).”

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Career

Aravind Srinivas started as a Research Intern at OpenAI, the company behind ChatGPT. Located in the tech hub of the San Francisco Bay Area, his initial role involved research on Policy Gradient Algorithms. 

Following this, he interned at DeepMind, the AI research subsidiary of Google, in London, United Kingdom. During this time, he focused on Large-Scale Contrastive Learning, particularly contributing to the development of CPCv2. 

Aravind then transitioned to a Research Intern role at Google in Mountain View, California. During this year-long stint, he worked on Transformers for Vision, specifically exploring Bottleneck Transformers and HaloNet. His contributions also extended to State-of-the-Art (SoTA) Vision Models, including projects like Copy-Paste Augmentation and ResNet-RS.

Building on this experience, Aravind joined OpenAI as a Research Scientist. Over a year, he engaged in research on language and diffusion generative models. 

In 2022, he co-founded Perplexity AI with Denis Yarats, Johnny Ho, and Andy Konwinski. He assumed the role of the CEO in August 2022. Leading this innovative venture, he focuses on providing the fastest way to get answers to any question with his innovative startup. 

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Latest updates

October 17, 2024

Perplexity introduced two groundbreaking features: Internal Knowledge Search and Perplexity Spaces, designed to enhance productivity and collaboration. These innovations empower users to access public web content and internal knowledge bases seamlessly and create AI-powered collaboration hubs tailored to their needs. Whether for industry professionals, research teams, or everyday users, these tools offer unprecedented flexibility, control, and efficiency in accessing and organizing information.

Key updates

• Internal Knowledge Search:
  • Enables simultaneous searches across public web content and internal knowledge bases.
  • Available for Perplexity Pro and Enterprise Pro users.
  • Early adopters like NVIDIA, Dell, and Databricks leverage it for due diligence, RFP processes, and internal queries.
  • Increases productivity by consolidating research into one platform.
• Perplexity Spaces:
  • AI-powered collaboration hubs for teams to research, organize, and collaborate.
  • Customizable AI models with full access control and privacy for team members.
  • Pro users can opt out of AI quality training to ensure data security.
  • Suitable for various use cases such as project teams, sales proposals, or student projects.
• Data Security:
  • All internal files and searches are kept private and excluded from AI training for Enterprise Pro customers.
  • Ongoing commitment to data safety and privacy for sensitive research tasks.
• Upcoming Integrations:
  • Third-party data integrations with Crunchbase and FactSet for enhanced search capabilities.
  • More integrations are planned to expand research possibilities further.

These new tools make Perplexity the go-to knowledge hub for organizations aiming for faster, more efficient research.

Perplexity secured $73.6 million in a Series B financing sponsored by big names in the tech industry. This investment is part of a total of $100 million raised so far. 

So far, the investors include Nvidia, New Enterprise Associates, Databricks, Bessemer Venture Partners, Jeff Bezos, Susan Wojcicki, Jeff Dean, Yann LeCun, and Andrej Karpathy, among others.

CEO Aravind Srinivas plans to work with Indian startups that are creating large language models (LLMs) to expand business to the culturally and linguistically diverse nation. 

Perplexity AI has around 10 million monthly users and it is currently valued at $520 million.

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