Perplexity’s cover photo
Perplexity

Perplexity

Software Development

San Francisco, California 1,599,815 followers

About us

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

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

    1,599,815 followers

    Computer now connects to Snowflake. Run end-to-end work against live warehouse data and get answers with SQL, source tables, filters, and metrics. It’s like a personal data science team, on call with accurate answers from live company data. Build dashboards and automations from your Snowflake data for pipeline analysis, product usage, customer segments, and more. Admins maintain control over access, business definitions, and shared data logic across the organization. Learn more: https://lnkd.in/gJYWuUA4

  • View organization page for Perplexity

    1,599,815 followers

    Computer is secure by default. Every task runs in its own hardware-isolated sandbox with VPC-level storage and compute separation. Agents are authenticated with short-lived proxy tokens instead of raw API keys. External content is scanned in parallel by ML classifiers and the BrowseSafe model before agents act on it. File connector data is encrypted in transit and at rest, uploaded files automatically delete after 7 days, and more. Read more on the blog: https://lnkd.in/gZq9pbZe

  • View organization page for Perplexity

    1,599,815 followers

    PayPal runs 74,000 weekly tasks in Perplexity Enterprise. Teams use it for model validation, channel performance, market trend research, competitive intelligence, and product analysis. “Perplexity gives us the rationale behind every output, and that’s what lets us move with confidence,” says Graham Woods, a model governance lead at PayPal. Read the customer story: https://lnkd.in/g7vQBwR3

  • View organization page for Perplexity

    1,599,815 followers

    We published new research on how we serve post-trained Qwen3 235B models on NVIDIA GB200 NVL72 Blackwell racks. GB200 is a major step up over Hopper for high-throughput inference on large MoE models, not just a training platform. Prefill and decode stress hardware differently. Prefill is compute-bound, so Blackwell Tensor Cores, memory bandwidth, NVLink, and SHARP reductions help. Decode is latency/memory-bound, where GB200’s rack-scale NVLink domain opens up parallelism Hopper could not. The benchmarks show the gap. NVLS all-reduce latency drops from 586.1μs on H200 to 313.3μs on GB200. In MoE prefill at EP=4, combine falls from 730.1μs to 438.5μs. For decode, GB200 sustains much higher throughput at high token speeds. NVIDIA remains the strongest platform for large-model inference at scale. Prefill/decode disaggregation, Blackwell-native quantization, custom kernels, and rack-scale NVLink turn GB200 into faster answers lower serving cost. Read the full paper here https://lnkd.in/gAn5DmdD

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  • View organization page for Perplexity

    1,599,815 followers

    We've published our internal manual for building agent skills. Skills require a new way of thinking for developers. Zen of Python: Simple is better than complex. Zen of Skills: Complexity is the feature. A skill is a folder, not a file. Zen of Python: If the implementation is easy to explain, it may be a good idea. Zen of Skills: If it's easy to explain, the model already knows it. Delete. Zen of Python: Special cases aren't special enough to break the rules. Zen of Skills: Gotchas ARE the special cases (they're the highest-value content). Read more: https://lnkd.in/g_wgKE6u

  • View organization page for Perplexity

    1,599,815 followers

    Personal Computer is now available to all users in a new Perplexity Mac app. Personal Computer is an advanced version of Perplexity Computer. It operates on any Mac, running tasks across your local files, native Mac apps, the web, and Perplexity’s secure servers. Personal Computer in the Mac app allows Perplexity Computer to run continuously, autonomously, and locally. Paired with the Comet browser, it operates web-based tools without direct connectors. Local or remote, it takes agentic operations anywhere they’re needed. Personal Computer is built for the Apple Ecosystem, so you can manage it from anywhere. Start tasks from your iPhone with local files on your Mac. Add a Mac mini for full continuity and always-on agents. Manage agentic actions wherever you are. Download the new Perplexity Mac app to get Personal Computer: https://lnkd.in/gqUbvkKb We'll deprecate the old Perplexity Mac app in the coming weeks.

  • View organization page for Perplexity

    1,599,815 followers

    We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs. With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to peak performance on NVIDIA Hopper and Blackwell GPUs. Read the full post on our research blog. https://lnkd.in/gTeJxQEZ

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  • View organization page for Perplexity

    1,599,815 followers

    Finance Search is now available in the Perplexity Agent API. In one tool call, developers can now retrieve licensed financial datasets, real-time market data, and cited web sources for agents that need current, verifiable financial answers. On FinSearchComp T1, Finance Search delivered the highest accuracy for live financial data and the lowest cost per correct answer in the cohort. Finance Search supports questions that use live market data: prices, fundamentals, earnings, filings, and market context. Agents can run valuation lookups, earnings recaps, and market monitors without separate data provider integrations. Every result includes citations, so financial agents can be current, accurate, and easy to verify. Read more here: https://lnkd.in/gnGCjxyW

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  • View organization page for Perplexity

    1,599,815 followers

    Perplexity and Computer now connect to premium health sources, starting with The New England Journal of Medicine and BMJ Group, with 9 more medical journals and clinical databases on the way. Ask health questions and get answers cited from the same sources relied on by hospitals and research institutions. Available to all Max and Enterprise subscribers in Perplexity and Computer. Available only in Computer for Pro subscribers. Read about premium health sources in Perplexity and Computer in our blog: https://lnkd.in/gEEECvFn

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  • View organization page for Perplexity

    1,599,815 followers

    Today we're launching Perplexity Computer for Professional Finance. Finance teams can now bring licensed data from providers like Morningstar, PitchBook, Daloopa, and Carbon Arc into Computer. Computer also includes 40+ live finance tools for market data, filings, earnings transcripts, analyst ratings, and more. We’ve added 35 dedicated finance workflows for the work analysts repeat every week. Build company tearsheets, stock driver analysis, equity research comparisons, and sourcing screens starting from a prebuilt workflow. Every output is traceable. Computer shows where the data came from and links directly to the source behind key numbers. Click any citation or hyperlinked number to open the underlying SEC filing, earnings transcript, market data page, or licensed source. Available for all Pro and Max subscribers.

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Funding

Perplexity 11 total rounds

Last Round

Series unknown

US$ 200.0M

See more info on crunchbase