Perplexity’s cover photo
Perplexity

Perplexity

Software Development

San Francisco, California 1,331,999 followers

About us

The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.

Website
https://www.perplexity.ai
Industry
Software Development
Company size
201-500 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2022

Products

Locations

  • Primary

    115 Sansome St

    Suite 900

    San Francisco, California 94104, US

    Get directions

Employees at Perplexity

Updates

  • View organization page for Perplexity

    1,331,999 followers

    Researchers from Harvard and Perplexity conducted the first large‑scale field study of how people use AI agents. We analyzed hundreds of millions of anonymized user interactions in Comet to answer three questions: who’s using agents, how much, and what for. https://lnkd.in/gbjFPYJ6 More than half of all agent activity focuses on cognitive work. Agent use is dominated by Productivity & Workflow (36% of queries) and Learning & Research (21%). Users rely on the assistant to think through something, synthesize findings, and take action on those learnings. Most agent queries come from personal use (55%), followed by professional (30%) and educational (16%) contexts. New users often start with low-stakes questions like travel or trivia. Over time, they shift to more complex topics like productivity, learning, and career advice. Digital technology leads in volume (30% of queries), but fields like Marketing, Sales, and Management show more "stickiness." Once these users adopt an agent, their usage intensity outpaces their adoption numbers as they integrate the assistant into their daily workflow. Our findings show that professionals use the Comet Assistant to solve specific friction points in their industry. Finance professionals prioritize efficiency, with 47% of their queries related to productivity. Meanwhile, students focus on utility, dedicating 43% of their queries to learning and research. Read the full report: https://lnkd.in/gpV5Rmpt

  • View organization page for Perplexity

    1,331,999 followers

    Today we're releasing BrowseSafe and BrowseSafe-Bench: an open-source detection model and benchmark to catch and prevent malicious prompt-injection instructions in real-time. Prompt injection involves embedding malicious instructions in text read by AI agents, altering its behavior unnoticed. Attackers hide this in comments, templates, footers, or invisible HTML elements parsed by agents but unseen by users. BrowseSafe is a specialized detection model to defend against evolving prompt injection attacks. It is designed specifically to spot and block malicious instructions hidden in web pages before they can impact AI browser agents. https://lnkd.in/gBUEC9ms BrowseSafe-Bench is our security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTML environments. https://lnkd.in/gmuXGKR2 Our findings show that our fine-tuned BrowseSafe model outperforms both off‑the‑shelf safety classifiers and frontier LLMs used as detectors. These gains are possible through fine-tuning on BrowseSafe-Bench data, allowing us to bypass the reasoning latency of larger models. BrowseSafe and BrowseSafe-Bench are fully open-source. Any developer building autonomous agents can immediately harden their systems against prompt injection. Read more: https://lnkd.in/gb3RkHg6

  • View organization page for Perplexity

    1,331,999 followers

    Today we're rolling out virtual try-on to all Perplexity Pro and Max subscribers. Upload a photo to create your digital avatar and virtually try on clothes while shopping on Perplexity. No more guessing how clothes will look on you. Select a product, click "Try it on," and create your avatar.

  • View organization page for Perplexity

    1,331,999 followers

    Perplexity now remembers your threads and interests to provide smarter, faster, and more personalized answers. Memory recall works across all models and search modes, even allowing you to continue conversations with full context weeks later. Perplexity remembers key details across conversations for more tailored and efficient responses. Preferences like favorite brands, hobbies, and active projects are stored securely to provide context for future answers. Memory is a powerful addition to AI assistants like Comet. Perplexity not only remembers your past threads, but also pulls context from active projects, open tabs, and your own strengths. You have complete control over what Perplexity remembers. View, delete, or turn off saved memories at any time in your settings. Memories and search history are automatically disabled in incognito mode. Read more about memory in Perplexity: https://lnkd.in/gd8pQJnz

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Funding

Perplexity 11 total rounds

Last Round

Series unknown

US$ 200.0M

See more info on crunchbase